diff --git a/README.md b/README.md
index 1b0a80f..b934e95 100644
--- a/README.md
+++ b/README.md
@@ -58,6 +58,22 @@ from clx.models import DocketEntry
 print(DocketEntry.objects.all().count())
 ```
 
+## Data Ingestion
+
+You can bulk-add documents to a project using `add_docs()`:
+
+```python
+from clx.models import Project
+
+project = Project.objects.get(name="My Project")
+project.add_docs(["First document text", "Second document text"])
+
+# Or with metadata:
+project.add_docs([
+    {"text": "Document text", "meta": {"source": "courtlistener"}},
+])
+```
+
 ## Development
 
 Here are a few tips for setting up your development environment.
diff --git a/cc/CLAUDE.md b/cc/CLAUDE.md
deleted file mode 100644
index a51ee85..0000000
--- a/cc/CLAUDE.md
+++ /dev/null
@@ -1,820 +0,0 @@
-# Claude Experiment: Automated Annotation Workflow
-
-## Overview
-
-This experiment explores automating the human annotation workflow for the docket-entry classifier project. The goal is to have Claude perform the iterative steps that humans currently do—creating synthetic annotations, grounding decision boundaries, generating training sets, and preparing data for BERT fine-tuning.
-
-## Project Context
-
-- **Target Project**: `docket-entry` - classifying docket entries (motions, orders, etc.)
-- **Pipeline**: Synthetic annotations → Human grounding → AI annotation of training sets → BERT fine-tuning
-
-## Note on Dictation
-
-The user often uses dictation, so be forgiving of typos and odd formatting in spoken instructions. Defer to what's written in the code for canonical names and spellings (e.g., "Claude" may be transcribed as "Cloud").
-
-## Important: Import Pattern
-
-Always import models using the shim pattern:
-```python
-from clx.models import Label, LabelHeuristic, LabelDecision, Project
-```
-NOT `from clx.app.models import ...`. The shim at `clx/models.py` auto-initializes Django.
-
----
-
-## Step 1: Creating Heuristics for a Label
-
-### Purpose
-
-Heuristics partition the corpus into three buckets for efficient annotation:
-- **Excluded**: High-confidence negatives (don't meet minimal conditions)
-- **Neutral**: Uncertain cases (meet minimal but not likely conditions)
-- **Likely**: High-confidence positives (meet both minimal and likely conditions)
-
-### Two Types of Heuristics
-
-#### 1. Query String Heuristics
-
-Simple keyword conditions using a mini-language:
-
-| Operator | Meaning | Example |
-|----------|---------|---------|
-| `,` | AND (all must match) | `motion, court` |
-| `\|` | OR (any can match) | `motion\|filing` |
-| `~` | NOT (negation) | `~denied` |
-| `^` | Starts with | `^Summary` |
-
-**Precedence**: ORs are nested within ANDs. So `a, b|c` means `(a) AND (b OR c)`.
-
-**All matching is case-insensitive.**
-
-Examples:
-- `complaint` - contains "complaint" anywhere
-- `^motion` - starts with "motion"
-- `motion, ~denied` - contains "motion" AND does not contain "denied"
-- `motion|application|request` - contains any of these terms
-- `^motion, court|judge` - starts with "motion" AND contains "court" or "judge"
-
-#### 2. Custom Function Heuristics
-
-For complex logic, define a decorated function in `clx/app/custom_heuristics.py`:
-
-```python
-from clx.app.custom_heuristics import custom_heuristic
-
-def within_first(text, term, n):
-    """Helper: check if term appears in first n words."""
-    first_n = " ".join(text.split()[:n])
-    return term in first_n
-
-@custom_heuristic("docket-entry", "Motion")
-def first_3_motion(text, **kwargs):
-    """Matches if 'motion' appears in the first 3 words."""
-    return within_first(text.lower(), "motion", 3)
-```
-
-The decorator registers the function with:
-- `project_id`: Which project this applies to
-- `label_name`: Which label this is a heuristic for
-- The function receives `text` and must return `True`/`False`
-
-After adding custom heuristics, sync them:
-```python
-LabelHeuristic.sync_custom_heuristics()
-```
-
-### Minimal vs Likely Conditions
-
-**Minimal Conditions** (`is_minimal=True`):
-- Define what MUST be true for a positive example
-- Used to exclude obvious negatives
-- Should be conservative—avoid false exclusions
-- Example: A "Complaint" should contain "complaint" (or common misspellings)
-
-**Likely Conditions** (`is_likely=True`):
-- Define patterns that strongly suggest a positive
-- Used to identify easy positive cases
-- Can be more aggressive
-- Example: Text starting with "Complaint" is very likely a complaint
-
-### The Three Buckets Logic
-
-```
-EXCLUDED = does not match ANY minimal heuristic
-NEUTRAL  = matches at least one minimal BUT no likely heuristics
-LIKELY   = matches at least one minimal AND at least one likely heuristic
-```
-
-### Creating and Managing Heuristics
-
-```python
-from clx.models import Label, LabelHeuristic
-
-# Get the label
-label = Label.objects.get(project_id="docket-entry", name="Motion")
-
-# View existing heuristics
-for h in label.heuristics.all():
-    print(f"ID: {h.id}")
-    print(f"  Query: {h.querystring or h.custom}")
-    print(f"  is_minimal: {h.is_minimal}, is_likely: {h.is_likely}")
-    print(f"  Matches: {h.num_examples}, Applied: {h.applied_at}")
-
-# Create a querystring heuristic
-heuristic = LabelHeuristic.objects.create(
-    label=label,
-    querystring="motion|application|request",
-    is_minimal=True,
-)
-
-# Apply the heuristic (computes across corpus)
-heuristic.apply()
-
-# Create a likely heuristic
-likely_heuristic = LabelHeuristic.objects.create(
-    label=label,
-    querystring="^motion",
-    is_likely=True,
-)
-likely_heuristic.apply()
-
-# Check bucket counts
-label.refresh_from_db()
-print(f"Excluded: {label.num_excluded}")
-print(f"Neutral: {label.num_neutral}")
-print(f"Likely: {label.num_likely}")
-```
-
-### Guidelines for Claude
-
-1. **Start simple** - Don't overthink. Simple keyword matches work well.
-
-2. **Minimal conditions should be conservative**:
-   - Ask: "Could there ever be a positive example that doesn't match this?"
-   - If yes, broaden the condition or add alternatives with `|`
-   - Include common misspellings, abbreviations, synonyms
-
-3. **Likely conditions can be aggressive**:
-   - These just identify easy cases, not all cases
-   - Prefix matches (`^term`) are often good likely conditions
-
-4. **Iterate based on counterexamples**:
-   - If you find a positive example in the "excluded" bucket → expand minimal condition
-   - If you find obvious positives in "neutral" → add likely conditions
-
-5. **Multiple heuristics combine with OR**:
-   - Multiple minimal heuristics: excluded if matches NONE of them
-   - Multiple likely heuristics: likely if matches ANY of them
-
----
-
-## Step 2: Create Annotation Decisions
-
-### Purpose
-
-Decisions are reason-annotated examples that define decision boundaries. They serve two purposes:
-1. Document where we're drawing the line on edge cases
-2. Provide training examples for the GEPA predictor optimization
-
-### What Makes a Good Decision
-
-- **Keep it minimal**: Humans should be able to review all decisions and understand the labeling policy
-- **Include obvious examples**: At least one clear positive example ("This is obviously a complaint")
-- **Focus on edge cases**: Where the boundary isn't obvious
-- **Short reasons**: 1-2 sentences explaining why
-
-### Examples of Good Decisions
-
-For a "Complaint" label:
-- **Positive**: "Complaint for Damages" → `True`, "This is clearly a complaint filing"
-- **Negative**: "Submission of Complaint as Exhibit" → `False`, "This references a complaint but is not the complaint itself"
-- **Negative**: "Response to Complaint" → `False`, "This is a response document, not the complaint"
-
-For a "Motion" label:
-- **Positive**: "Motion for Summary Judgment" → `True`, "Standard motion filing"
-- **Positive**: "Application for Extension of Time" → `True`, "Applications that request court action are functionally motions"
-- **Negative**: "Opposition to Motion" → `False`, "This opposes a motion but is not itself a motion"
-
-### Creating Decisions
-
-```python
-from clx.models import Label, LabelDecision
-from clx import generate_hash
-
-label = Label.objects.get(project_id="docket-entry", name="Motion")
-
-# View existing decisions
-for d in label.decisions.all():
-    print(f"Value: {d.value}")
-    print(f"Text: {d.text[:100]}...")
-    print(f"Reason: {d.reason}")
-    print()
-
-# Create a decision from text
-text = "Motion for Summary Judgment filed by Defendant"
-decision = LabelDecision.objects.create(
-    label=label,
-    text_hash=generate_hash(text),
-    text=text,
-    value=True,
-    reason="Standard motion filing requesting summary judgment"
-)
-
-# Or create from a search result (has text_hash already)
-# See Search section for how to find examples
-```
-
-### Guidelines for Claude
-
-1. **Start with 1-2 obvious decisions** per label
-2. **Add edge case decisions as you encounter them** during review
-3. **Keep reasons brief but clear** - they'll be used for predictor training
-4. **Update decisions if needed** - the same text_hash will update the existing decision
-
----
-
-## Step 3: Sample the Training Set
-
-### Purpose
-
-The training set is a diverse sample of examples used for:
-- Running predictor inference
-- Training fine-tuned BERT models
-- Evaluating model performance
-
-### How Sampling Works
-
-The trainset samples from multiple sources to ensure diversity:
-
-1. **Heuristic buckets**: Random samples from excluded, neutral, and likely buckets
-2. **Decision neighbors**: Semantic neighbors of each decision (finds similar edge cases)
-
-Default configuration (configurable per label):
-- `trainset_num_excluded`: 1000 examples from excluded bucket
-- `trainset_num_neutral`: 1000 examples from neutral bucket
-- `trainset_num_likely`: 1000 examples from likely bucket
-- `trainset_num_decision_neighbors`: 50 neighbors per decision
-
-The sampling uses "mesh sort" to select diverse examples (not just random).
-
-### Train vs Eval Split
-
-- **Train split**: Main sample (ratio=1.0)
-- **Eval split**: Smaller sample (ratio=0.2) for evaluation
-
-### Updating the Trainset
-
-```python
-from clx.models import Label
-
-label = Label.objects.get(project_id="docket-entry", name="Motion")
-
-# Configure sampling parameters (optional)
-label.trainset_num_excluded = 1000
-label.trainset_num_neutral = 1000
-label.trainset_num_likely = 1000
-label.trainset_num_decision_neighbors = 50
-label.save()
-
-# Sample the trainset
-label.update_trainset()
-
-# Check what was sampled
-print(f"Train examples: {label.trainset_examples.filter(split='train').count()}")
-print(f"Eval examples: {label.trainset_examples.filter(split='eval').count()}")
-```
-
-### When to Resample
-
-Resample the trainset when:
-- You add new decisions (to include their neighbors)
-- You change heuristics significantly
-- You want different sampling parameters
-
-**Note**: Resampling will require re-running predictions (Step 4), which costs money.
-
----
-
-## Step 4: Fit and Run Predictor
-
-### Purpose
-
-The predictor is a small LLM (GPT-mini, Gemini Flash, etc.) that classifies examples. It uses GEPA (a DSPY optimization algorithm) to generate an optimized classification prompt based on your decisions.
-
-### Cost Warning
-
-Running predictions costs money (~$2-3 per full trainset run). Plan your workflow to minimize re-runs:
-- Batch multiple decisions before resampling
-- Fix as many issues as possible before re-running predictions
-- The iteration loop is: decisions → resample → fit predictor → run predictions → review → repeat
-
-### Fitting the Predictor
-
-Fitting uses your decisions to optimize a classification prompt:
-
-```python
-from clx.models import Label
-
-label = Label.objects.get(project_id="docket-entry", name="Motion")
-
-# Configure models (optional)
-label.inference_model = "openai/gpt-5-mini"  # For predictions
-label.teacher_model = "openai/gpt-5"         # For GEPA optimization
-label.save()
-
-# Fit the predictor (uses decisions as training examples)
-label.fit_predictor()
-# This will print the cost when done
-```
-
-### Running Predictions
-
-After fitting, run predictions across the trainset:
-
-```python
-label.update_trainset_preds(num_threads=128)
-
-# Check prediction counts
-label.refresh_from_db()
-print(f"Positive predictions: {label.trainset_num_positive_preds}")
-print(f"Negative predictions: {label.trainset_num_negative_preds}")
-```
-
-### Viewing Predictions with Reasons
-
-The predictor outputs both a value and a reason for each prediction:
-
-```python
-# View trainset examples with predictions
-for ex in label.trainset_examples.filter(pred__isnull=False)[:10]:
-    print(f"Pred: {ex.pred}")
-    print(f"Text: {ex.text[:100]}...")
-    print(f"Reason: {ex.reason}")
-    print()
-```
-
----
-
-## Step 5: Train Fine-tuned Models
-
-### Purpose
-
-Fine-tuned BERT models are the production output. They're fast and cheap to run at scale. We train them on the predictor's outputs.
-
-### Two Configs
-
-- **`main`**: Full training (10 epochs) - the production model
-- **`underfit`**: Light training (1 epoch) - useful for finding different failure modes
-
-Training both configs helps identify disagreements between models.
-
-### Training Process
-
-Training can be done via CLI or programmatically:
-
-```bash
-# CLI: Train main model (10 epochs)
-clx train docket-entry "Motion" main
-
-# CLI: Train underfit model (1 epoch)
-clx train docket-entry "Motion" underfit
-```
-
-```python
-# Programmatic: Train a specific config
-label = Label.objects.get(project_id="docket-entry", name="Motion")
-label.train_finetune("main")
-```
-
-The training process:
-1. Prepares training data from the trainset
-2. Runs training remotely in the cloud
-3. Runs predictions on the trainset using the trained model
-4. Updates the finetune tags and saves eval results
-
-### Update All (Recommended)
-
-The `update_all` method runs the full pipeline, but **only steps that are out of date**:
-
-```python
-label = Label.objects.get(project_id="docket-entry", name="Motion")
-
-# Run only what's needed based on timestamps
-label.update_all()
-
-# Force run everything regardless of timestamps
-label.update_all(force=True)
-```
-
-This checks timestamps and runs:
-1. **Resample trainset** - if decisions are newer than trainset
-2. **Fit predictor** - if trainset is newer than predictor
-3. **Run predictions** - if predictor is newer than predictions
-4. **Train finetunes** - if predictions are newer than finetunes
-5. **Run global corpus predictions** - only if `predict=True` and main finetune is newer than global predictions
-
-```python
-# Also run global corpus predictions (step 5)
-label.update_all(predict=True)
-```
-
-### Programmatic Access
-
-```python
-from clx.models import Label
-
-label = Label.objects.get(project_id="docket-entry", name="Motion")
-
-# Prepare finetune data (for inspection)
-train_data, eval_data, config = label.prepare_finetune("main")
-
-# Get the trained model pipeline (runs remotely)
-pipe = label.get_finetune_run_pipe("main")
-predictions = pipe(["some text to classify"], batch_size=16)
-
-# View finetune results
-for ft in label.fintunes.all():
-    print(f"Config: {ft.config_name}")
-    print(f"Results: {ft.eval_results}")
-```
-
-### Global Corpus Predictions
-
-After training a finetune, you can run predictions across the **entire corpus** (not just the trainset). This is a separate step because it's more expensive and not always needed during development.
-
-Global predictions only run for the **main finetune config** (defined on the search model as `main_finetune_config`).
-
-```python
-# Run predictions across entire corpus using the main finetune config
-label.predict_finetune()
-
-# Force restart (clears cache and starts fresh)
-label.predict_finetune(force=True)
-```
-
-The `predict_finetune` method:
-1. **Uses the main finetune config** - defined on the search model (e.g., `DocketEntry.main_finetune_config = "main"`)
-2. **Is idempotent** - caches progress and picks up where it left off if interrupted
-3. **Uses a CSV cache** in the label's data directory (`data_dir/finetune_predictions_cache.csv`)
-4. **Updates the global finetune tag** (`ft`) when complete
-5. **Sets `predicted_at` timestamp** on the LabelFinetune object
-6. **Deletes the cache** after successful completion
-
-**Tags**:
-- `trainset:ft:{config}` - Predictions on trainset only (set by `train_finetune`)
-- `ft` - Predictions on entire corpus for the main config (set by `predict_finetune`)
-
-**Timestamps** on LabelFinetune:
-- `finetuned_at` - When the model was last trained
-- `predicted_at` - When global corpus predictions were last run
-
----
-
-## Step 6: Review and Iterate
-
-### Finding Issues
-
-Use search to find examples where models might be wrong:
-
-1. **Review disagreements**: Examples where predictor and fine-tunes disagree
-2. **Search by heuristic bucket**: Look in neutral bucket for edge cases
-3. **Keyword search**: Find specific patterns
-4. **Semantic search**: Find examples similar to a known problem
-
-### Fast Annotations
-
-For quick fixes without full decision reasons, use fast annotations:
-
-```python
-from clx.models import Label
-
-label = Label.objects.get(project_id="docket-entry", name="Motion")
-model = label.project.get_search_model()
-
-# Get an example
-example = model.objects.get(id=12345)
-
-# Set annotation (no reason needed)
-example.set_annotation(label, True)   # Mark as positive
-example.set_annotation(label, False)  # Mark as negative
-example.set_annotation(label, "flag") # Flag for exclusion from trainset
-example.set_annotation(label, None)   # Clear annotation
-```
-
-Flagged examples are excluded from the trainset entirely.
-
-### The Iteration Loop
-
-1. **Search** for potential issues (disagreements, specific patterns, etc.)
-2. **Review** examples and identify errors
-3. **Fix** via decisions (for edge cases needing reasons) or fast annotations (for quick fixes)
-4. **Batch fixes** - do as many as possible before re-running
-5. **Resample trainset** (`label.update_trainset()`)
-6. **Refit predictor** (`label.fit_predictor()`)
-7. **Re-run predictions** (`label.update_trainset_preds()`)
-8. **Retrain models** (CLI train commands)
-9. **Repeat**
-
----
-
-## Search Reference
-
-The search system is the primary way to find and review examples.
-
-### Basic Search
-
-```python
-from clx.models import Project
-
-project = Project.objects.get(id="docket-entry")
-model = project.get_search_model()
-
-# Simple search - returns dict with 'data' key
-results = model.objects.search(page=1, page_size=100)
-for item in results["data"]:
-    print(item["id"], item["text"][:80])
-```
-
-### Search Parameters
-
-All parameters go in a `params` dict:
-
-```python
-results = model.objects.search(
-    active_label_id=label.id,  # Required for most filters
-    params={
-        # Heuristic bucket filter
-        "heuristic_bucket": "excluded" | "neutral" | "likely",
-
-        # Trainset filter
-        "trainset_split": "train" | "eval" | "both",
-
-        # Predictor prediction filter
-        "predictor_value": "true" | "false",
-
-        # Manual annotation filter
-        "annotation_value": "true" | "false" | "flag" | "any" | "none",
-
-        # Find disagreements between models
-        "review_disagreements": True,
-
-        # Keyword search (uses query string syntax)
-        "querystring": "motion, ~denied",
-    },
-    page=1,
-    page_size=100,
-)
-```
-
-### Semantic Search
-
-Find examples similar to a query or embedding:
-
-```python
-# Search by text similarity
-results = model.objects.search(
-    semantic_sort="motion for summary judgment",
-    page_size=50,
-)
-
-# Or use an embedding directly
-embedding = [0.1, 0.2, ...]  # 96-dim vector
-results = model.objects.search(semantic_sort=embedding)
-```
-
-### Search Result Format
-
-Each result includes:
-
-```python
-{
-    "id": 12345,
-    "text_hash": "abc123...",
-    "text": "Full text of the example",
-    "tags": [1, 5, 12],  # Tag IDs
-    # If in trainset:
-    "split": "train" | "eval",
-    "pred": True | False | None,
-    "reason": "Predictor's reasoning...",
-}
-```
-
-### Count Only
-
-```python
-result = model.objects.search(
-    active_label_id=label.id,
-    params={"heuristic_bucket": "neutral"},
-    count=True,
-)
-print(f"Total: {result['total']}")
-```
-
-### Query String Syntax (Review)
-
-| Operator | Meaning | Example |
-|----------|---------|---------|
-| `,` | AND | `motion, court` |
-| `\|` | OR | `motion\|filing` |
-| `~` | NOT | `~denied` |
-| `^` | Starts with | `^Summary` |
-
----
-
-## Key Files Reference
-
-| Component | File | Key Lines |
-|-----------|------|-----------|
-| Models | `clx/app/models.py` | Full file |
-| Search | `clx/app/search_utils.py` | `SearchQuerySet.search` |
-| Heuristics | `clx/app/models.py` | `LabelHeuristic` class |
-| Custom Heuristics | `clx/app/custom_heuristics.py` | Decorator pattern |
-| Train CLI | `clx/cli/train.py` | Export/train/import |
-| Views | `clx/app/views.py` | All endpoints |
-| **Helpers** | `experiment/helpers.py` | Claude Code utilities |
-
----
-
-## Helper Scripts for Claude Code
-
-The `experiment/helpers.py` module provides convenient functions for the annotation workflow:
-
-### Quick Status Check
-
-```python
-from experiment.helpers import print_label_status
-
-print_label_status("Motion")
-```
-
-### Searching and Viewing Examples
-
-```python
-from experiment.helpers import (
-    search_examples,
-    print_examples,
-    disagreements,
-    neutral_examples,
-    similar_to,
-)
-
-# Find disagreements between models
-examples = disagreements("Motion")
-print_examples(examples)
-
-# Look at edge cases (neutral bucket)
-examples = neutral_examples("Motion", page_size=10)
-print_examples(examples)
-
-# Find similar examples
-examples = similar_to("Motion", "application for extension of time")
-print_examples(examples, show_full_text=True)
-
-# Complex search
-examples = search_examples(
-    "Motion",
-    heuristic_bucket="neutral",
-    querystring="application",
-    page_size=20,
-)
-print_examples(examples)
-```
-
-### Creating Decisions
-
-```python
-from experiment.helpers import (
-    create_decision,
-    create_decision_from_id,
-    view_decisions,
-)
-
-# View existing decisions
-view_decisions("Motion")
-
-# Create from text
-create_decision(
-    "Motion",
-    text="Application for Extension of Time",
-    value=True,
-    reason="Applications requesting court action are functionally motions"
-)
-
-# Create from search result ID
-create_decision_from_id(
-    "Motion",
-    example_id=12345,
-    value=False,
-    reason="This is a response to a motion, not a motion itself"
-)
-```
-
-### Fast Annotations
-
-```python
-from experiment.helpers import annotate
-
-annotate("Motion", example_id=12345, value=True)   # Positive
-annotate("Motion", example_id=12346, value=False)  # Negative
-annotate("Motion", example_id=12347, value="flag") # Exclude from trainset
-```
-
-### Creating Heuristics
-
-```python
-from experiment.helpers import create_heuristic
-
-create_heuristic(
-    "Motion",
-    querystring="motion|application|request",
-    is_minimal=True,
-    apply=True,  # Immediately computes across corpus
-)
-```
-
----
-
-## Scales OKN Integration (docket-entry only)
-
-For the docket-entry project, we have predictions from Scales OKN—a similar classification project with pre-trained models for many of the same labels.
-
-### Available Scales Labels
-
-The following labels have Scales OKN predictions imported:
-
-| Scales Label | Our Label |
-|--------------|-----------|
-| summons | Summons |
-| waiver | Waiver |
-| brief | Brief / Memorandum |
-| arrest | Arrest |
-| warrant | Warrant |
-| verdict | Verdict |
-| answer | Answer |
-| complaint | Complaint |
-| indictment | Indictment |
-| information | Information |
-| petition | Petition |
-| notice | Notice |
-| response | Reply / Response |
-| minute entry | Minute Entry |
-| plea agreement | Plea Agreement |
-| judgment | Judgment |
-| stipulation | Stipulation |
-| motion | Motion |
-| order | Order |
-
-### How Scales Tags Work
-
-- Each label has a `LabelTag` with `name="scales"`
-- Positive Scales predictions (score > 0.5) are tagged
-- Absence of tag means Scales predicted negative (or no prediction)
-
-### Using Scales for Review
-
-Scales predictions are another source of feedback when reviewing. You can compare:
-- Examples where our models predict TRUE but Scales predicts FALSE
-- Examples where our models predict FALSE but Scales predicts TRUE
-
-**Important caveats:**
-1. **Scales is not ground truth** - it has errors and may make different annotation decisions
-2. **Scope to trainset** - we only compute our predictions on the trainset, so compare within trainset
-3. **Check against decisions** - if our models disagree with Scales but are consistent with our documented decisions, that's fine
-
-### Searching with Scales
-
-```python
-from experiment.helpers import search_examples
-
-# Find examples where we predict TRUE but Scales predicts FALSE
-# (These might be cases Scales missed, or cases we're wrong about)
-label = get_label("Motion")
-scales_tag = label.labeltag_set.filter(name="scales").first()
-
-# Search for trainset examples our predictor says TRUE
-examples = search_examples(
-    "Motion",
-    trainset_split="train",
-    predictor_value="true",
-)
-
-# Filter to those without scales tag (Scales said FALSE)
-# This requires checking tags manually or using raw search
-```
-
-### When to Use Scales Feedback
-
-- **After initial model training** - to find potential blind spots
-- **When reviewing disagreements** - as an additional signal
-- **NOT as automatic corrections** - always review why there's a disagreement
-
----
-
-## Notes
-
-- The docket-entry project uses `DocketEntry` as the search model
-- Heuristics create `LabelTag` entries attached to documents via PostgreSQL array fields
-- The `apply()` step processes documents in batches of 1M for efficiency
-- Predictions cost money - batch your changes before re-running
-- The main fine-tune model is the production output; underfit helps find different errors
diff --git a/cc/helpers.py b/cc/helpers.py
deleted file mode 100644
index 1bb3e9e..0000000
--- a/cc/helpers.py
+++ /dev/null
@@ -1,601 +0,0 @@
-"""
-Helper functions for Claude Code to interact with the CLX annotation workflow.
-
-These utilities make it easier to:
-- Search and view examples with predictions
-- Create decisions and annotations
-- Check label status
-"""
-
-from clx import generate_hash
-from clx.models import Label, LabelDecision, LabelHeuristic, Project
-
-
-def get_label(label_name: str, project_id: str = "docket-entry") -> Label:
-    """Get a label by name."""
-    return Label.objects.get(project_id=project_id, name=label_name)
-
-
-def get_project(project_id: str = "docket-entry") -> Project:
-    """Get a project by ID."""
-    return Project.objects.get(id=project_id)
-
-
-def label_status(label_name: str, project_id: str = "docket-entry") -> dict:
-    """Get comprehensive status of a label including warnings and decisions."""
-    label = get_label(label_name, project_id)
-
-    # Get all decisions with full info
-    decisions = [
-        {
-            "id": d.id,
-            "value": d.value,
-            "reason": d.reason,
-            "text": d.text,
-            "created_at": d.created_at,
-            "updated_at": d.updated_at,
-        }
-        for d in label.decisions.all().order_by("-updated_at")
-    ]
-
-    # Get finetunes with timestamps
-    finetunes = [
-        {
-            "config": ft.config_name,
-            "results": ft.eval_results,
-            "created_at": ft.created_at,
-            "updated_at": ft.updated_at,
-            "finetuned_at": ft.finetuned_at,
-            "predicted_at": ft.predicted_at,
-            "is_main": ft.config_name
-            == label.project.get_search_model().main_finetune_config,
-        }
-        for ft in label.fintunes.all()
-    ]
-
-    # Generate warnings based on timestamp comparisons
-    warnings = []
-
-    # Get latest decision timestamp
-    latest_decision_at = None
-    if decisions:
-        latest_decision_at = max(d["updated_at"] for d in decisions)
-
-    # Warning: decisions newer than trainset
-    if latest_decision_at and label.trainset_updated_at:
-        if latest_decision_at > label.trainset_updated_at:
-            warnings.append(
-                "Decisions updated since last trainset sampling - consider resampling"
-            )
-    elif latest_decision_at and not label.trainset_updated_at:
-        warnings.append("Trainset has never been sampled")
-
-    # Warning: trainset newer than predictor
-    if label.trainset_updated_at and label.predictor_updated_at:
-        if label.trainset_updated_at > label.predictor_updated_at:
-            warnings.append(
-                "Trainset updated since last predictor fit - consider refitting"
-            )
-    elif label.trainset_updated_at and not label.predictor_updated_at:
-        warnings.append("Predictor has never been fit")
-
-    # Warning: predictor newer than predictions
-    if label.predictor_updated_at and label.trainset_predictions_updated_at:
-        if label.predictor_updated_at > label.trainset_predictions_updated_at:
-            warnings.append(
-                "Predictor updated since last prediction run - consider rerunning predictions"
-            )
-    elif (
-        label.predictor_updated_at
-        and not label.trainset_predictions_updated_at
-    ):
-        warnings.append("Predictions have never been run")
-
-    # Warning: predictions newer than finetunes
-    if label.trainset_predictions_updated_at and finetunes:
-        for ft in finetunes:
-            finetuned_at = ft.get("finetuned_at")
-            if (
-                not finetuned_at
-                or label.trainset_predictions_updated_at > finetuned_at
-            ):
-                warnings.append(
-                    f"Predictions updated since '{ft['config']}' finetune - consider retraining"
-                )
-
-    # Warning: finetunes newer than global predictions
-    for ft in finetunes:
-        finetuned_at = ft.get("finetuned_at")
-        predicted_at = ft.get("predicted_at")
-        if finetuned_at and (not predicted_at or finetuned_at > predicted_at):
-            warnings.append(
-                f"'{ft['config']}' finetune updated since global predictions - consider running predict_finetune"
-            )
-
-    return {
-        "name": label.name,
-        "id": label.id,
-        "warnings": warnings,
-        "heuristic_buckets": {
-            "excluded": label.num_excluded,
-            "neutral": label.num_neutral,
-            "likely": label.num_likely,
-        },
-        "heuristics": [
-            {
-                "id": h.id,
-                "query": h.querystring or f"[custom: {h.custom}]",
-                "is_minimal": h.is_minimal,
-                "is_likely": h.is_likely,
-                "num_examples": h.num_examples,
-                "applied_at": h.applied_at,
-            }
-            for h in label.heuristics.all()
-        ],
-        "decisions": decisions,
-        "trainset": {
-            "train": label.trainset_examples.filter(split="train").count(),
-            "eval": label.trainset_examples.filter(split="eval").count(),
-            "updated_at": label.trainset_updated_at,
-        },
-        "predictor": {
-            "positive_preds": label.trainset_num_positive_preds,
-            "negative_preds": label.trainset_num_negative_preds,
-            "updated_at": label.trainset_predictions_updated_at,
-            "fitted_at": label.predictor_updated_at,
-            "inference_model": label.inference_model,
-            "teacher_model": label.teacher_model,
-        },
-        "finetunes": finetunes,
-    }
-
-
-def print_label_status(label_name: str, project_id: str = "docket-entry"):
-    """Print a formatted label status report."""
-    status = label_status(label_name, project_id)
-
-    print(f"=== Label: {status['name']} (ID: {status['id']}) ===\n")
-
-    # Show warnings prominently at the top
-    if status["warnings"]:
-        print("WARNINGS:")
-        for warning in status["warnings"]:
-            print(f"  ! {warning}")
-        print()
-
-    print("Heuristic Buckets:")
-    for bucket, count in status["heuristic_buckets"].items():
-        print(f"  {bucket}: {count:,}")
-
-    print(f"\nHeuristics ({len(status['heuristics'])}):")
-    for h in status["heuristics"]:
-        flags = []
-        if h["is_minimal"]:
-            flags.append("minimal")
-        if h["is_likely"]:
-            flags.append("likely")
-        flag_str = f" [{', '.join(flags)}]" if flags else ""
-        print(f"  {h['query']}{flag_str} → {h['num_examples']:,} matches")
-
-    print(f"\nDecisions ({len(status['decisions'])}):")
-    for d in status["decisions"]:
-        value_str = "TRUE" if d["value"] else "FALSE"
-        text_preview = (
-            d["text"][:80] + "..."
-            if d["text"] and len(d["text"]) > 80
-            else d["text"]
-        )
-        print(f"  [{value_str}] {text_preview}")
-        print(f"    Reason: {d['reason']}")
-
-    print("\nTrainset:")
-    print(f"  Train: {status['trainset']['train']:,}")
-    print(f"  Eval: {status['trainset']['eval']:,}")
-    print(f"  Updated: {status['trainset']['updated_at']}")
-
-    print("\nPredictor:")
-    print(f"  Positive preds: {status['predictor']['positive_preds']:,}")
-    print(f"  Negative preds: {status['predictor']['negative_preds']:,}")
-    print(f"  Fitted: {status['predictor']['fitted_at']}")
-    print(f"  Predictions updated: {status['predictor']['updated_at']}")
-
-    if status["finetunes"]:
-        print("\nFinetunes:")
-        for ft in status["finetunes"]:
-            print(f"  {ft['config']}:")
-            print(f"    Results: {ft['results']}")
-            print(f"    Finetuned at: {ft['finetuned_at']}")
-            print(f"    Global predictions at: {ft['predicted_at']}")
-
-
-def search_examples(
-    label_name: str,
-    project_id: str = "docket-entry",
-    heuristic_bucket: str | None = None,
-    trainset_split: str | None = None,
-    predictor_value: str | None = None,
-    annotation_value: str | None = None,
-    review_disagreements: bool = False,
-    querystring: str | None = None,
-    semantic_sort: str | None = None,
-    page: int = 1,
-    page_size: int = 20,
-) -> list[dict]:
-    """
-    Search for examples with full context.
-
-    Returns examples with:
-    - text and metadata
-    - predictor prediction and reason (if in trainset)
-    - finetune predictions
-    - annotation status
-    """
-    label = get_label(label_name, project_id)
-    model = label.project.get_search_model()
-
-    params = {}
-    if heuristic_bucket:
-        params["heuristic_bucket"] = heuristic_bucket
-    if trainset_split:
-        params["trainset_split"] = trainset_split
-    if predictor_value:
-        params["predictor_value"] = predictor_value
-    if annotation_value:
-        params["annotation_value"] = annotation_value
-    if review_disagreements:
-        params["review_disagreements"] = True
-    if querystring:
-        params["querystring"] = querystring
-
-    search_kwargs = {
-        "active_label_id": label.id,
-        "params": params,
-        "page": page,
-        "page_size": page_size,
-    }
-    if semantic_sort:
-        search_kwargs["semantic_sort"] = semantic_sort
-
-    results = model.objects.search(**search_kwargs)
-
-    # Enrich with tag information
-    enriched = []
-    for item in results.get("data", []):
-        tags = item.get("tags", [])
-
-        # Check annotation status
-        anno_status = None
-        if label.anno_true_tag.id in tags:
-            anno_status = "true"
-        elif label.anno_false_tag.id in tags:
-            anno_status = "false"
-        elif label.anno_flag_tag.id in tags:
-            anno_status = "flag"
-
-        # Check finetune predictions
-        finetune_preds = {}
-        for ft in label.fintunes.all():
-            ft_tag = label.get_trainset_finetune_tag(ft.config_name)
-            finetune_preds[ft.config_name] = ft_tag.id in tags
-
-        # Check predictor prediction
-        predictor_pred = label.trainset_pred_tag.id in tags
-
-        enriched.append(
-            {
-                "id": item["id"],
-                "text_hash": item["text_hash"],
-                "text": item["text"],
-                "annotation": anno_status,
-                "predictor_pred": predictor_pred
-                if item.get("split")
-                else None,
-                "predictor_reason": item.get("reason"),
-                "finetune_preds": finetune_preds if finetune_preds else None,
-                "trainset_split": item.get("split"),
-            }
-        )
-
-    return enriched
-
-
-def print_examples(
-    examples: list[dict],
-    show_full_text: bool = False,
-    max_text_len: int = 120,
-):
-    """Print examples in a readable format."""
-    for i, ex in enumerate(examples, 1):
-        print(f"\n{'=' * 60}")
-        print(f"[{i}] ID: {ex['id']}")
-
-        text = ex["text"]
-        if not show_full_text and len(text) > max_text_len:
-            text = text[:max_text_len] + "..."
-        print(f"Text: {text}")
-
-        # Predictions
-        preds = []
-        if ex.get("predictor_pred") is not None:
-            preds.append(f"predictor={ex['predictor_pred']}")
-        if ex.get("finetune_preds"):
-            for config, pred in ex["finetune_preds"].items():
-                preds.append(f"{config}={pred}")
-        if preds:
-            print(f"Predictions: {', '.join(preds)}")
-
-        if ex.get("predictor_reason"):
-            print(f"Reason: {ex['predictor_reason']}")
-
-        if ex.get("annotation"):
-            print(f"Annotation: {ex['annotation']}")
-
-        if ex.get("trainset_split"):
-            print(f"Split: {ex['trainset_split']}")
-
-
-def view_decisions(label_name: str, project_id: str = "docket-entry"):
-    """View all decisions for a label."""
-    label = get_label(label_name, project_id)
-
-    print(f"=== Decisions for {label_name} ===\n")
-
-    for d in label.decisions.all().order_by("-updated_at"):
-        value_str = "TRUE" if d.value else "FALSE"
-        print(f"[{value_str}] {d.text[:100]}...")
-        print(f"  Reason: {d.reason}")
-        print()
-
-
-def create_decision(
-    label_name: str,
-    example_id: int,
-    value: bool,
-    reason: str,
-    project_id: str = "docket-entry",
-) -> LabelDecision:
-    """
-    Create a decision from an example ID.
-
-    IMPORTANT: Always use example IDs from search results, not raw text.
-    This ensures the text_hash matches documents in the search table.
-    """
-    label = get_label(label_name, project_id)
-    model = label.project.get_search_model()
-    example = model.objects.get(id=example_id)
-
-    text = example.text
-    text_hash = generate_hash(text)
-
-    decision, created = LabelDecision.objects.update_or_create(
-        label=label,
-        text_hash=text_hash,
-        defaults={
-            "text": text,
-            "value": value,
-            "reason": reason,
-        },
-    )
-
-    action = "Created" if created else "Updated"
-    print(f"{action} decision: {value} - {reason}")
-    return decision
-
-
-def annotate(
-    label_name: str,
-    example_id: int,
-    value: bool | str | None,
-    project_id: str = "docket-entry",
-):
-    """
-    Set a fast annotation on an example.
-
-    value can be:
-    - True: positive
-    - False: negative
-    - "flag": exclude from trainset
-    - None: clear annotation
-    """
-    label = get_label(label_name, project_id)
-    model = label.project.get_search_model()
-    example = model.objects.get(id=example_id)
-    example.set_annotation(label, value)
-    print(f"Set annotation {value} on example {example_id}")
-
-
-def create_heuristic(
-    label_name: str,
-    querystring: str,
-    is_minimal: bool = False,
-    is_likely: bool = False,
-    apply: bool = False,
-    project_id: str = "docket-entry",
-) -> LabelHeuristic:
-    """Create and optionally apply a heuristic. Defaults to NOT applying."""
-    label = get_label(label_name, project_id)
-
-    heuristic = LabelHeuristic.objects.create(
-        label=label,
-        querystring=querystring,
-        is_minimal=is_minimal,
-        is_likely=is_likely,
-    )
-
-    if apply:
-        print(f"Applying heuristic: {querystring}")
-        heuristic.apply()
-        label.refresh_from_db()
-        print(f"Matches: {heuristic.num_examples:,}")
-        print(
-            f"Buckets - Excluded: {label.num_excluded:,}, Neutral: {label.num_neutral:,}, Likely: {label.num_likely:,}"
-        )
-
-    return heuristic
-
-
-# Quick aliases for common operations
-def disagreements(label_name: str, page_size: int = 20, **kwargs):
-    """Find examples where models disagree."""
-    return search_examples(
-        label_name,
-        review_disagreements=True,
-        page_size=page_size,
-        **kwargs,
-    )
-
-
-def neutral_examples(label_name: str, page_size: int = 20, **kwargs):
-    """Get examples from the neutral bucket (edge cases)."""
-    return search_examples(
-        label_name,
-        heuristic_bucket="neutral",
-        page_size=page_size,
-        **kwargs,
-    )
-
-
-def likely_examples(label_name: str, page_size: int = 20, **kwargs):
-    """Get examples from the likely bucket (probable positives)."""
-    return search_examples(
-        label_name,
-        heuristic_bucket="likely",
-        page_size=page_size,
-        **kwargs,
-    )
-
-
-def excluded_examples(label_name: str, page_size: int = 20, **kwargs):
-    """Get examples from the excluded bucket (probable negatives)."""
-    return search_examples(
-        label_name,
-        heuristic_bucket="excluded",
-        page_size=page_size,
-        **kwargs,
-    )
-
-
-def similar_to(label_name: str, text: str, page_size: int = 20, **kwargs):
-    """Find examples semantically similar to the given text."""
-    return search_examples(
-        label_name,
-        semantic_sort=text,
-        page_size=page_size,
-        **kwargs,
-    )
-
-
-def set_instructions(
-    label_name: str, instructions: str, project_id: str = "docket-entry"
-):
-    """Set the instructions for a label."""
-    label = get_label(label_name, project_id)
-    label.instructions = instructions
-    label.save()
-    print(f"Instructions saved for {label_name}")
-
-
-def view_heuristics(label_name: str, project_id: str = "docket-entry"):
-    """View all heuristics for a label."""
-    label = get_label(label_name, project_id)
-    print(f"=== Heuristics for {label_name} ===\n")
-    for h in label.heuristics.all():
-        flags = []
-        if h.is_minimal:
-            flags.append("minimal")
-        if h.is_likely:
-            flags.append("likely")
-        flag_str = f"[{', '.join(flags)}]" if flags else "[none]"
-        print(
-            f"  {flag_str} {h.querystring or f'[custom: {h.custom}]'} -> {h.num_examples:,} matches"
-        )
-
-
-def count_matches(querystring: str, project_id: str = "docket-entry") -> int:
-    """Count how many examples match a querystring without creating a heuristic."""
-    project = get_project(project_id)
-    model = project.get_search_model()
-    result = model.objects.search(
-        params={"querystring": querystring},
-        count=True,
-    )
-    return result.get("total", 0)
-
-
-def search_by_query(
-    querystring: str,
-    project_id: str = "docket-entry",
-    page: int = 1,
-    page_size: int = 20,
-) -> list[dict]:
-    """Search examples by querystring (without needing a label)."""
-    project = get_project(project_id)
-    model = project.get_search_model()
-    results = model.objects.search(
-        params={"querystring": querystring},
-        page=page,
-        page_size=page_size,
-    )
-    return [
-        {
-            "id": item["id"],
-            "text": item["text"],
-            "text_hash": item["text_hash"],
-        }
-        for item in results.get("data", [])
-    ]
-
-
-def print_search_results(results: list[dict], max_text_len: int = 120):
-    """Print search results in a compact format."""
-    for i, r in enumerate(results, 1):
-        text = r["text"]
-        if len(text) > max_text_len:
-            text = text[:max_text_len] + "..."
-        print(f"[{i}] (id={r['id']}) {text}")
-
-
-def setup_label(
-    label_name: str,
-    minimal_query: str,
-    likely_query: str,
-    instructions: str,
-    project_id: str = "docket-entry",
-    apply: bool = False,
-):
-    """Set up a label with minimal heuristic, likely heuristic, and instructions. Defaults to NOT applying."""
-    label = get_label(label_name, project_id)
-
-    # Set instructions
-    label.instructions = instructions
-    label.save()
-    print(f"Instructions saved for {label_name}")
-
-    # Create minimal heuristic
-    minimal_h = LabelHeuristic.objects.create(
-        label=label,
-        querystring=minimal_query,
-        is_minimal=True,
-    )
-    print(f"Created minimal heuristic: {minimal_query}")
-
-    # Create likely heuristic
-    likely_h = LabelHeuristic.objects.create(
-        label=label,
-        querystring=likely_query,
-        is_likely=True,
-    )
-    print(f"Created likely heuristic: {likely_query}")
-
-    if apply:
-        print("Applying heuristics...")
-        minimal_h.apply()
-        likely_h.apply()
-        label.refresh_from_db()
-        print(f"Minimal matches: {minimal_h.num_examples:,}")
-        print(f"Likely matches: {likely_h.num_examples:,}")
-        print(
-            f"Buckets - Excluded: {label.num_excluded:,}, Neutral: {label.num_neutral:,}, Likely: {label.num_likely:,}"
-        )
-
-    return label
diff --git a/clx/__init__.py b/clx/__init__.py
index 36613ae..0eeb93a 100644
--- a/clx/__init__.py
+++ b/clx/__init__.py
@@ -1,14 +1,7 @@
 # flake8: noqa: E402
-from pathlib import Path
-
-import simplejson as json
 from dotenv import load_dotenv
 
-config_path = Path.home() / ".cache" / "clx" / "config.json"
-if config_path.exists():
-    config = json.loads(config_path.read_text())
-    if config.get("autoload-env"):
-        load_dotenv(override=False)
+load_dotenv()
 
 from .utils import (
     S3,
diff --git a/clx/app/README.md b/clx/app/README.md
deleted file mode 100644
index a2a1260..0000000
--- a/clx/app/README.md
+++ /dev/null
@@ -1,29 +0,0 @@
-# Docket Viewer Application
-
-## Running the server
-
-You'll need to use Postgres with pgvector installed. If you want to use Docker, you can use the following command:
-
-```bash
-docker run -d \
-    --name pgvector \
-    --env-file .env \
-    -p 5432:5432 \
-    -v pgdata:/var/lib/postgresql/data \
-    pgvector/pgvector:pg16
-```
-
-You can run Django management commands with `clx manage`.
-
-For example, to run the development server:
-
-```bash
-clx manage runserver
-```
-
-If you are starting from scratch, you can initialize the database with:
-
-```bash
-clx manage makemigrations app
-clx manage migrate
-```
diff --git a/clx/app/agent.py b/clx/app/agent.py
new file mode 100644
index 0000000..9acf70c
--- /dev/null
+++ b/clx/app/agent.py
@@ -0,0 +1,260 @@
+import logging
+
+import litellm
+from django.db.models import Sum
+from shortuuid import uuid
+
+from clx.app.models import Message
+from clx.app.tools import (
+    AddTrainingExamples,
+    Annotate,
+    AskUser,
+    ClearToolHistory,
+    CompactMemory,
+    Search,
+    UpdateLabelInstructions,
+    UpdateProjectInstructions,
+)
+from clx.llm.agent import Agent, message_tokens
+
+logger = logging.getLogger("clx.autopilot")
+
+SYSTEM_PROMPT_TEMPLATE = """\
+You are an assistant for the project "{project_name}".
+You are working on the label "{label_name}".
+
+You have access to tools for searching project documents and updating
+instructions. Use them when the user asks you to find data, refine
+instructions, or configure the project.
+
+{project_instructions_block}\
+{label_instructions_block}\
+"""
+
+PROJECT_INSTRUCTIONS_BLOCK = """\
+## Project Instructions
+{project_instructions}
+
+"""
+
+LABEL_INSTRUCTIONS_BLOCK = """\
+## Label Instructions
+{label_instructions}
+
+"""
+
+
+class CLXAgent(Agent):
+    """A thread-backed agent that persists messages to the DB."""
+
+    default_tools = [
+        Search,
+        AddTrainingExamples,
+        Annotate,
+        CompactMemory,
+        ClearToolHistory,
+        UpdateLabelInstructions,
+        UpdateProjectInstructions,
+        AskUser,
+    ]
+
+    _internal_fields = {"name", "args", "hidden"}
+
+    def __init__(self, thread, **kwargs):
+        self.thread = thread
+        label = thread.label
+        project = label.project
+
+        # Build system prompt dynamically (never saved to DB).
+        project_instructions = project.instructions.strip()
+        label_instructions = label.instructions.strip()
+
+        project_block = (
+            PROJECT_INSTRUCTIONS_BLOCK.format(
+                project_instructions=project_instructions
+            )
+            if project_instructions
+            else ""
+        )
+        label_block = (
+            LABEL_INSTRUCTIONS_BLOCK.format(
+                label_instructions=label_instructions
+            )
+            if label_instructions
+            else ""
+        )
+
+        system_prompt = SYSTEM_PROMPT_TEMPLATE.format(
+            project_name=project.name,
+            label_name=label.name,
+            project_instructions_block=project_block,
+            label_instructions_block=label_block,
+        )
+
+        # Find the last compact message (if any) and load from there.
+        compact_msg = (
+            thread.messages.filter(is_compact=True)
+            .order_by("-created_at")
+            .first()
+        )
+
+        if compact_msg:
+            summary = compact_msg.data.get("content", "")
+            db_rows = list(
+                thread.messages.filter(created_at__gt=compact_msg.created_at)
+                .order_by("created_at")
+                .values_list("data", "hidden")
+            )
+            db_messages = [
+                {**data, "hidden": True} if hidden else data
+                for data, hidden in db_rows
+            ]
+            messages = [
+                {"role": "system", "content": system_prompt},
+                {
+                    "role": "user",
+                    "content": f"[Prior conversation summary]\n{summary}",
+                },
+            ] + db_messages
+            # +2 for system prompt and synthetic summary message
+            self._persisted_count = len(db_messages) + 2
+        else:
+            db_rows = list(
+                thread.messages.order_by("created_at").values_list(
+                    "data", "hidden"
+                )
+            )
+            db_messages = [
+                {**data, "hidden": True} if hidden else data
+                for data, hidden in db_rows
+            ]
+            messages = [
+                {"role": "system", "content": system_prompt}
+            ] + db_messages
+            self._persisted_count = len(db_messages) + 1
+
+        super().__init__(
+            model=thread.model,
+            messages=messages,
+            state=thread.state or {},
+            **kwargs,
+        )
+
+    @property
+    def sanitized_messages(self):
+        """Strip internal fields and summarize hidden messages."""
+        result = []
+        for message in self.messages:
+            cleaned = {
+                k: v
+                for k, v in message.items()
+                if k not in self._internal_fields
+            }
+            if message.get("hidden"):
+                if message.get("tool_calls"):
+                    # Keep tool names but strip arguments.
+                    cleaned["tool_calls"] = [
+                        {
+                            **tc,
+                            "function": {
+                                **tc["function"],
+                                "arguments": "{}",
+                            },
+                        }
+                        for tc in cleaned["tool_calls"]
+                    ]
+                    cleaned.pop("content", None)
+                elif message.get("role") == "tool":
+                    cleaned["content"] = "[Removed to preserve context]"
+                else:
+                    continue
+            result.append(cleaned)
+        return result
+
+    def active_token_count(self):
+        """Token count from last compact point onward, excluding hidden."""
+        compact_msg = (
+            self.thread.messages.filter(is_compact=True)
+            .order_by("-created_at")
+            .values_list("created_at", flat=True)
+            .first()
+        )
+        qs = self.thread.messages.filter(hidden=False)
+        if compact_msg:
+            qs = qs.filter(created_at__gte=compact_msg)
+        return qs.aggregate(total=Sum("num_tokens"))["total"] or 0
+
+    COMPACT_THRESHOLD = 25_000
+    COMPACT_MSG = (
+        "Compact your memory now. Write a detailed summary of the full "
+        "conversation so far. Make sure to keep track of your current "
+        "task instructions and progress in your compaction summary."
+    )
+
+    def compact_if_needed(self):
+        """Compact conversation if token count exceeds threshold."""
+        if self.active_token_count() > self.COMPACT_THRESHOLD:
+            logger.info("Token count exceeds 25k, compacting...")
+            self.run(self.COMPACT_MSG)
+
+    def autopilot_run(self, message):
+        """Run agent in autopilot mode.
+
+        Returns 'completed' or 'awaiting_input'.
+        """
+        # Run steps until CompleteTask is called or the turn ends.
+        for _ in range(self.max_steps):
+            response = self.step(message, call_tools=True)
+            message = None
+
+            if response.get("tool_calls"):
+                tool_names = {
+                    tc["function"]["name"] for tc in response["tool_calls"]
+                }
+                if "CompleteTask" in tool_names:
+                    return "completed"
+            else:
+                return "awaiting_input"
+
+        return "awaiting_input"
+
+    def on_step(self, response_message):
+        """Save any new messages to the database."""
+        new_messages = self.messages[self._persisted_count :]
+        if not new_messages:
+            return
+        objects = [
+            Message(
+                id=uuid(),
+                thread=self.thread,
+                data=msg,
+                num_tokens=message_tokens(msg),
+                is_compact=(
+                    msg.get("role") == "tool"
+                    and msg.get("name") == "CompactMemory"
+                ),
+                hidden=msg.get("hidden", False),
+            )
+            for msg in new_messages
+        ]
+        Message.objects.bulk_create(objects)
+        self._persisted_count = len(self.messages)
+
+        # Accumulate cost on the thread.
+        if self.r and self.r.usage:
+            try:
+                self.thread.total_cost += litellm.completion_cost(
+                    completion_response=self.r
+                )
+            except Exception:
+                pass
+
+        # Persist agent state and cost back to the thread.
+        self.thread.state = self.state
+        self.thread.save(
+            update_fields=[
+                "state",
+                "total_cost",
+                "updated_at",
+            ]
+        )
diff --git a/clx/app/apps.py b/clx/app/apps.py
index 85520bb..8d6969a 100644
--- a/clx/app/apps.py
+++ b/clx/app/apps.py
@@ -1,11 +1,5 @@
 from django.apps import AppConfig
-from django.db.models.signals import post_migrate
 
 
 class AppConfig(AppConfig):
     name = "clx.app"
-
-    def ready(self):
-        from .search_utils import init_search_models
-
-        post_migrate.connect(init_search_models)
diff --git a/clx/app/custom_heuristics.py b/clx/app/custom_heuristics.py
deleted file mode 100644
index a89e329..0000000
--- a/clx/app/custom_heuristics.py
+++ /dev/null
@@ -1,23 +0,0 @@
-custom_heuristics = {}
-
-
-def custom_heuristic(project_id, label_name):
-    def decorator(f):
-        custom_heuristics[f.__name__] = {
-            "project_id": project_id,
-            "label_name": label_name,
-            "apply_fn": f,
-        }
-        return f
-
-    return decorator
-
-
-def within_first(text, term, n):
-    first_n = " ".join(text.split()[:n])
-    return term in first_n
-
-
-@custom_heuristic("docket-entry", "Motion")
-def first_3_motion(text, **kwargs):
-    return within_first(text.lower(), "motion", 3)
diff --git a/clx/app/migrations/0000_custom.py b/clx/app/migrations/0000_custom.py
deleted file mode 100644
index 2815d95..0000000
--- a/clx/app/migrations/0000_custom.py
+++ /dev/null
@@ -1,15 +0,0 @@
-from django.conf import settings
-from django.contrib.postgres.operations import TrigramExtension
-from django.db import migrations
-from pgvector.django import VectorExtension
-
-
-class Migration(migrations.Migration):
-
-    dependencies = []
-
-    operations = [
-        TrigramExtension(),
-        VectorExtension(),
-        migrations.RunSQL(f"ALTER DATABASE {settings.DATABASES['default']['NAME']} SET hnsw.ef_search = 200;"),
-    ]
diff --git a/clx/app/migrations/0001_initial.py b/clx/app/migrations/0001_initial.py
index d1ac223..6d16499 100644
--- a/clx/app/migrations/0001_initial.py
+++ b/clx/app/migrations/0001_initial.py
@@ -1,10 +1,9 @@
-# Generated by Django 5.2.7 on 2025-12-11 15:01
+# Generated by Django 5.2.7 on 2026-04-06 19:55
 
-import django.contrib.postgres.fields
 import django.contrib.postgres.indexes
 import django.db.models.deletion
-import pgvector.django.halfvec
-import pgvector.django.indexes
+import django.utils.timezone
+import django_shortuuid.fields
 from django.db import migrations, models
 
 
@@ -13,244 +12,37 @@ class Migration(migrations.Migration):
     initial = True
 
     dependencies = [
-        ('app', '0000_custom'),
     ]
 
     operations = [
-        migrations.CreateModel(
-            name='DocketEntry',
-            fields=[
-                ('created_at', models.DateTimeField(auto_now_add=True)),
-                ('updated_at', models.DateTimeField(auto_now=True)),
-                ('text', models.TextField()),
-                ('text_prefix', models.CharField(max_length=50)),
-                ('text_hash', models.CharField(max_length=255)),
-                ('shuffle_sort', models.IntegerField()),
-                ('embedding', pgvector.django.halfvec.HalfVectorField(dimensions=96)),
-                ('id', models.BigIntegerField(primary_key=True, serialize=False)),
-                ('recap_id', models.BigIntegerField(unique=True)),
-                ('docket_id', models.BigIntegerField()),
-                ('entry_number', models.BigIntegerField(blank=True, null=True)),
-                ('date_filed', models.DateField(blank=True, null=True)),
-            ],
-            options={
-                'db_table': 'project_docket-entry_doc',
-            },
-        ),
-        migrations.CreateModel(
-            name='DocketEntryShort',
-            fields=[
-                ('created_at', models.DateTimeField(auto_now_add=True)),
-                ('updated_at', models.DateTimeField(auto_now=True)),
-                ('id', models.BigIntegerField(primary_key=True, serialize=False)),
-                ('text_prefix', models.CharField(max_length=50)),
-                ('text_hash', models.CharField(max_length=255)),
-                ('shuffle_sort', models.IntegerField()),
-                ('embedding', pgvector.django.halfvec.HalfVectorField(dimensions=96)),
-                ('text', models.TextField(unique=True)),
-                ('text_type', models.CharField(choices=[('short_description', 'Short Description'), ('attachment', 'Attachment')], max_length=255)),
-                ('count', models.IntegerField(default=0)),
-            ],
-            options={
-                'db_table': 'project_docket-entry-short_doc',
-            },
-        ),
-        migrations.CreateModel(
-            name='Label',
-            fields=[
-                ('id', models.BigAutoField(primary_key=True, serialize=False)),
-                ('created_at', models.DateTimeField(auto_now_add=True)),
-                ('updated_at', models.DateTimeField(auto_now=True)),
-                ('name', models.CharField(max_length=255)),
-                ('num_excluded', models.IntegerField(default=0)),
-                ('num_neutral', models.IntegerField(default=0)),
-                ('num_likely', models.IntegerField(default=0)),
-                ('instructions', models.TextField(blank=True, null=True)),
-                ('inference_model', models.CharField(choices=[('GPT-5 Mini', 'openai/gpt-5-mini'), ('GPT-5', 'openai/gpt-5'), ('Gemini 2.5 Flash Lite', 'gemini/gemini-2.5-flash-lite'), ('Gemini 2.5 Flash', 'gemini/gemini-2.5-flash'), ('Gemini 2.5 Pro', 'gemini/gemini-2.5-pro'), ('Qwen 235B-A22B', 'bedrock/qwen.qwen3-235b-a22b-2507-v1:0'), ('Claude Sonnet 4.5', 'bedrock/us.anthropic.claude-sonnet-4-5-20250929-v1:0')], default='openai/gpt-5-mini', max_length=255)),
-                ('teacher_model', models.CharField(choices=[('GPT-5 Mini', 'openai/gpt-5-mini'), ('GPT-5', 'openai/gpt-5'), ('Gemini 2.5 Flash Lite', 'gemini/gemini-2.5-flash-lite'), ('Gemini 2.5 Flash', 'gemini/gemini-2.5-flash'), ('Gemini 2.5 Pro', 'gemini/gemini-2.5-pro'), ('Qwen 235B-A22B', 'bedrock/qwen.qwen3-235b-a22b-2507-v1:0'), ('Claude Sonnet 4.5', 'bedrock/us.anthropic.claude-sonnet-4-5-20250929-v1:0')], default='openai/gpt-5', max_length=255)),
-                ('predictor_data', models.JSONField(blank=True, null=True)),
-                ('predictor_updated_at', models.DateTimeField(blank=True, null=True)),
-                ('trainset_examples_per_heuristic_bucket', models.IntegerField(default=1000)),
-                ('trainset_num_excluded', models.IntegerField(default=1000)),
-                ('trainset_num_neutral', models.IntegerField(default=1000)),
-                ('trainset_num_likely', models.IntegerField(default=1000)),
-                ('trainset_updated_at', models.DateTimeField(blank=True, null=True)),
-                ('trainset_predictions_updated_at', models.DateTimeField(blank=True, null=True)),
-                ('trainset_num_positive_preds', models.IntegerField(default=0)),
-                ('trainset_num_negative_preds', models.IntegerField(default=0)),
-            ],
-        ),
-        migrations.CreateModel(
-            name='LabelDecision',
-            fields=[
-                ('id', models.BigAutoField(primary_key=True, serialize=False)),
-                ('created_at', models.DateTimeField(auto_now_add=True)),
-                ('updated_at', models.DateTimeField(auto_now=True)),
-                ('text_hash', models.CharField(max_length=255)),
-                ('text', models.TextField(blank=True, null=True)),
-                ('value', models.BooleanField()),
-                ('reason', models.TextField()),
-            ],
-        ),
-        migrations.CreateModel(
-            name='LabelHeuristic',
-            fields=[
-                ('id', models.BigAutoField(primary_key=True, serialize=False)),
-                ('created_at', models.DateTimeField(auto_now_add=True)),
-                ('updated_at', models.DateTimeField(auto_now=True)),
-                ('querystring', models.TextField(blank=True, null=True)),
-                ('custom', models.CharField(blank=True, max_length=255, null=True)),
-                ('applied_at', models.DateTimeField(blank=True, null=True)),
-                ('is_minimal', models.BooleanField(default=False)),
-                ('is_likely', models.BooleanField(default=False)),
-                ('num_examples', models.IntegerField(default=0)),
-            ],
-            options={
-                'abstract': False,
-            },
-        ),
-        migrations.CreateModel(
-            name='LabelTag',
-            fields=[
-                ('id', models.BigAutoField(primary_key=True, serialize=False)),
-                ('created_at', models.DateTimeField(auto_now_add=True)),
-                ('updated_at', models.DateTimeField(auto_now=True)),
-                ('name', models.CharField(max_length=255)),
-                ('slug', models.CharField(max_length=255)),
-            ],
-        ),
-        migrations.CreateModel(
-            name='LabelTrainsetExample',
-            fields=[
-                ('id', models.BigAutoField(primary_key=True, serialize=False)),
-                ('created_at', models.DateTimeField(auto_now_add=True)),
-                ('updated_at', models.DateTimeField(auto_now=True)),
-                ('text_hash', models.CharField(max_length=255)),
-                ('text', models.TextField(blank=True, null=True)),
-                ('split', models.CharField(choices=[('train', 'Train'), ('eval', 'Eval')], max_length=10)),
-                ('pred', models.BooleanField(blank=True, null=True)),
-                ('reason', models.TextField(blank=True, null=True)),
-            ],
-        ),
         migrations.CreateModel(
             name='Project',
             fields=[
+                ('id', django_shortuuid.fields.ShortUUIDField(alphabet=None, blank=True, collision_check=True, editable=False, length=22, max_length=22, max_retries=10, prefix='', primary_key=True, serialize=False, unique=True)),
                 ('created_at', models.DateTimeField(auto_now_add=True)),
-                ('updated_at', models.DateTimeField(auto_now=True)),
-                ('id', models.CharField(max_length=255, primary_key=True, serialize=False)),
+                ('updated_at', models.DateTimeField(default=django.utils.timezone.now)),
                 ('name', models.CharField(max_length=255)),
-                ('model_name', models.CharField(max_length=255, unique=True)),
-                ('tags_model_name', models.CharField(blank=True, max_length=255, null=True)),
-                ('instructions', models.TextField(blank=True, null=True)),
             ],
             options={
                 'abstract': False,
             },
         ),
         migrations.CreateModel(
-            name='DocketEntryTags',
-            fields=[
-                ('id', models.OneToOneField(db_column='id', on_delete=django.db.models.deletion.CASCADE, primary_key=True, related_name='example_tags', serialize=False, to='app.docketentry')),
-                ('tags', django.contrib.postgres.fields.ArrayField(base_field=models.BigIntegerField(), blank=True, default=list, size=None)),
-            ],
-            options={
-                'db_table': 'project_docket-entry_tags',
-            },
-        ),
-        migrations.AddIndex(
-            model_name='docketentry',
-            index=models.Index(fields=['shuffle_sort', 'id'], name='docket-entry_s_idx'),
-        ),
-        migrations.AddIndex(
-            model_name='docketentry',
-            index=models.Index(fields=['text_prefix'], name='docket-entry_pr_idx', opclasses=['text_pattern_ops']),
-        ),
-        migrations.AddIndex(
-            model_name='docketentry',
-            index=django.contrib.postgres.indexes.GinIndex(fields=['text'], name='docket-entry_trg_idx', opclasses=['gin_trgm_ops']),
-        ),
-        migrations.AddIndex(
-            model_name='docketentry',
-            index=pgvector.django.indexes.HnswIndex(ef_construction=64, fields=['embedding'], m=16, name='docket-entry_hnsw_idx', opclasses=['halfvec_cosine_ops']),
-        ),
-        migrations.CreateModel(
-            name='DocketEntryShortTags',
+            name='Document',
             fields=[
-                ('id', models.OneToOneField(db_column='id', on_delete=django.db.models.deletion.CASCADE, primary_key=True, related_name='example_tags', serialize=False, to='app.docketentryshort')),
-                ('tags', django.contrib.postgres.fields.ArrayField(base_field=models.BigIntegerField(), blank=True, default=list, size=None)),
+                ('id', django_shortuuid.fields.ShortUUIDField(alphabet=None, blank=True, collision_check=True, editable=False, length=22, max_length=22, max_retries=10, prefix='', primary_key=True, serialize=False, unique=True)),
+                ('created_at', models.DateTimeField(auto_now_add=True)),
+                ('updated_at', models.DateTimeField(default=django.utils.timezone.now)),
+                ('text', models.TextField()),
+                ('text_prefix', models.CharField(max_length=50)),
+                ('meta', models.JSONField(blank=True, default=dict, null=True)),
+                ('shuffle_key', models.IntegerField()),
+                ('text_hash', models.CharField(max_length=64)),
+                ('project', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='documents', to='app.project')),
             ],
             options={
-                'db_table': 'project_docket-entry-short_tags',
+                'indexes': [models.Index(fields=['shuffle_key', 'id'], name='shuffle_key_idx'), models.Index(fields=['text_prefix'], name='text_prefix_idx', opclasses=['text_pattern_ops']), django.contrib.postgres.indexes.GinIndex(fields=['text'], name='text_trgm_idx', opclasses=['gin_trgm_ops'])],
+                'constraints': [models.UniqueConstraint(fields=('project', 'text_hash'), name='document_project_text_hash_uniq')],
             },
         ),
-        migrations.AddIndex(
-            model_name='docketentryshort',
-            index=models.Index(fields=['shuffle_sort', 'id'], name='docket-entry-short_s_idx'),
-        ),
-        migrations.AddIndex(
-            model_name='docketentryshort',
-            index=models.Index(fields=['text_prefix'], name='docket-entry-short_pr_idx', opclasses=['text_pattern_ops']),
-        ),
-        migrations.AddIndex(
-            model_name='docketentryshort',
-            index=django.contrib.postgres.indexes.GinIndex(fields=['text'], name='docket-entry-short_trg_idx', opclasses=['gin_trgm_ops']),
-        ),
-        migrations.AddIndex(
-            model_name='docketentryshort',
-            index=pgvector.django.indexes.HnswIndex(ef_construction=64, fields=['embedding'], m=16, name='docket-entry-short_hnsw_idx', opclasses=['halfvec_cosine_ops']),
-        ),
-        migrations.AddField(
-            model_name='labeldecision',
-            name='label',
-            field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='decisions', to='app.label'),
-        ),
-        migrations.AddField(
-            model_name='labelheuristic',
-            name='label',
-            field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='heuristics', to='app.label'),
-        ),
-        migrations.AddField(
-            model_name='labeltag',
-            name='heuristic',
-            field=models.OneToOneField(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='tag', to='app.labelheuristic'),
-        ),
-        migrations.AddField(
-            model_name='labeltag',
-            name='label',
-            field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='tags', to='app.label'),
-        ),
-        migrations.AddField(
-            model_name='labeltrainsetexample',
-            name='label',
-            field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='trainset_examples', to='app.label'),
-        ),
-        migrations.AddField(
-            model_name='label',
-            name='project',
-            field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='app.project'),
-        ),
-        migrations.AddIndex(
-            model_name='docketentrytags',
-            index=django.contrib.postgres.indexes.GinIndex(fields=['tags'], name='docket-entry_t_gin'),
-        ),
-        migrations.AddIndex(
-            model_name='docketentryshorttags',
-            index=django.contrib.postgres.indexes.GinIndex(fields=['tags'], name='docket-entry-short_t_gin'),
-        ),
-        migrations.AlterUniqueTogether(
-            name='labeldecision',
-            unique_together={('label', 'text_hash')},
-        ),
-        migrations.AlterUniqueTogether(
-            name='labeltag',
-            unique_together={('name', 'label')},
-        ),
-        migrations.AlterUniqueTogether(
-            name='labeltrainsetexample',
-            unique_together={('label', 'text_hash')},
-        ),
-        migrations.AlterUniqueTogether(
-            name='label',
-            unique_together={('project', 'name')},
-        ),
     ]
diff --git a/clx/app/migrations/0002_label_project_active_label_and_more.py b/clx/app/migrations/0002_label_project_active_label_and_more.py
new file mode 100644
index 0000000..2c6f6da
--- /dev/null
+++ b/clx/app/migrations/0002_label_project_active_label_and_more.py
@@ -0,0 +1,35 @@
+# Generated by Django 5.2.7 on 2026-04-06 20:55
+
+import django.db.models.deletion
+import django.utils.timezone
+import django_shortuuid.fields
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0001_initial'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='Label',
+            fields=[
+                ('id', django_shortuuid.fields.ShortUUIDField(alphabet=None, blank=True, collision_check=True, editable=False, length=22, max_length=22, max_retries=10, prefix='', primary_key=True, serialize=False, unique=True)),
+                ('created_at', models.DateTimeField(auto_now_add=True)),
+                ('updated_at', models.DateTimeField(default=django.utils.timezone.now)),
+                ('name', models.CharField(max_length=255)),
+                ('project', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='labels', to='app.project')),
+            ],
+        ),
+        migrations.AddField(
+            model_name='project',
+            name='active_label',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='app.label'),
+        ),
+        migrations.AddConstraint(
+            model_name='label',
+            constraint=models.UniqueConstraint(fields=('project', 'name'), name='label_project_name_uniq'),
+        ),
+    ]
diff --git a/clx/app/migrations/0002_label_trainset_num_decision_neighbors_and_more.py b/clx/app/migrations/0002_label_trainset_num_decision_neighbors_and_more.py
deleted file mode 100644
index 6325bde..0000000
--- a/clx/app/migrations/0002_label_trainset_num_decision_neighbors_and_more.py
+++ /dev/null
@@ -1,24 +0,0 @@
-# Generated by Django 5.2.7 on 2025-12-24 02:42
-
-import django.db.models.deletion
-from django.db import migrations, models
-
-
-class Migration(migrations.Migration):
-
-    dependencies = [
-        ('app', '0001_initial'),
-    ]
-
-    operations = [
-        migrations.AddField(
-            model_name='label',
-            name='trainset_num_decision_neighbors',
-            field=models.IntegerField(default=50),
-        ),
-        migrations.AlterField(
-            model_name='label',
-            name='project',
-            field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='labels', to='app.project'),
-        ),
-    ]
diff --git a/clx/app/migrations/0003_label_instructions_thread_message.py b/clx/app/migrations/0003_label_instructions_thread_message.py
new file mode 100644
index 0000000..1e62469
--- /dev/null
+++ b/clx/app/migrations/0003_label_instructions_thread_message.py
@@ -0,0 +1,48 @@
+# Generated by Django 5.2.7 on 2026-04-06 22:03
+
+import django.db.models.deletion
+import django.utils.timezone
+import django_shortuuid.fields
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0002_label_project_active_label_and_more'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='label',
+            name='instructions',
+            field=models.TextField(blank=True, default=''),
+        ),
+        migrations.CreateModel(
+            name='Thread',
+            fields=[
+                ('id', django_shortuuid.fields.ShortUUIDField(alphabet=None, blank=True, collision_check=True, editable=False, length=22, max_length=22, max_retries=10, prefix='', primary_key=True, serialize=False, unique=True)),
+                ('created_at', models.DateTimeField(auto_now_add=True)),
+                ('updated_at', models.DateTimeField(default=django.utils.timezone.now)),
+                ('model', models.CharField(max_length=255)),
+                ('label', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='threads', to='app.label')),
+            ],
+            options={
+                'abstract': False,
+            },
+        ),
+        migrations.CreateModel(
+            name='Message',
+            fields=[
+                ('id', django_shortuuid.fields.ShortUUIDField(alphabet=None, blank=True, collision_check=True, editable=False, length=22, max_length=22, max_retries=10, prefix='', primary_key=True, serialize=False, unique=True)),
+                ('created_at', models.DateTimeField(auto_now_add=True)),
+                ('updated_at', models.DateTimeField(default=django.utils.timezone.now)),
+                ('data', models.JSONField(default=dict)),
+                ('num_tokens', models.IntegerField(default=0)),
+                ('thread', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='messages', to='app.thread')),
+            ],
+            options={
+                'abstract': False,
+            },
+        ),
+    ]
diff --git a/clx/app/migrations/0003_labelfinetune.py b/clx/app/migrations/0003_labelfinetune.py
deleted file mode 100644
index 6b996e4..0000000
--- a/clx/app/migrations/0003_labelfinetune.py
+++ /dev/null
@@ -1,28 +0,0 @@
-# Generated by Django 5.2.7 on 2025-12-29 12:59
-
-import django.db.models.deletion
-from django.db import migrations, models
-
-
-class Migration(migrations.Migration):
-
-    dependencies = [
-        ('app', '0002_label_trainset_num_decision_neighbors_and_more'),
-    ]
-
-    operations = [
-        migrations.CreateModel(
-            name='LabelFinetune',
-            fields=[
-                ('id', models.BigAutoField(primary_key=True, serialize=False)),
-                ('created_at', models.DateTimeField(auto_now_add=True)),
-                ('updated_at', models.DateTimeField(auto_now=True)),
-                ('config_name', models.CharField(max_length=255)),
-                ('eval_results', models.JSONField(blank=True, null=True)),
-                ('label', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='fintunes', to='app.label')),
-            ],
-            options={
-                'abstract': False,
-            },
-        ),
-    ]
diff --git a/clx/app/migrations/0004_labelfinetune_finetuned_at_and_more.py b/clx/app/migrations/0004_labelfinetune_finetuned_at_and_more.py
deleted file mode 100644
index c5e4b19..0000000
--- a/clx/app/migrations/0004_labelfinetune_finetuned_at_and_more.py
+++ /dev/null
@@ -1,23 +0,0 @@
-# Generated by Django 5.2.7 on 2026-01-15 18:50
-
-from django.db import migrations, models
-
-
-class Migration(migrations.Migration):
-
-    dependencies = [
-        ('app', '0003_labelfinetune'),
-    ]
-
-    operations = [
-        migrations.AddField(
-            model_name='labelfinetune',
-            name='finetuned_at',
-            field=models.DateTimeField(blank=True, null=True),
-        ),
-        migrations.AddField(
-            model_name='labelfinetune',
-            name='predicted_at',
-            field=models.DateTimeField(blank=True, null=True),
-        ),
-    ]
diff --git a/clx/app/migrations/0004_project_instructions_project_manual_instructions_and_more.py b/clx/app/migrations/0004_project_instructions_project_manual_instructions_and_more.py
new file mode 100644
index 0000000..689cff1
--- /dev/null
+++ b/clx/app/migrations/0004_project_instructions_project_manual_instructions_and_more.py
@@ -0,0 +1,28 @@
+# Generated by Django 5.2.7 on 2026-04-06 22:42
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0003_label_instructions_thread_message'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='project',
+            name='instructions',
+            field=models.TextField(blank=True, default=''),
+        ),
+        migrations.AddField(
+            model_name='project',
+            name='manual_instructions',
+            field=models.BooleanField(default=False),
+        ),
+        migrations.AlterField(
+            model_name='thread',
+            name='model',
+            field=models.CharField(default='gemini/gemini-3.1-pro-preview', max_length=255),
+        ),
+    ]
diff --git a/clx/app/migrations/0005_remove_labeltrainsetexample_reason_and_more.py b/clx/app/migrations/0005_remove_labeltrainsetexample_reason_and_more.py
deleted file mode 100644
index 73b31f7..0000000
--- a/clx/app/migrations/0005_remove_labeltrainsetexample_reason_and_more.py
+++ /dev/null
@@ -1,23 +0,0 @@
-# Generated by Django 5.2.7 on 2026-02-13 21:12
-
-import django.db.models.deletion
-from django.db import migrations, models
-
-
-class Migration(migrations.Migration):
-
-    dependencies = [
-        ('app', '0004_labelfinetune_finetuned_at_and_more'),
-    ]
-
-    operations = [
-        migrations.RemoveField(
-            model_name='labeltrainsetexample',
-            name='reason',
-        ),
-        migrations.AddField(
-            model_name='labeltrainsetexample',
-            name='decision',
-            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='trainset_examples', to='app.labeldecision'),
-        ),
-    ]
diff --git a/clx/app/migrations/0005_remove_project_manual_instructions.py b/clx/app/migrations/0005_remove_project_manual_instructions.py
new file mode 100644
index 0000000..7735cdd
--- /dev/null
+++ b/clx/app/migrations/0005_remove_project_manual_instructions.py
@@ -0,0 +1,17 @@
+# Generated by Django 5.2.7 on 2026-04-07 15:51
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0004_project_instructions_project_manual_instructions_and_more'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='project',
+            name='manual_instructions',
+        ),
+    ]
diff --git a/clx/app/migrations/0006_remove_labeltrainsetexample_decision_and_more.py b/clx/app/migrations/0006_remove_labeltrainsetexample_decision_and_more.py
deleted file mode 100644
index e8dad74..0000000
--- a/clx/app/migrations/0006_remove_labeltrainsetexample_decision_and_more.py
+++ /dev/null
@@ -1,22 +0,0 @@
-# Generated by Django 5.2.7 on 2026-02-16 22:16
-
-from django.db import migrations, models
-
-
-class Migration(migrations.Migration):
-
-    dependencies = [
-        ('app', '0005_remove_labeltrainsetexample_reason_and_more'),
-    ]
-
-    operations = [
-        migrations.RemoveField(
-            model_name='labeltrainsetexample',
-            name='decision',
-        ),
-        migrations.AddField(
-            model_name='labeltrainsetexample',
-            name='reason',
-            field=models.TextField(blank=True, null=True),
-        ),
-    ]
diff --git a/clx/app/migrations/0006_thread_state.py b/clx/app/migrations/0006_thread_state.py
new file mode 100644
index 0000000..31adf47
--- /dev/null
+++ b/clx/app/migrations/0006_thread_state.py
@@ -0,0 +1,18 @@
+# Generated by Django 5.2.7 on 2026-04-07 16:05
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0005_remove_project_manual_instructions'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='thread',
+            name='state',
+            field=models.JSONField(blank=True, default=dict),
+        ),
+    ]
diff --git a/clx/app/migrations/0007_labeldocument.py b/clx/app/migrations/0007_labeldocument.py
new file mode 100644
index 0000000..41c14e2
--- /dev/null
+++ b/clx/app/migrations/0007_labeldocument.py
@@ -0,0 +1,29 @@
+# Generated by Django 5.2.7 on 2026-04-07 16:37
+
+import django.db.models.deletion
+import django.utils.timezone
+import django_shortuuid.fields
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0006_thread_state'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='LabelDocument',
+            fields=[
+                ('id', django_shortuuid.fields.ShortUUIDField(alphabet=None, blank=True, collision_check=True, editable=False, length=22, max_length=22, max_retries=10, prefix='', primary_key=True, serialize=False, unique=True)),
+                ('created_at', models.DateTimeField(auto_now_add=True)),
+                ('updated_at', models.DateTimeField(default=django.utils.timezone.now)),
+                ('document', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='label_documents', to='app.document')),
+                ('label', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='label_documents', to='app.label')),
+            ],
+            options={
+                'constraints': [models.UniqueConstraint(fields=('label', 'document'), name='labeldocument_label_document_uniq')],
+            },
+        ),
+    ]
diff --git a/clx/app/migrations/0007_remove_label_inference_model_and_more.py b/clx/app/migrations/0007_remove_label_inference_model_and_more.py
deleted file mode 100644
index e57578e..0000000
--- a/clx/app/migrations/0007_remove_label_inference_model_and_more.py
+++ /dev/null
@@ -1,48 +0,0 @@
-# Generated by Django 5.2.7 on 2026-02-17 15:15
-
-from django.db import migrations, models
-
-
-class Migration(migrations.Migration):
-
-    dependencies = [
-        ('app', '0006_remove_labeltrainsetexample_decision_and_more'),
-    ]
-
-    operations = [
-        migrations.RemoveField(
-            model_name='label',
-            name='inference_model',
-        ),
-        migrations.RemoveField(
-            model_name='label',
-            name='predictor_data',
-        ),
-        migrations.RemoveField(
-            model_name='label',
-            name='predictor_updated_at',
-        ),
-        migrations.RemoveField(
-            model_name='label',
-            name='teacher_model',
-        ),
-        migrations.RemoveField(
-            model_name='label',
-            name='trainset_examples_per_heuristic_bucket',
-        ),
-        migrations.AlterField(
-            model_name='label',
-            name='trainset_num_excluded',
-            field=models.IntegerField(default=50),
-        ),
-        migrations.AlterField(
-            model_name='label',
-            name='trainset_num_likely',
-            field=models.IntegerField(default=50),
-        ),
-        migrations.AlterField(
-            model_name='label',
-            name='trainset_num_neutral',
-            field=models.IntegerField(default=50),
-        ),
-    ]
diff --git a/clx/app/migrations/0008_alter_label_trainset_num_decision_neighbors_and_more.py b/clx/app/migrations/0008_alter_label_trainset_num_decision_neighbors_and_more.py
deleted file mode 100644
index eecf460..0000000
--- a/clx/app/migrations/0008_alter_label_trainset_num_decision_neighbors_and_more.py
+++ /dev/null
@@ -1,33 +0,0 @@
-# Generated by Django 5.2.7 on 2026-02-18 14:03
-
-import django.db.models.deletion
-from django.db import migrations, models
-
-
-class Migration(migrations.Migration):
-
-    dependencies = [
-        ('app', '0007_remove_label_inference_model_and_more'),
-    ]
-
-    operations = [
-        migrations.AlterField(
-            model_name='label',
-            name='trainset_num_decision_neighbors',
-            field=models.IntegerField(default=20),
-        ),
-        migrations.CreateModel(
-            name='LabelQuerystring',
-            fields=[
-                ('id', models.BigAutoField(primary_key=True, serialize=False)),
-                ('created_at', models.DateTimeField(auto_now_add=True)),
-                ('updated_at', models.DateTimeField(auto_now=True)),
-                ('querystring', models.TextField()),
-                ('num_examples', models.IntegerField(default=30)),
-                ('label', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='querystrings', to='app.label')),
-            ],
-            options={
-                'abstract': False,
-            },
-        ),
-    ]
diff --git a/clx/app/migrations/0008_alter_thread_model.py b/clx/app/migrations/0008_alter_thread_model.py
new file mode 100644
index 0000000..55061ef
--- /dev/null
+++ b/clx/app/migrations/0008_alter_thread_model.py
@@ -0,0 +1,18 @@
+# Generated by Django 5.2.7 on 2026-04-07 16:51
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0007_labeldocument'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='thread',
+            name='model',
+            field=models.CharField(default='openai/gpt-5.4', max_length=255),
+        ),
+    ]
diff --git a/clx/app/migrations/0009_alter_labelquerystring_num_examples_and_more.py b/clx/app/migrations/0009_alter_labelquerystring_num_examples_and_more.py
deleted file mode 100644
index ac46d73..0000000
--- a/clx/app/migrations/0009_alter_labelquerystring_num_examples_and_more.py
+++ /dev/null
@@ -1,22 +0,0 @@
-# Generated by Django 5.2.7 on 2026-02-18 14:36
-
-from django.db import migrations, models
-
-
-class Migration(migrations.Migration):
-
-    dependencies = [
-        ('app', '0008_alter_label_trainset_num_decision_neighbors_and_more'),
-    ]
-
-    operations = [
-        migrations.AlterField(
-            model_name='labelquerystring',
-            name='num_examples',
-            field=models.IntegerField(default=50),
-        ),
-        migrations.AlterUniqueTogether(
-            name='labelquerystring',
-            unique_together={('label', 'querystring')},
-        ),
-    ]
diff --git a/clx/app/migrations/0009_classificationannotation.py b/clx/app/migrations/0009_classificationannotation.py
new file mode 100644
index 0000000..2bbf346
--- /dev/null
+++ b/clx/app/migrations/0009_classificationannotation.py
@@ -0,0 +1,30 @@
+# Generated by Django 5.2.7 on 2026-04-07 18:09
+
+import django.db.models.deletion
+import django.utils.timezone
+import django_shortuuid.fields
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0008_alter_thread_model'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='ClassificationAnnotation',
+            fields=[
+                ('id', django_shortuuid.fields.ShortUUIDField(alphabet=None, blank=True, collision_check=True, editable=False, length=22, max_length=22, max_retries=10, prefix='', primary_key=True, serialize=False, unique=True)),
+                ('created_at', models.DateTimeField(auto_now_add=True)),
+                ('updated_at', models.DateTimeField(default=django.utils.timezone.now)),
+                ('value', models.CharField(choices=[('yes', 'Yes'), ('no', 'No'), ('skip', 'Skip')], max_length=4)),
+                ('source', models.CharField(max_length=255)),
+                ('label_document', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='annotations', to='app.labeldocument')),
+            ],
+            options={
+                'constraints': [models.UniqueConstraint(fields=('label_document', 'source'), name='annotation_labeldoc_source_uniq')],
+            },
+        ),
+    ]
diff --git a/clx/app/migrations/0010_labeldecision_added_to_sample_and_more.py b/clx/app/migrations/0010_labeldecision_added_to_sample_and_more.py
deleted file mode 100644
index 09b1f56..0000000
--- a/clx/app/migrations/0010_labeldecision_added_to_sample_and_more.py
+++ /dev/null
@@ -1,23 +0,0 @@
-# Generated by Django 5.2.7 on 2026-02-18 15:11
-
-from django.db import migrations, models
-
-
-class Migration(migrations.Migration):
-
-    dependencies = [
-        ('app', '0009_alter_labelquerystring_num_examples_and_more'),
-    ]
-
-    operations = [
-        migrations.AddField(
-            model_name='labeldecision',
-            name='added_to_sample',
-            field=models.BooleanField(default=False),
-        ),
-        migrations.AddField(
-            model_name='labelquerystring',
-            name='added_to_sample',
-            field=models.BooleanField(default=False),
-        ),
-    ]
diff --git a/clx/app/migrations/0010_thread_total_cost_thread_total_tokens.py b/clx/app/migrations/0010_thread_total_cost_thread_total_tokens.py
new file mode 100644
index 0000000..164eb0b
--- /dev/null
+++ b/clx/app/migrations/0010_thread_total_cost_thread_total_tokens.py
@@ -0,0 +1,23 @@
+# Generated by Django 5.2.7 on 2026-04-07 18:53
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0009_classificationannotation'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='thread',
+            name='total_cost',
+            field=models.FloatField(default=0.0),
+        ),
+        migrations.AddField(
+            model_name='thread',
+            name='total_tokens',
+            field=models.IntegerField(default=0),
+        ),
+    ]
diff --git a/clx/app/migrations/0011_remove_thread_total_tokens.py b/clx/app/migrations/0011_remove_thread_total_tokens.py
new file mode 100644
index 0000000..be624bb
--- /dev/null
+++ b/clx/app/migrations/0011_remove_thread_total_tokens.py
@@ -0,0 +1,17 @@
+# Generated by Django 5.2.7 on 2026-04-07 23:01
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0010_thread_total_cost_thread_total_tokens'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='thread',
+            name='total_tokens',
+        ),
+    ]
diff --git a/clx/app/migrations/0012_message_is_compact.py b/clx/app/migrations/0012_message_is_compact.py
new file mode 100644
index 0000000..75f339c
--- /dev/null
+++ b/clx/app/migrations/0012_message_is_compact.py
@@ -0,0 +1,18 @@
+# Generated by Django 5.2.7 on 2026-04-07 23:37
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0011_remove_thread_total_tokens'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='message',
+            name='is_compact',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/clx/app/migrations/0013_prompt.py b/clx/app/migrations/0013_prompt.py
new file mode 100644
index 0000000..abbdb3a
--- /dev/null
+++ b/clx/app/migrations/0013_prompt.py
@@ -0,0 +1,31 @@
+# Generated by Django 5.2.7 on 2026-04-08 12:33
+
+import django.db.models.deletion
+import django.utils.timezone
+import django_shortuuid.fields
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0012_message_is_compact'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='Prompt',
+            fields=[
+                ('id', django_shortuuid.fields.ShortUUIDField(alphabet=None, blank=True, collision_check=True, editable=False, length=22, max_length=22, max_retries=10, prefix='', primary_key=True, serialize=False, unique=True)),
+                ('created_at', models.DateTimeField(auto_now_add=True)),
+                ('updated_at', models.DateTimeField(default=django.utils.timezone.now)),
+                ('prompt_id', models.CharField(max_length=255)),
+                ('name', models.CharField(max_length=255)),
+                ('content', models.TextField(blank=True, default='')),
+                ('project', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='prompts', to='app.project')),
+            ],
+            options={
+                'constraints': [models.UniqueConstraint(fields=('project', 'prompt_id'), name='prompt_project_promptid_uniq')],
+            },
+        ),
+    ]
diff --git a/clx/app/migrations/0014_prompt_built_in.py b/clx/app/migrations/0014_prompt_built_in.py
new file mode 100644
index 0000000..fb8fb56
--- /dev/null
+++ b/clx/app/migrations/0014_prompt_built_in.py
@@ -0,0 +1,18 @@
+# Generated by Django 5.2.7 on 2026-04-08 13:37
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0013_prompt'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='prompt',
+            name='built_in',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/clx/app/migrations/0015_task.py b/clx/app/migrations/0015_task.py
new file mode 100644
index 0000000..3a946e3
--- /dev/null
+++ b/clx/app/migrations/0015_task.py
@@ -0,0 +1,31 @@
+# Generated by Django 5.2.7 on 2026-04-08 15:54
+
+import django.db.models.deletion
+import django.utils.timezone
+import django_shortuuid.fields
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0014_prompt_built_in'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='Task',
+            fields=[
+                ('id', django_shortuuid.fields.ShortUUIDField(alphabet=None, blank=True, collision_check=True, editable=False, length=22, max_length=22, max_retries=10, prefix='', primary_key=True, serialize=False, unique=True)),
+                ('created_at', models.DateTimeField(auto_now_add=True)),
+                ('updated_at', models.DateTimeField(default=django.utils.timezone.now)),
+                ('prompt_id', models.CharField(max_length=255)),
+                ('status', models.CharField(choices=[('pending', 'Pending'), ('in_progress', 'In Progress')], default='pending', max_length=20)),
+                ('label', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='tasks', to='app.label')),
+                ('project', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='tasks', to='app.project')),
+            ],
+            options={
+                'constraints': [models.UniqueConstraint(fields=('project', 'prompt_id', 'label'), name='task_project_prompt_label_uniq')],
+            },
+        ),
+    ]
diff --git a/clx/app/migrations/0016_label_autopilot_thread.py b/clx/app/migrations/0016_label_autopilot_thread.py
new file mode 100644
index 0000000..b38b264
--- /dev/null
+++ b/clx/app/migrations/0016_label_autopilot_thread.py
@@ -0,0 +1,19 @@
+# Generated by Django 5.2.7 on 2026-04-08 15:59
+
+import django.db.models.deletion
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0015_task'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='label',
+            name='autopilot_thread',
+            field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='app.thread'),
+        ),
+    ]
diff --git a/clx/app/migrations/0017_project_autopilot_enabled.py b/clx/app/migrations/0017_project_autopilot_enabled.py
new file mode 100644
index 0000000..0badb2c
--- /dev/null
+++ b/clx/app/migrations/0017_project_autopilot_enabled.py
@@ -0,0 +1,18 @@
+# Generated by Django 5.2.7 on 2026-04-08 16:02
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0016_label_autopilot_thread'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='project',
+            name='autopilot_enabled',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/clx/app/migrations/0018_thread_autopilot_locked_alter_task_status.py b/clx/app/migrations/0018_thread_autopilot_locked_alter_task_status.py
new file mode 100644
index 0000000..c62c046
--- /dev/null
+++ b/clx/app/migrations/0018_thread_autopilot_locked_alter_task_status.py
@@ -0,0 +1,23 @@
+# Generated by Django 5.2.7 on 2026-04-08 16:44
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0017_project_autopilot_enabled'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='thread',
+            name='autopilot_locked',
+            field=models.BooleanField(default=False),
+        ),
+        migrations.AlterField(
+            model_name='task',
+            name='status',
+            field=models.CharField(choices=[('pending', 'Pending'), ('in_progress', 'In Progress'), ('awaiting_input', 'Awaiting Input')], default='pending', max_length=20),
+        ),
+    ]
diff --git a/clx/app/migrations/0019_message_hidden.py b/clx/app/migrations/0019_message_hidden.py
new file mode 100644
index 0000000..20b143f
--- /dev/null
+++ b/clx/app/migrations/0019_message_hidden.py
@@ -0,0 +1,18 @@
+# Generated by Django 5.2.7 on 2026-04-08 22:15
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0018_thread_autopilot_locked_alter_task_status'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='message',
+            name='hidden',
+            field=models.BooleanField(default=False),
+        ),
+    ]
diff --git a/clx/app/migrations/0020_label_finetune_id_label_finetune_status_and_more.py b/clx/app/migrations/0020_label_finetune_id_label_finetune_status_and_more.py
new file mode 100644
index 0000000..3dcb61a
--- /dev/null
+++ b/clx/app/migrations/0020_label_finetune_id_label_finetune_status_and_more.py
@@ -0,0 +1,33 @@
+# Generated by Django 5.2.7 on 2026-04-09 17:54
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0019_message_hidden'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='label',
+            name='finetune_id',
+            field=models.CharField(blank=True, default='', max_length=255),
+        ),
+        migrations.AddField(
+            model_name='label',
+            name='finetune_status',
+            field=models.CharField(blank=True, default='', max_length=20),
+        ),
+        migrations.AddField(
+            model_name='label',
+            name='finetune_training_args',
+            field=models.JSONField(blank=True, default=dict),
+        ),
+        migrations.AddField(
+            model_name='label',
+            name='finetuned_at',
+            field=models.DateTimeField(blank=True, null=True),
+        ),
+    ]
diff --git a/clx/app/migrations/0021_label_predicted_at_labeldocument_prediction_and_more.py b/clx/app/migrations/0021_label_predicted_at_labeldocument_prediction_and_more.py
new file mode 100644
index 0000000..d48cfa5
--- /dev/null
+++ b/clx/app/migrations/0021_label_predicted_at_labeldocument_prediction_and_more.py
@@ -0,0 +1,28 @@
+# Generated by Django 5.2.7 on 2026-04-09 18:31
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0020_label_finetune_id_label_finetune_status_and_more'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='label',
+            name='predicted_at',
+            field=models.DateTimeField(blank=True, null=True),
+        ),
+        migrations.AddField(
+            model_name='labeldocument',
+            name='prediction',
+            field=models.CharField(blank=True, choices=[('yes', 'yes'), ('no', 'no')], default='', max_length=3),
+        ),
+        migrations.AddField(
+            model_name='labeldocument',
+            name='prediction_confidence',
+            field=models.FloatField(blank=True, null=True),
+        ),
+    ]
diff --git a/clx/app/migrations/0022_label_prediction_stats.py b/clx/app/migrations/0022_label_prediction_stats.py
new file mode 100644
index 0000000..ab919d5
--- /dev/null
+++ b/clx/app/migrations/0022_label_prediction_stats.py
@@ -0,0 +1,18 @@
+# Generated by Django 5.2.7 on 2026-04-09 18:33
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app', '0021_label_predicted_at_labeldocument_prediction_and_more'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='label',
+            name='prediction_stats',
+            field=models.JSONField(blank=True, default=dict),
+        ),
+    ]
diff --git a/clx/app/models.py b/clx/app/models.py
index 5eefa1e..a314c6e 100644
--- a/clx/app/models.py
+++ b/clx/app/models.py
@@ -1,1060 +1,721 @@
-import time
-from concurrent.futures import ThreadPoolExecutor, as_completed
+import json
+import random
+from datetime import UTC, datetime
+from io import StringIO
+from pathlib import Path
 
-import lmdb
-import numpy as np
 import pandas as pd
-import simplejson as json
-from django.apps import apps
+from django.conf import settings as django_settings
+from django.contrib.postgres.indexes import GinIndex
 from django.db import models
 from django.utils import timezone
+from django_shortuuid.fields import ShortUUIDField
+from shortuuid import uuid
 from tqdm import tqdm
 
-from clx import label2slug
-from clx.llm import batch_embed, mesh_sort
-from clx.llm.anno_agent import AnnoAgent
-from clx.ml import pipeline, training_run
 from clx.settings import CLX_HOME
-from clx.utils import pd_save_or_append
+from clx.utils import generate_hash, pd_save_or_append
 
-from .custom_heuristics import custom_heuristics
-from .search_utils import BaseModel, SearchDocumentModel
+from .search import SearchManager
 
 
-class Project(BaseModel):
-    """Model for projects."""
-
-    id = models.CharField(max_length=255, primary_key=True)
-    name = models.CharField(max_length=255)
-    model_name = models.CharField(max_length=255, unique=True)
-    tags_model_name = models.CharField(max_length=255, null=True, blank=True)
-    instructions = models.TextField(null=True, blank=True)
-
-    @property
-    def data_dir(self):
-        return CLX_HOME / "app_projects" / self.id
-
-    @property
-    def cached_documents_path(self):
-        return self.data_dir / "docs.csv"
+class Base(models.Model):
+    """Abstract base model for all CLX models."""
 
-    @property
-    def cached_embeddings_path(self):
-        return self.data_dir / "embeddings.lmdb"
-
-    def load_or_add_embeddings(self, data):
-        assert all(x in data.columns for x in ["text_hash", "text"])
-        db = lmdb.open(str(self.cached_embeddings_path), map_size=1024**4)
-        with db.begin() as c:
-            data["embedding"] = data["text_hash"].apply(
-                lambda x: c.get(x.encode("utf-8"))
-            )
-            data["embedding"] = data["embedding"].apply(
-                lambda x: json.loads(x) if x is not None else None
-            )
-        needs_embeddings = data[data["embedding"].isna()]
-        data = data[data["embedding"].notna()]
-        needs_embeddings["embedding"] = batch_embed(
-            needs_embeddings["text"].tolist(),
-            num_workers=16,
-            dimensions=96,
-        )
-        with db.begin(write=True) as c:
-            for row in needs_embeddings.to_dict("records"):
-                c.put(
-                    row["text_hash"].encode("utf-8"),
-                    json.dumps(row["embedding"]).encode("utf-8"),
-                )
-        data = pd.concat([data, needs_embeddings])
-        return data
+    id = ShortUUIDField(primary_key=True, editable=False)
+    created_at = models.DateTimeField(auto_now_add=True)
+    updated_at = models.DateTimeField(default=timezone.now)
 
-    @property
-    def cached_documents(self):
-        return pd.read_csv(self.cached_documents_path)
+    objects = SearchManager()
 
-    def get_search_model(self):
-        """Get the search model class for the project."""
-        return apps.get_model("app", self.model_name)
+    class Meta:
+        abstract = True
 
-    def get_tags_model(self):
-        """Get the tags model class for the project."""
-        return apps.get_model("app", self.tags_model_name)
+    def save(self, *args, **kwargs):
+        self.updated_at = timezone.now()
+        super().save(*args, **kwargs)
 
 
-class Label(BaseModel):
-    """Model for labels."""
+class Project(Base):
+    """Model for projects."""
 
-    project = models.ForeignKey(
-        Project, on_delete=models.CASCADE, related_name="labels"
-    )
     name = models.CharField(max_length=255)
-    instructions = models.TextField(null=True, blank=True)
-
-    # Sample counts
-    num_excluded = models.IntegerField(default=0)
-    num_neutral = models.IntegerField(default=0)
-    num_likely = models.IntegerField(default=0)
-
-    # Trainset config
-    trainset_num_excluded = models.IntegerField(default=50)
-    trainset_num_neutral = models.IntegerField(default=50)
-    trainset_num_likely = models.IntegerField(default=50)
-    trainset_num_decision_neighbors = models.IntegerField(default=20)
-    trainset_updated_at = models.DateTimeField(null=True, blank=True)
-    trainset_predictions_updated_at = models.DateTimeField(
-        null=True, blank=True
+    instructions = models.TextField(blank=True, default="")
+    autopilot_enabled = models.BooleanField(default=False)
+    active_label = models.ForeignKey(
+        "Label",
+        on_delete=models.SET_NULL,
+        null=True,
+        blank=True,
+        related_name="+",
     )
-    trainset_num_positive_preds = models.IntegerField(default=0)
-    trainset_num_negative_preds = models.IntegerField(default=0)
-
-    @property
-    def data_dir(self):
-        return self.project.data_dir / "labels" / f"{label2slug(self.name)}"
-
-    def excluded_query(self, queryset=None):
-        if queryset is None:
-            queryset = self.project.get_search_model().objects
-        tags = LabelTag.objects.filter(label=self, heuristic__is_minimal=True)
-        tag_ids = tags.values_list("id", flat=True)
-        if not tag_ids:
-            return queryset.none()
-        return queryset.tags(not_any=tag_ids)
-
-    def neutral_query(self, queryset=None):
-        if queryset is None:
-            queryset = self.project.get_search_model().objects
-        minimal_tags = LabelTag.objects.filter(
-            label=self, heuristic__is_minimal=True
-        )
-        minimal_tag_ids = minimal_tags.values_list("id", flat=True)
-        likely_tags = LabelTag.objects.filter(
-            label=self, heuristic__is_likely=True
-        )
-        likely_tag_ids = likely_tags.values_list("id", flat=True)
-        return queryset.tags(any=minimal_tag_ids, not_any=likely_tag_ids)
-
-    def likely_query(self, queryset=None):
-        if queryset is None:
-            queryset = self.project.get_search_model().objects
-        minimal_tags = LabelTag.objects.filter(
-            label=self, heuristic__is_minimal=True
-        )
-        minimal_tag_ids = minimal_tags.values_list("id", flat=True)
-        likely_tags = LabelTag.objects.filter(
-            label=self, heuristic__is_likely=True
-        )
-        likely_tag_ids = likely_tags.values_list("id", flat=True)
-        if not likely_tag_ids:
-            return queryset.none()
-        return queryset.tags(any=minimal_tag_ids).tags(any=likely_tag_ids)
-
-    def get_minimal_fn(self):
-        minimal_fns = [
-            x.heuristic.get_apply_fn()
-            for x in LabelTag.objects.filter(
-                label=self, heuristic__is_minimal=True
-            )
-        ]
-
-        def minimal_fn(text):
-            return any(f(text) for f in minimal_fns)
 
-        return minimal_fn
+    def add_docs(self, docs, **kwargs):
+        """Bulk-insert documents using django-postgres-copy.
 
-    def get_likely_fn(self):
-        likely_fns = [
-            x.heuristic.get_apply_fn()
-            for x in LabelTag.objects.filter(
-                label=self, heuristic__is_likely=True
-            )
-        ]
+        Args:
+            docs: Either a DataFrame with a 'text' column, a list of strings
+                  (text only), or a list of dicts with 'text' and optionally
+                  'meta' keys.
+        """
+        if docs is None:
+            return
 
-        def likely_fn(text):
-            return any(f(text) for f in likely_fns)
-
-        return likely_fn
-
-    def update_counts(self):
-        self.num_excluded = self.excluded_query().count()
-        self.num_likely = self.likely_query().count()
-        self.num_neutral = self.neutral_query().count()
-        self.save()
-
-    def update_trainset(self):
-        data = self.load_trainset()
-        model = self.project.get_search_model()
-
-        # Reset predictions for existing anno disagreements
-        needs_corrections = data[
-            data["anno_value"].notna()
-            & data["pred"].notna()
-            & (data["anno_value"] != data["pred"])
-        ]["text_hash"].tolist()
-        if len(needs_corrections):
-            LabelTrainsetExample.objects.filter(
-                label=self, text_hash__in=needs_corrections
-            ).update(pred=None, reason=None)
-
-        new_ids = []
-
-        # Sample decision neighbors
-        model = self.project.get_search_model()
-        for decision in self.decisions.all():
-            if not decision.added_to_sample:
-                embedding = (
-                    model.objects.filter(text_hash=decision.text_hash)
-                    .first()
-                    .embedding.to_list()
-                )
-                decision_examples = model.objects.search(
-                    semantic_sort=embedding,
-                    page_size=self.trainset_num_decision_neighbors,
+        # Normalize input
+        if isinstance(docs, pd.DataFrame):
+            if docs.empty:
+                return
+            if "text" not in docs.columns:
+                raise ValueError(
+                    "DataFrame input must include a 'text' column"
                 )
-                new_ids += [x["id"] for x in decision_examples["data"]]
-                decision.save(added_to_sample=True)
-
-        # Sample on querystring samplers
-        for querystring in self.querystrings.all():
-            if not querystring.added_to_sample:
-                querystring_examples = model.objects.search(
-                    params={"querystring": querystring.querystring},
-                    page_size=querystring.num_examples,
-                    sort=["shuffle_sort", "id"],
-                )
-                new_ids += [x["id"] for x in querystring_examples["data"]]
-                querystring.save(added_to_sample=True)
-
-        # Mesh sort helper
-        def apply_mesh_sort(queryset, n_examples):
-            """Select 10x the number of examples and take most diverse 10%"""
-            cluster_ks = [10, 10]
-            data = queryset.order_by("?").values("id", "embedding")
-            data = pd.DataFrame(data[: n_examples * 10])
-            data["embedding"] = data["embedding"].apply(lambda x: x.to_list())
-            data["sort"] = mesh_sort(
-                np.array(data["embedding"].tolist()), cluster_ks
-            )
-            data = data.sort_values(by="sort").head(n_examples)
-            return data["id"].tolist()
 
-        # Sample from heuristic buckets
-        num_excluded = self.trainset_num_excluded - len(
-            data[data["bucket"] == "excluded"]
-        )
-        num_neutral = self.trainset_num_neutral - len(
-            data[data["bucket"] == "neutral"]
-        )
-        num_likely = self.trainset_num_likely - len(
-            data[data["bucket"] == "likely"]
-        )
+            meta_columns = [col for col in docs.columns if col != "text"]
+            docs = [
+                {
+                    "text": row["text"],
+                    "meta": {
+                        key: value
+                        for key, value in row[meta_columns].items()
+                        if pd.notna(value)
+                    },
+                }
+                for _, row in docs.iterrows()
+            ]
+        elif not docs:
+            return
+        elif isinstance(docs[0], str):
+            docs = [{"text": t, "meta": {}} for t in docs]
+        else:
+            docs = [
+                {"text": d["text"], "meta": d.get("meta", {})} for d in docs
+            ]
 
-        if num_excluded > 0:
-            new_ids += apply_mesh_sort(self.excluded_query(), num_excluded)
-        if num_neutral > 0:
-            new_ids += apply_mesh_sort(self.neutral_query(), num_neutral)
-        if num_likely > 0:
-            new_ids += apply_mesh_sort(self.likely_query(), num_likely)
-
-        # Get new examples
-        cols = ["text", "text_hash"]
-        new_examples = pd.DataFrame(
-            model.objects.filter(id__in=new_ids).values(*cols),
-            columns=cols,
-        )
-        new_examples = new_examples[
-            ~new_examples["text_hash"].isin(data["text_hash"])
+        # Build DataFrame
+        data = pd.DataFrame(docs)
+        data = data.dropna(subset=["text"])
+        if len(data) == 0:
+            return
+        data["id"] = [uuid() for _ in range(len(data))]
+        data["text_prefix"] = data["text"].str[:50]
+        data["text_hash"] = data["text"].apply(generate_hash)
+        data["shuffle_key"] = [
+            random.randint(0, 1_000_000) for _ in range(len(data))
         ]
-        new_examples = new_examples.drop_duplicates(subset="text_hash")
-        new_examples = new_examples.sample(frac=1)
-
-        # Make train/eval split
-        split = int(len(new_examples) * 0.8)
-        train_examples = new_examples.head(split)
-        train_examples["split"] = "train"
-        eval_examples = new_examples.tail(len(new_examples) - split)
-        eval_examples["split"] = "eval"
-        new_examples = pd.concat([train_examples, eval_examples])
-
-        new_examples = pd.concat([train_examples, eval_examples])
-
-        # Add to trainset
-        rows = new_examples.to_dict("records")
-        LabelTrainsetExample.objects.bulk_create(
-            [LabelTrainsetExample(label_id=self.id, **row) for row in rows],
-            batch_size=1000,
-        )
-        self.sync_trainset_tags()
-        self.update_trainset_pred_counts()
-        self.trainset_updated_at = timezone.now()
-        self.save()
-
-    def reset_trainset(self):
-        self.trainset_examples.all().delete()
-        self.decisions.all().update(added_to_sample=False)
-        self.querystrings.all().update(added_to_sample=False)
-        self.sync_trainset_tags()
-        self.update_trainset_pred_counts()
-        self.trainset_updated_at = None
-        self.trainset_predictions_updated_at = None
-        self.save()
-
-    def load_annos(self):
-        project = self.project
-        search_model = project.get_search_model()
-
-        pos_annos = search_model.objects.tags(
-            any=[self.anno_true_tag.id]
-        ).values("text_hash", "text")
-        pos_annos = pd.DataFrame(pos_annos)
-        pos_annos["value"] = True
-
-        neg_annos = search_model.objects.tags(
-            any=[self.anno_false_tag.id]
-        ).values("text_hash", "text")
-        neg_annos = pd.DataFrame(neg_annos)
-        neg_annos["value"] = False
-
-        flag_annos = search_model.objects.tags(
-            any=[self.anno_flag_tag.id]
-        ).values("text_hash", "text")
-        flag_annos = pd.DataFrame(flag_annos)
-        flag_annos["value"] = None
-
-        annos = pd.concat([pos_annos, neg_annos, flag_annos])
-        if annos.empty:
-            return pd.DataFrame(columns=["text_hash", "text", "value"])
-        return annos
-
-    def load_trainset(self):
-        trainset_hashes = list(
-            self.trainset_examples.values_list("text_hash", flat=True)
+        data["meta"] = data["meta"].apply(json.dumps)
+
+        # Write to CSV buffer
+        f = StringIO()
+        data.to_csv(f, index=False)
+        f.seek(0)
+
+        # Bulk insert
+        print("Pushing documents to database...")
+        Document.objects.from_csv(
+            f,
+            static_mapping={
+                "project_id": str(self.id),
+                "created_at": timezone.now(),
+                "updated_at": timezone.now(),
+            },
+            ignore_conflicts=True,
+            **kwargs,
         )
-        annos = self.load_annos()
-
-        missing_annos = annos[~annos["text_hash"].isin(trainset_hashes)]
-        missing_annos = missing_annos.drop_duplicates(subset="text_hash")
-        if len(missing_annos):
-            updates = [
-                LabelTrainsetExample(
-                    label_id=self.id,
-                    text_hash=row["text_hash"],
-                    text=row["text"],
-                    split="train",
-                )
-                for row in missing_annos.to_dict("records")
-            ]
-            LabelTrainsetExample.objects.bulk_create(updates, batch_size=1000)
 
-        cols = ["text_hash", "text", "split", "pred", "reason"]
-        data = pd.DataFrame(
-            self.trainset_examples.all().values(*cols),
-            columns=cols,
-        )
+    @property
+    def project_dir(self):
+        """Return the project directory path."""
+        return Path(CLX_HOME) / "projects" / str(self.id)
 
-        flagged_hashes = annos[annos["value"].isna()]["text_hash"].tolist()
-        annos = annos[~annos["value"].isna()]
-        annos = annos[["text_hash", "value"]].rename(
-            columns={"value": "anno_value"}
-        )
-        data = data.merge(annos, on="text_hash", how="left")
-
-        data["value"] = data["anno_value"].fillna(data["pred"])
-        data.loc[data["text_hash"].isin(flagged_hashes), "value"] = None
-
-        data = data.sample(frac=1, random_state=42)
-        data = data.reset_index(drop=True)
-
-        minimal_fn = self.get_minimal_fn()
-        likely_fn = self.get_likely_fn()
-        data["bucket"] = data["text"].apply(
-            lambda x: "excluded"
-            if not minimal_fn(x)
-            else "likely"
-            if likely_fn(x)
-            else "neutral"
-        )
-        return data
-
-    def update_trainset_preds(self, num_threads=32):
-        data = self.load_trainset()
-        data = data[data["pred"].isna()]
-        texts = data["text"].tolist()
-        preds = self.batch_predict(texts, num_threads=num_threads)
-        data["pred"] = [x.get("value") for x in preds]
-        data["reason"] = [x.get("reason") for x in preds]
-        examples = self.trainset_examples.all()
-        examples = {e.text_hash: e for e in examples}
-        updates = []
-        for row in data.to_dict("records"):
-            if row["text_hash"] in examples:
-                example = examples[row["text_hash"]]
-                example.pred = row["pred"]
-                example.reason = row["reason"]
-                updates.append(example)
-        LabelTrainsetExample.objects.bulk_update(
-            updates,
-            fields=["pred", "reason"],
-            batch_size=1000,
-        )
-        self.update_trainset_pred_counts()
-        self.sync_trainset_pred_tags()
-        self.trainset_predictions_updated_at = timezone.now()
-        self.save()
-
-    def update_trainset_pred_counts(self):
-        data = self.load_trainset()
-        if len(data) and "pred" in data.columns:
-            data = data.dropna(subset=["pred"])
-            preds = data["pred"].astype(bool)
-            self.trainset_num_positive_preds = preds.sum()
-            self.trainset_num_negative_preds = (~preds).sum()
-        else:
-            self.trainset_num_positive_preds = 0
-            self.trainset_num_negative_preds = 0
-        self.save()
-
-    def load_predictor(self):
-        args = {
-            "label_name": self.name,
-            "project_instructions": self.project.instructions,
-            "label_instructions": self.instructions,
-            "decisions": self.decisions.values("text", "value", "reason"),
-        }
+    def export_data(self, batch_size=100_000):
+        """Export documents to docs.csv in the project directory.
 
-        def predict_fn(text: str):
-            for _ in range(3):
-                try:
-                    agent = AnnoAgent(**args)
-                    anno = agent(text)
-                    return {
-                        "status": "success",
-                        "value": anno.value,
-                        "reason": anno.reason,
-                    }
-                except Exception as e:
-                    print(f"Error predicting {text}: {e}")
-                    time.sleep(5)
-            return {"status": "error"}
-
-        return predict_fn
-
-    def batch_predict(self, texts: list[str], num_threads: int = 32):
-        predictor = self.load_predictor()
-        with ThreadPoolExecutor(max_workers=num_threads) as executor:
-            futures = [executor.submit(predictor, text) for text in texts]
-            for _ in tqdm(
-                as_completed(futures), total=len(futures), desc="Predicting"
-            ):
+        Only exports documents created since the last export.
+        """
+        self.project_dir.mkdir(parents=True, exist_ok=True)
+        docs_path = self.project_dir / "docs.csv"
+        exported_path = self.project_dir / "exported.txt"
+
+        # Check last export time.
+        last_export = None
+        if exported_path.exists():
+            try:
+                last_export = datetime.fromisoformat(
+                    exported_path.read_text().strip()
+                )
+            except (ValueError, OSError):
                 pass
-            return [future.result() for future in futures]
 
-    @property
-    def trainset_train_tag(self):
-        tag, _ = LabelTag.objects.get_or_create(
-            name="trainset:train",
-            label=self,
-        )
-        return tag
+        qs = self.documents.order_by("created_at")
+        if last_export:
+            qs = qs.filter(created_at__gt=last_export)
 
-    @property
-    def trainset_eval_tag(self):
-        tag, _ = LabelTag.objects.get_or_create(
-            name="trainset:eval",
-            label=self,
-        )
-        return tag
+        total = qs.count()
+        if total == 0:
+            return
 
-    @property
-    def trainset_pred_tag(self):
-        tag, _ = LabelTag.objects.get_or_create(
-            name="trainset:pred",
-            label=self,
-        )
-        return tag
+        try:
+            for offset in tqdm(
+                range(0, total, batch_size),
+                desc="Exporting docs",
+                total=(total + batch_size - 1) // batch_size,
+            ):
+                batch = qs.values_list("id", "text")[
+                    offset : offset + batch_size
+                ]
+                data = pd.DataFrame(
+                    list(batch), columns=["document_id", "text"]
+                )
+                pd_save_or_append(data, docs_path)
+        except BaseException:
+            docs_path.unlink(missing_ok=True)
+            exported_path.unlink(missing_ok=True)
+            raise
+
+        now = datetime.now(UTC).isoformat()
+        exported_path.write_text(now)
+
+    def update_tasks(self):
+        """Sync tasks based on current project/label state.
+
+        Rules:
+        - No project instructions → project_understanding task (no label)
+        - Has project instructions but label lacks instructions → label_understanding per label
+        - Both have instructions but label has no training examples → sampling_strategy per label
+        - Label has unannotated training examples → annotate per label
+        """
+        from django.db.models import Count, Q
 
-    def get_trainset_finetune_tag(self, config_name):
-        tag, _ = LabelTag.objects.get_or_create(
-            name=f"trainset:ft:{config_name}",
-            label=self,
-        )
-        return tag
+        expected = []  # list of (prompt_id, label_id | None)
 
-    @property
-    def finetune_tag(self):
-        tag, _ = LabelTag.objects.get_or_create(
-            name="ft",
-            label=self,
-        )
-        return tag
+        if not self.instructions.strip():
+            expected.append(("project_understanding", None))
+        else:
+            labels = list(self.labels.all())
+            for label in labels:
+                if not label.instructions.strip():
+                    expected.append(("label_understanding", label.id))
+                else:
+                    ld_stats = LabelDocument.objects.filter(
+                        label=label
+                    ).aggregate(
+                        total=Count("id"),
+                        annotated=Count(
+                            "id",
+                            filter=Q(annotations__source="agent"),
+                        ),
+                    )
+                    if ld_stats["total"] == 0:
+                        expected.append(("sampling_strategy", label.id))
+                    elif ld_stats["annotated"] < ld_stats["total"]:
+                        expected.append(("annotate", label.id))
+
+        expected_set = set(expected)
+        existing = {(t.prompt_id, t.label_id): t for t in self.tasks.all()}
+
+        # Delete tasks no longer expected (keep in-progress and awaiting-input)
+        keep_statuses = (Task.Status.IN_PROGRESS, Task.Status.AWAITING_INPUT)
+        to_delete = [
+            t.id
+            for key, t in existing.items()
+            if key not in expected_set and t.status not in keep_statuses
+        ]
+        if to_delete:
+            Task.objects.filter(id__in=to_delete).delete()
+
+        # Create missing tasks
+        to_create = [
+            Task(project=self, prompt_id=pid, label_id=lid)
+            for pid, lid in expected
+            if (pid, lid) not in existing
+        ]
+        if to_create:
+            Task.objects.bulk_create(to_create, ignore_conflicts=True)
 
-    @property
-    def anno_true_tag(self):
-        tag, _ = LabelTag.objects.get_or_create(
-            name="anno:true",
-            label=self,
-        )
-        return tag
+        return list(self.tasks.select_related("label").order_by("created_at"))
 
-    @property
-    def anno_false_tag(self):
-        tag, _ = LabelTag.objects.get_or_create(
-            name="anno:false",
-            label=self,
-        )
-        return tag
 
-    @property
-    def anno_flag_tag(self):
-        tag, _ = LabelTag.objects.get_or_create(
-            name="anno:flag",
-            label=self,
-        )
-        return tag
+class Document(Base):
+    """Model for documents within a project."""
 
-    def sync_trainset_tags(self):
-        """Sync tags for train/eval splits to match current trainset examples."""
-        model = self.project.get_search_model()
+    project = models.ForeignKey(
+        Project, on_delete=models.CASCADE, related_name="documents"
+    )
+    text = models.TextField()
+    text_prefix = models.CharField(max_length=50)
+    meta = models.JSONField(default=dict, null=True, blank=True)
+    shuffle_key = models.IntegerField()
+    text_hash = models.CharField(max_length=64)
 
-        train_hashes = list(
-            self.trainset_examples.filter(split="train").values_list(
-                "text_hash", flat=True
-            )
-        )
-        if train_hashes:
-            train_ids = list(
-                model.objects.filter(text_hash__in=train_hashes).values_list(
-                    "id", flat=True
-                )
+    class Meta:
+        constraints = [
+            models.UniqueConstraint(
+                fields=["project", "text_hash"],
+                name="document_project_text_hash_uniq",
             )
-        else:
-            train_ids = []
-        model.bulk_replace_tag(self.trainset_train_tag, train_ids)
+        ]
+        indexes = [
+            models.Index(
+                fields=["shuffle_key", "id"],
+                name="shuffle_key_idx",
+            ),
+            models.Index(
+                fields=["text_prefix"],
+                name="text_prefix_idx",
+                opclasses=["text_pattern_ops"],
+            ),
+            GinIndex(
+                fields=["text"],
+                name="text_trgm_idx",
+                opclasses=["gin_trgm_ops"],
+            ),
+        ]
 
-        eval_hashes = list(
-            self.trainset_examples.filter(split="eval").values_list(
-                "text_hash", flat=True
-            )
-        )
-        if eval_hashes:
-            eval_ids = list(
-                model.objects.filter(text_hash__in=eval_hashes).values_list(
-                    "id", flat=True
-                )
-            )
-        else:
-            eval_ids = []
-        model.bulk_replace_tag(self.trainset_eval_tag, eval_ids)
-
-    def sync_trainset_pred_tags(self):
-        """Sync tag for positive predictions to match current predicted positives."""
-        model = self.project.get_search_model()
-        pos_hashes = list(
-            self.trainset_examples.filter(pred=True).values_list(
-                "text_hash", flat=True
-            )
-        )
-        if pos_hashes:
-            pos_ids = list(
-                model.objects.filter(text_hash__in=pos_hashes).values_list(
-                    "id", flat=True
-                )
-            )
-        else:
-            pos_ids = []
-        model.bulk_replace_tag(self.trainset_pred_tag, pos_ids)
-
-    def get_finetune_run_name(self, config_name):
-        return f"{self.project_id}__{label2slug(self.name)}__{config_name}"
-
-    def get_finetune_run_pipe(self, config_name):
-        run_name = self.get_finetune_run_name(config_name)
-        model_path = f"/runpod-volume/clx/runs/{run_name}/model"
-        return pipeline(task="classification", model=model_path, remote=True)
-
-    def prepare_finetune(
-        self, config_name, batch_size=16, gradient_accumulation_steps=1
-    ):
-        model = self.project.get_search_model()
-        config = model.finetune_configs[config_name]
-        data = self.load_trainset()
-        data = data.sample(frac=1, random_state=42)
-        data = (
-            data[["text_hash", "text", "value", "split"]]
-            .rename(columns={"value": "label"})
-            .dropna()
-        )
-        data["label"] = data["label"].apply(lambda x: "yes" if x else "no")
-        train_data = data[data["split"] == "train"]
-        eval_data = data[data["split"] == "eval"]
-
-        num_train_epochs = config["training_args"].get("num_train_epochs", 1)
-        config["training_args"]["num_train_epochs"] = num_train_epochs
-        total_steps = (num_train_epochs * len(train_data)) // (
-            batch_size * gradient_accumulation_steps
-        )
-        save_steps = total_steps // 9
-        config["training_args"]["eval_strategy"] = "steps"
-        config["training_args"]["save_strategy"] = "steps"
-        config["training_args"]["eval_steps"] = save_steps
-        config["training_args"]["save_steps"] = save_steps
-        config["training_args"]["per_device_train_batch_size"] = batch_size
-        config["training_args"]["per_device_eval_batch_size"] = batch_size
-        config["training_args"]["gradient_accumulation_steps"] = (
-            gradient_accumulation_steps
-        )
 
-        run_config = {
-            "task": "classification",
-            "run_name": self.get_finetune_run_name(config_name),
-            "label_names": ["yes", "no"],
-            **config,
-        }
+class Label(Base):
+    """Model for labels within a project."""
 
-        return train_data, eval_data, run_config
+    project = models.ForeignKey(
+        Project, on_delete=models.CASCADE, related_name="labels"
+    )
+    name = models.CharField(max_length=255)
+    instructions = models.TextField(blank=True, default="")
+    autopilot_thread = models.ForeignKey(
+        "Thread",
+        on_delete=models.SET_NULL,
+        null=True,
+        blank=True,
+        related_name="+",
+    )
+    finetune_id = models.CharField(max_length=255, blank=True, default="")
+    finetune_training_args = models.JSONField(default=dict, blank=True)
+    finetuned_at = models.DateTimeField(null=True, blank=True)
+    finetune_status = models.CharField(max_length=20, blank=True, default="")
+    predicted_at = models.DateTimeField(null=True, blank=True)
+    prediction_stats = models.JSONField(default=dict, blank=True)
 
-    def train_finetune(self, config_name):
-        """Train a finetune model for this label."""
-        train_data, eval_data, run_config = self.prepare_finetune(config_name)
+    class Meta:
+        constraints = [
+            models.UniqueConstraint(
+                fields=["project", "name"],
+                name="label_project_name_uniq",
+            )
+        ]
 
-        run = training_run(**run_config)
-        outputs = run.train(train_data, eval_data, overwrite=True, remote=True)
+    def finetune(self, training_args=None):
+        """Kick off a remote finetuning job for this label."""
+        import os
+        import random
 
-        data = pd.concat([train_data, eval_data])
+        import pandas as pd
+        import requests
 
-        pipe = self.get_finetune_run_pipe(config_name)
-        data["pred"] = pipe(data["text"].tolist(), batch_size=16)
-        data = data[data["pred"] == "yes"]
+        from clx.utils import S3
 
-        tag = self.get_trainset_finetune_tag(config_name)
-        model = self.project.get_search_model()
-        example_ids = model.objects.filter(
-            text_hash__in=data["text_hash"].tolist()
+        training_args = training_args or {}
+        self.finetune_training_args = training_args
+        self.finetune_status = "pending"
+        self.save(
+            update_fields=[
+                "finetune_training_args",
+                "finetune_status",
+                "updated_at",
+            ]
         )
-        example_ids = example_ids.values_list("id", flat=True)
-        model.bulk_replace_tag(tag.id, example_ids)
 
-        finetune, _ = LabelFinetune.objects.get_or_create(
-            label=self, config_name=config_name
+        # Assemble data from annotated label documents (yes/no only).
+        # Single query: join through to document text and annotation value.
+        rows = list(
+            LabelDocument.objects.filter(
+                label=self,
+                annotations__source="agent",
+                annotations__value__in=["yes", "no"],
+            ).values_list(
+                "document__text",
+                "annotations__value",
+            )
         )
-        finetune.eval_results = outputs["results"]
-        finetune.finetuned_at = timezone.now()
-        finetune.save()
+        rows = [{"text": text, "label": value} for text, value in rows]
+
+        random.shuffle(rows)
+        df = pd.DataFrame(rows)
+        split = max(1, int(len(df) * 0.2))
+        eval_data = df.iloc[:split]
+        train_data = df.iloc[split:]
+
+        # Build training args with sensible defaults.
+        import math
+
+        from clx.ml import training_run
+
+        batch_size = training_args.get("per_device_train_batch_size", 8)
+        grad_accum = training_args.get("gradient_accumulation_steps", 1)
+        effective_batch = batch_size * grad_accum
+        steps_per_epoch = max(1, math.ceil(len(train_data) / effective_batch))
+        checkpoint_steps = max(1, steps_per_epoch // 5)
+
+        defaults = {
+            "per_device_train_batch_size": batch_size,
+            "per_device_eval_batch_size": batch_size,
+            "gradient_accumulation_steps": grad_accum,
+            "num_train_epochs": 3,
+            "eval_strategy": "steps",
+            "eval_steps": checkpoint_steps,
+            "save_steps": checkpoint_steps,
+        }
+        merged_args = {**defaults, **training_args}
 
-        return finetune
+        run = training_run(
+            task="classification",
+            run_name=str(self.id),
+            label_names=["yes", "no"],
+            training_args=merged_args,
+        )
 
-    def predict_finetune(self, batch_size=16, num_workers=64, force=False):
-        """Run finetune predictions across the entire corpus."""
-        cache_path = self.data_dir / "finetune_predictions_cache.csv"
-        self.data_dir.mkdir(parents=True, exist_ok=True)
-        config_name = self.project.get_search_model().main_finetune_config
-        if config_name is None:
-            raise ValueError("Set main_finetune_config for this project")
+        # Upload data to S3 and submit to RunPod.
+        import tempfile
+        import uuid as _uuid
+        from pathlib import Path
 
-        if force and cache_path.exists():
-            cache_path.unlink()
+        endpoint_id = os.getenv("RUNPOD_FINETUNE_ENDPOINT_ID")
+        api_key = os.getenv("RUNPOD_API_KEY")
+        if not endpoint_id or not api_key:
+            self.finetune_status = "error"
+            self.save(update_fields=["finetune_status", "updated_at"])
+            raise ValueError(
+                "RUNPOD_FINETUNE_ENDPOINT_ID and RUNPOD_API_KEY must be set"
+            )
 
-        cached_ids = set()
-        if cache_path.exists():
-            cached_data = pd.read_csv(cache_path)
-            cached_ids = set(cached_data["id"].unique().tolist())
+        s3 = S3()
+        job_key = str(_uuid.uuid4())
+        s3_prefix = f"runpod/finetune/{job_key}"
+
+        with tempfile.TemporaryDirectory() as tmpdir:
+            train_path = Path(tmpdir) / "train.csv"
+            train_data.to_csv(train_path, index=False)
+            s3.upload(train_path, f"{s3_prefix}/train.csv")
+            eval_path = Path(tmpdir) / "eval.csv"
+            eval_data.to_csv(eval_path, index=False)
+            s3.upload(eval_path, f"{s3_prefix}/eval.csv")
+
+        config = run.config
+        del config["run_dir_parent"]
+        payload = {
+            "input": {
+                "training_run": config,
+                "s3_bucket": s3.bucket,
+                "s3_prefix": s3_prefix,
+                "overwrite": True,
+            }
+        }
 
-        model = self.project.get_search_model()
-        pipe = self.get_finetune_run_pipe(config_name)
+        response = requests.post(
+            f"https://api.runpod.ai/v2/{endpoint_id}/run",
+            headers={"Authorization": f"Bearer {api_key}"},
+            json=payload,
+        )
+        response.raise_for_status()
+        job_id = response.json()["id"]
+
+        self.finetune_id = job_id
+        self.finetune_status = "in_progress"
+        self.save(
+            update_fields=[
+                "finetune_id",
+                "finetune_status",
+                "updated_at",
+            ]
+        )
+        return job_id
+
+    @property
+    def pipe(self):
+        """Remote classification pipeline for the finetuned model."""
+        from clx.ml import pipeline
 
-        minimal_heuristics = LabelHeuristic.objects.filter(
-            is_minimal=True, label=self
+        model_path = f"/runpod-volume/clx/runs/{self.id}/model"
+        return pipeline(
+            task="classification",
+            model=model_path,
+            remote=True,
         )
-        minimal_conditions = [h.get_apply_fn() for h in minimal_heuristics]
-
-        def minimal_condition_fn(text):
-            return any(condition(text) for condition in minimal_conditions)
-
-        total_examples = model.objects.count()
-        outer_batch_size = 1024 * 500
-        for batch in tqdm(
-            model.objects.batch_df("id", "text", batch_size=outer_batch_size),
-            desc=f"Predicting {config_name}",
-            total=total_examples // outer_batch_size,
-        ):
-            batch = batch[~batch["id"].isin(cached_ids)]
-            batch = batch[batch["text"].apply(minimal_condition_fn)]
-            if len(batch) > 0:
-                batch["value"] = pipe(
-                    batch["text"].tolist(),
-                    batch_size=batch_size,
-                    num_workers=num_workers,
-                    max_length=768,
-                    truncation=True,
-                )
-                batch["value"] = batch["value"].apply(lambda x: x == "yes")
-                pd_save_or_append(batch[["id", "value"]], cache_path)
-
-        if cache_path.exists():
-            all_preds = pd.read_csv(cache_path)
-            positive_ids = all_preds[all_preds["value"]]["id"].tolist()
-            tag = self.finetune_tag
-            model.bulk_replace_tag(tag.id, positive_ids)
-            finetune = self.fintunes.filter(config_name=config_name).first()
-            if finetune:
-                finetune.predicted_at = timezone.now()
-                finetune.save()
-            cache_path.unlink()
-
-            print(
-                f"Predictions complete: {len(positive_ids):,} positive out of {len(all_preds):,} total"
-            )
 
-    def update_all(self, num_threads=128, predict=False, force=False):
-        """Update all components that are out of date based on timestamps.
+    def predict(self):
+        """Run predictions across all label documents using the finetuned model."""
+        from django.utils import timezone
 
-        Runs the full pipeline in order, but only steps that need updating:
-        1. Resample trainset (if decisions newer than trainset)
-        2. Run predictions (if trainset newer than predictions)
-        3. Train finetunes (if predictions newer than finetunes)
-        4. Run global corpus predictions (if predict is True and finetune newer than global predictions)
-        """
-        missing = []
-        if not self.heuristics.filter(is_minimal=True).exists():
-            missing.append("at least one minimal heuristic")
-        if not self.heuristics.filter(is_likely=True).exists():
-            missing.append("at least one likely heuristic")
-        if not self.decisions.filter(value=True).exists():
-            missing.append("at least one positive decision")
-        if not self.decisions.filter(value=False).exists():
-            missing.append("at least one negative decision")
-
-        if missing:
-            print("Cannot run update_all - missing required setup:")
-            for item in missing:
-                print(f"  - {item}")
-            return
+        if self.finetune_status != "completed":
+            raise ValueError("No completed finetune available.")
 
-        model = self.project.get_search_model()
-        finetune_configs = list(model.finetune_configs.keys())
+        ld_qs = LabelDocument.objects.filter(label=self).select_related(
+            "document"
+        )
+        ld_list = list(ld_qs.values_list("id", "document__text"))
+        if not ld_list:
+            return
 
-        # Get latest decision timestamp
-        latest_decision = self.decisions.order_by("-updated_at").first()
-        latest_decision_at = (
-            latest_decision.updated_at if latest_decision else None
+        ld_ids = [row[0] for row in ld_list]
+        texts = [row[1] for row in ld_list]
+
+        results = self.pipe.predict(texts, batch_size=16, return_scores=True)
+
+        # Build predictions map.
+        predictions = {}
+        for ld_id, scores in zip(ld_ids, results):
+            yes_score = scores.get("yes", 0)
+            no_score = scores.get("no", 0)
+            pred = "yes" if yes_score >= no_score else "no"
+            top_score = max(yes_score, no_score)
+            confidence = abs(top_score - 0.5) * 2
+            predictions[ld_id] = (pred, confidence)
+
+        # Bulk update predictions.
+        ld_objs = []
+        for ld_id, (pred, confidence) in predictions.items():
+            obj = LabelDocument(id=ld_id)
+            obj.prediction = pred
+            obj.prediction_confidence = confidence
+            ld_objs.append(obj)
+
+        LabelDocument.objects.bulk_update(
+            ld_objs,
+            ["prediction", "prediction_confidence"],
+            batch_size=1000,
         )
 
-        # Step 1: Resample trainset if decisions are newer
-        if force or (
-            latest_decision_at
-            and (
-                not self.trainset_updated_at
-                or latest_decision_at > self.trainset_updated_at
+        # Compute F1 and accuracy on annotated examples (yes/no only).
+        annotated = dict(
+            ClassificationAnnotation.objects.filter(
+                label_document_id__in=ld_ids,
+                source="agent",
+                value__in=["yes", "no"],
+            ).values_list("label_document_id", "value")
+        )
+
+        if annotated:
+            tp = fp = fn = correct = 0
+            total = len(annotated)
+            for ld_id, true_val in annotated.items():
+                pred_val = predictions[ld_id][0]
+                if pred_val == true_val:
+                    correct += 1
+                if pred_val == "yes" and true_val == "yes":
+                    tp += 1
+                elif pred_val == "yes" and true_val == "no":
+                    fp += 1
+                elif pred_val == "no" and true_val == "yes":
+                    fn += 1
+
+            precision = tp / (tp + fp) if (tp + fp) > 0 else 0
+            recall = tp / (tp + fn) if (tp + fn) > 0 else 0
+            f1 = (
+                2 * precision * recall / (precision + recall)
+                if (precision + recall) > 0
+                else 0
             )
-        ):
-            print("Step 1: Resampling trainset")
-            self.update_trainset()
-            self.refresh_from_db()
-
-        # Step 2: Run predictions if trainset is newer
-        if force or (
-            self.trainset_updated_at
-            and (
-                not self.trainset_predictions_updated_at
-                or self.trainset_updated_at
-                > self.trainset_predictions_updated_at
+            self.prediction_stats = {
+                "f1": round(f1, 4),
+                "accuracy": round(correct / total, 4),
+                "precision": round(precision, 4),
+                "recall": round(recall, 4),
+                "total": total,
+            }
+        else:
+            self.prediction_stats = {}
+
+        self.predicted_at = timezone.now()
+        self.save(
+            update_fields=[
+                "predicted_at",
+                "prediction_stats",
+                "updated_at",
+            ]
+        )
+
+    def recalculate_prediction_stats(self):
+        """Recompute F1/accuracy from existing predictions vs annotations."""
+        ld_data = list(
+            LabelDocument.objects.filter(
+                label=self,
             )
-        ):
-            print("Step 2: Running predictions")
-            self.update_trainset_preds(num_threads=num_threads)
-            self.refresh_from_db()
-
-        # Step 3: Train finetunes if predictions are newer
-        for config_name in finetune_configs:
-            finetune = self.fintunes.filter(config_name=config_name).first()
-            finetuned_at = finetune.finetuned_at if finetune else None
-
-            if force or (
-                self.trainset_predictions_updated_at
-                and (
-                    not finetuned_at
-                    or self.trainset_predictions_updated_at > finetuned_at
-                )
-            ):
-                print(f"Step 3: Training finetune: {config_name}")
-                self.train_finetune(config_name)
-
-        # Step 4: Run global corpus predictions if finetune is newer
-        if predict:
-            ft = self.fintunes.filter(
-                config_name=self.project.get_search_model().main_finetune_config
-            ).first()
-            if ft and (
-                force
-                or (
-                    ft.finetuned_at
-                    and (
-                        not ft.predicted_at
-                        or ft.finetuned_at > ft.predicted_at
-                    )
-                )
-            ):
-                print("Step 4: Running global predictions")
-                self.predict_finetune(force=force)
+            .exclude(prediction="")
+            .filter(prediction__isnull=False)
+            .values_list("id", "prediction")
+        )
+        if not ld_data:
+            self.prediction_stats = {}
+            self.save(update_fields=["prediction_stats", "updated_at"])
+            return
 
-        print("Update complete!")
+        predictions = dict(ld_data)
+        ld_ids = list(predictions.keys())
+
+        annotated = dict(
+            ClassificationAnnotation.objects.filter(
+                label_document_id__in=ld_ids,
+                source="agent",
+                value__in=["yes", "no"],
+            ).values_list("label_document_id", "value")
+        )
+
+        if annotated:
+            tp = fp = fn = correct = 0
+            total = len(annotated)
+            for ld_id, true_val in annotated.items():
+                pred_val = predictions.get(ld_id)
+                if not pred_val:
+                    continue
+                if pred_val == true_val:
+                    correct += 1
+                if pred_val == "yes" and true_val == "yes":
+                    tp += 1
+                elif pred_val == "yes" and true_val == "no":
+                    fp += 1
+                elif pred_val == "no" and true_val == "yes":
+                    fn += 1
+
+            precision = tp / (tp + fp) if (tp + fp) > 0 else 0
+            recall = tp / (tp + fn) if (tp + fn) > 0 else 0
+            f1 = (
+                2 * precision * recall / (precision + recall)
+                if (precision + recall) > 0
+                else 0
+            )
+            self.prediction_stats = {
+                "f1": round(f1, 4),
+                "accuracy": round(correct / total, 4),
+                "precision": round(precision, 4),
+                "recall": round(recall, 4),
+                "total": total,
+            }
+        else:
+            self.prediction_stats = {}
 
-    class Meta:
-        unique_together = ("project", "name")
+        self.save(update_fields=["prediction_stats", "updated_at"])
 
 
-class LabelTag(BaseModel):
-    """Model for label tags."""
+class Prompt(Base):
+    """A customizable prompt template for a project."""
 
-    name = models.CharField(max_length=255)
-    label = models.ForeignKey(
-        Label, on_delete=models.CASCADE, related_name="tags"
-    )
-    slug = models.CharField(max_length=255)
-    heuristic = models.OneToOneField(
-        "LabelHeuristic",
-        on_delete=models.CASCADE,
-        null=True,
-        blank=True,
-        related_name="tag",
+    project = models.ForeignKey(
+        Project, on_delete=models.CASCADE, related_name="prompts"
     )
-
-    def save(self, *args, **kwargs):
-        self.slug = label2slug(self.name) + ":" + label2slug(self.label.name)
-        super().save(*args, **kwargs)
+    prompt_id = models.CharField(max_length=255)
+    name = models.CharField(max_length=255)
+    content = models.TextField(blank=True, default="")
+    built_in = models.BooleanField(default=False)
 
     class Meta:
-        unique_together = ("name", "label")
+        constraints = [
+            models.UniqueConstraint(
+                fields=["project", "prompt_id"],
+                name="prompt_project_promptid_uniq",
+            )
+        ]
 
 
-class LabelDecision(BaseModel):
-    """Model for label decision boundaries."""
+class Thread(Base):
+    """Model for LLM threads tied to a label."""
 
     label = models.ForeignKey(
-        Label, on_delete=models.CASCADE, related_name="decisions"
+        Label, on_delete=models.CASCADE, related_name="threads"
     )
-    text_hash = models.CharField(max_length=255)
-    text = models.TextField(null=True, blank=True)
-    value = models.BooleanField()
-    reason = models.TextField()
-    added_to_sample = models.BooleanField(default=False)
-
-    def save(self, *args, added_to_sample=False, **kwargs):
-        self.added_to_sample = added_to_sample
-        super().save(*args, **kwargs)
-
-    class Meta:
-        unique_together = ("label", "text_hash")
+    model = models.CharField(
+        max_length=255, default=django_settings.DEFAULT_MODEL
+    )
+    state = models.JSONField(default=dict, blank=True)
+    total_cost = models.FloatField(default=0.0)
+    autopilot_locked = models.BooleanField(default=False)
 
 
-class LabelQuerystring(BaseModel):
-    """Model for label querystrings."""
+class LabelDocument(Base):
+    """Links a document to a label (e.g. as a training example)."""
 
     label = models.ForeignKey(
-        Label, on_delete=models.CASCADE, related_name="querystrings"
+        Label, on_delete=models.CASCADE, related_name="label_documents"
     )
-    querystring = models.TextField()
-    num_examples = models.IntegerField(default=50)
-    added_to_sample = models.BooleanField(default=False)
-
-    def save(self, *args, added_to_sample=False, **kwargs):
-        self.added_to_sample = added_to_sample
-        super().save(*args, **kwargs)
+    document = models.ForeignKey(
+        "Document", on_delete=models.CASCADE, related_name="label_documents"
+    )
+    prediction = models.CharField(
+        max_length=3,
+        blank=True,
+        default="",
+        choices=[("yes", "yes"), ("no", "no")],
+    )
+    prediction_confidence = models.FloatField(null=True, blank=True)
 
     class Meta:
-        unique_together = ("label", "querystring")
+        constraints = [
+            models.UniqueConstraint(
+                fields=["label", "document"],
+                name="labeldocument_label_document_uniq",
+            )
+        ]
 
 
-class LabelHeuristic(BaseModel):
-    """Model for label heuristics."""
+class ClassificationAnnotation(Base):
+    """An annotation on a label document."""
 
-    label = models.ForeignKey(
-        Label, on_delete=models.CASCADE, related_name="heuristics"
+    class Value(models.TextChoices):
+        YES = "yes"
+        NO = "no"
+        SKIP = "skip"
+
+    label_document = models.ForeignKey(
+        LabelDocument, on_delete=models.CASCADE, related_name="annotations"
     )
-    querystring = models.TextField(null=True, blank=True)
-    custom = models.CharField(max_length=255, null=True, blank=True)
-    applied_at = models.DateTimeField(null=True, blank=True)
-    is_minimal = models.BooleanField(default=False)
-    is_likely = models.BooleanField(default=False)
-    num_examples = models.IntegerField(default=0)
+    value = models.CharField(max_length=4, choices=Value.choices)
+    source = models.CharField(max_length=255)
 
-    def save(self, *args, **kwargs):
-        if sum([bool(self.querystring), bool(self.custom)]) != 1:
-            raise ValueError(
-                "Exactly one of querystring or custom must be provided."
+    class Meta:
+        constraints = [
+            models.UniqueConstraint(
+                fields=["label_document", "source"],
+                name="annotation_labeldoc_source_uniq",
             )
-        super().save(*args, **kwargs)
-        if self.applied_at is not None:
-            self.label.update_counts()
-
-    def delete(self, *args, **kwargs):
-        self.is_minimal = False
-        self.is_likely = False
-        self.save()
-        self.label.update_counts()
-        super().delete(*args, **kwargs)
-
-    @property
-    def name(self):
-        if self.querystring is not None:
-            return f"h:qs:{self.querystring}"
-        elif self.custom is not None:
-            return f"h:fn:{self.custom}"
-
-    @classmethod
-    def sync_custom_heuristics(cls):
-        for heuristic in cls.objects.filter(custom__isnull=False):
-            label = heuristic.label
-            if (
-                heuristic.custom not in custom_heuristics
-                or label.name
-                != custom_heuristics[heuristic.custom]["label_name"]
-                or label.project_id
-                != custom_heuristics[heuristic.custom]["project_id"]
-            ):
-                heuristic.delete()
-
-        for custom_name, custom_heuristic in custom_heuristics.items():
-            heuristic_exists = cls.objects.filter(
-                label__name=custom_heuristic["label_name"],
-                label__project_id=custom_heuristic["project_id"],
-                custom=custom_name,
-            ).exists()
-            if not heuristic_exists:
-                label, _ = Label.objects.get_or_create(
-                    name=custom_heuristic["label_name"],
-                    project_id=custom_heuristic["project_id"],
-                )
-                heuristic = cls.objects.create(
-                    label=label,
-                    custom=custom_name,
-                )
+        ]
 
-    def get_apply_fn(self, **kwargs):
-        def apply_fn(text):
-            if self.querystring is not None:
-                text = text.lower()
-                querystring = self.querystring.lower()
-
-                for and_part in querystring.split(","):
-                    and_part = and_part.strip()
-                    meets_any_or = False
-                    for or_part in and_part.split("|"):
-                        or_part = or_part.strip()
-                        negated = False
-                        if or_part.startswith("~"):
-                            or_part = or_part[1:].strip()
-                            negated = True
-                        if or_part.startswith("^"):
-                            or_part = or_part[1:].strip()
-                            if text.startswith(or_part.strip()) != negated:
-                                meets_any_or = True
-                        elif (or_part.strip() in text) != negated:
-                            meets_any_or = True
-                    if not meets_any_or:
-                        return False
-                return True
-            elif self.custom is not None:
-                return custom_heuristics[self.custom]["apply_fn"](
-                    text, **kwargs
-                )
 
-        return apply_fn
+class Task(Base):
+    """A pending task for a project (e.g. 'annotate label X')."""
 
-    def apply(self):
-        tag, _ = LabelTag.objects.get_or_create(
-            name=self.name, label=self.label, heuristic=self
-        )
-        apply_fn = self.get_apply_fn()
-        example_ids = []
-        model = self.label.project.get_search_model()
-        batch_size = 1000000
-        batches = model.objects.batch_df("id", "text", batch_size=batch_size)
-        for batch in tqdm(
-            batches,
-            desc="Applying heuristic",
-            total=model.objects.count() // batch_size,
-        ):
-            batch = batch[batch["text"].apply(apply_fn)]
-            example_ids.extend(batch["id"].tolist())
-        model.bulk_replace_tag(tag.id, example_ids)
-        self.applied_at = timezone.now()
-        self.num_examples = model.objects.tags(any=[tag.id]).count()
-        self.save()
-        self.label.update_counts()
-
-
-class LabelTrainsetExample(BaseModel):
-    """Model for label trainset examples."""
+    class Status(models.TextChoices):
+        PENDING = "pending"
+        IN_PROGRESS = "in_progress"
+        AWAITING_INPUT = "awaiting_input"
 
+    project = models.ForeignKey(
+        Project, on_delete=models.CASCADE, related_name="tasks"
+    )
+    prompt_id = models.CharField(max_length=255)
     label = models.ForeignKey(
-        Label, on_delete=models.CASCADE, related_name="trainset_examples"
+        Label,
+        on_delete=models.CASCADE,
+        null=True,
+        blank=True,
+        related_name="tasks",
     )
-    text_hash = models.CharField(max_length=255)
-    text = models.TextField(null=True, blank=True)
-    split = models.CharField(
-        max_length=10,
-        choices=[("train", "Train"), ("eval", "Eval")],
+    status = models.CharField(
+        max_length=20, choices=Status.choices, default=Status.PENDING
     )
-    pred = models.BooleanField(null=True, blank=True)
-    reason = models.TextField(null=True, blank=True)
 
     class Meta:
-        unique_together = ("label", "text_hash")
-
-
-class LabelFinetune(BaseModel):
-    """Model for single-label finetuned models."""
-
-    label = models.ForeignKey(
-        Label, on_delete=models.CASCADE, related_name="fintunes"
-    )
-    config_name = models.CharField(max_length=255)
-    eval_results = models.JSONField(null=True, blank=True)
-    finetuned_at = models.DateTimeField(null=True, blank=True)
-    predicted_at = models.DateTimeField(null=True, blank=True)
-
-
-class DocketEntry(SearchDocumentModel):
-    """Docket entry model for main document entries."""
-
-    project_id = "docket-entry"
-    finetune_configs = {
-        "main": {
-            "base_model_name": "answerdotai/ModernBERT-base",
-            "training_args": {
-                "num_train_epochs": 10,
-                "learning_rate": 5e-5,
-                "warmup_ratio": 0.05,
-                "bf16": True,
-            },
-        },
-    }
-    main_finetune_config = "main"
-
-    id = models.BigIntegerField(primary_key=True)
-    recap_id = models.BigIntegerField(unique=True)
-    docket_id = models.BigIntegerField()
-    entry_number = models.BigIntegerField(null=True, blank=True)
-    date_filed = models.DateField(null=True, blank=True)
-
-
-DocketEntry.create_tags_model()
-
+        constraints = [
+            models.UniqueConstraint(
+                fields=["project", "prompt_id", "label"],
+                name="task_project_prompt_label_uniq",
+            )
+        ]
 
-class DocketEntryShort(SearchDocumentModel):
-    """Model for attachments and docket entry short descriptions."""
 
-    project_id = "docket-entry-short"
+class Message(Base):
+    """Model for messages within a thread."""
 
-    text = models.TextField(unique=True)
-    text_type = models.CharField(
-        max_length=255,
-        choices=[
-            ("short_description", "Short Description"),
-            ("attachment", "Attachment"),
-        ],
+    thread = models.ForeignKey(
+        Thread, on_delete=models.CASCADE, related_name="messages"
     )
-    count = models.IntegerField(default=0)
-
-
-DocketEntryShort.create_tags_model()
+    data = models.JSONField(default=dict)
+    num_tokens = models.IntegerField(default=0)
+    is_compact = models.BooleanField(default=False)
+    hidden = models.BooleanField(default=False)
diff --git a/clx/app/prompts.py b/clx/app/prompts.py
new file mode 100644
index 0000000..86080db
--- /dev/null
+++ b/clx/app/prompts.py
@@ -0,0 +1,152 @@
+PROJECT_UNDERSTANDING = """
+# Step 1: Understand the data
+
+Search the project data to understand what this project is about. Start with \
+a broad sample (empty query, ~20 results), but if documents are short, pull \
+more to get a representative picture.
+
+# Step 2: Clarify your understanding of the project
+
+Using the project name and data, form your best hypothesis about the project's \
+goals and domain. Then ask the user a series of targeted questions to validate \
+and deepen your understanding. Keep asking follow-ups until you have a thorough \
+grasp of the project's aims, scope, and any nuances.
+
+# Step 3: Update the project instructions
+
+Once you have a solid understanding, update the project instructions with a \
+detailed overview covering the project's purpose, domain, data characteristics, \
+and any important context.
+
+> Note: the active label in your system prompt may be one of many. Focus your \
+questions on the project as a whole, not the currently active label.
+"""
+
+LABEL_UNDERSTANDING = """
+# Step 1: Understand the data
+
+Search the project data to understand what this label should capture. Use the \
+label name, project instructions, and the data itself to form a hypothesis \
+about what documents should be included and excluded.
+
+Be thorough in your search — look for clear positives, clear negatives, and \
+edge cases. Try different query patterns to surface tricky examples that might \
+be ambiguous.
+
+# Step 2: Clarify your understanding of the label
+
+Then ask the user targeted questions to validate your understanding of the \
+label's criteria. Keep asking follow-ups until you can confidently distinguish \
+what belongs under this label and what doesn't. You can ask multiple questions \
+during each turn. Be very thorough.
+
+# Step 3: Update the label instructions
+
+Once ready, update the label instructions with detailed, specific annotation \
+guidelines. Include clear inclusion/exclusion criteria and address any edge \
+cases you identified.
+"""
+
+
+SAMPLING_STRATEGY = """
+# Step 1: Get a sense of training set size
+
+The expected size for the initial training set should be mentioned in the \
+project instructions. If it isn't, ask the user and update the project instructions \
+to reflect their answer.
+
+# Step 2: Come up with minimal and likely heuristics
+
+Search through the data an try to come up with two types of queries:
+
+- A minimal heuristic: This should be broad enough such that no positive example would \
+ever plausibly be excluded by the query. If the language of positive examples is \
+such that it would not be possible to scope examples with keyword conditions, \
+then you might leave this blank.
+
+- A likely heuristic: This should be narrow enough such that it catches some obvious \
+positive examples. It does not need to be perfect or complete, but it should catch \
+many easy positives.
+
+# Step 3: Store the heuristics in the label instructions
+
+Add a note detailing the function of the heuristics and their queries to the label \
+instructions.
+
+# Step 4: Create the initial sample
+
+Sample approximately 1/3 of the expected training set size from three buckets:
+
+- Things that do not satisfy the minimal heuristic.
+- Things that satisfy the minimal heuristic but not the likely heuristic.
+- Things that satisfy the likely heuristic.
+
+Note: When sampling based on a search, you can set num_examples to a much higher \
+number than the num_results used for the search tool. For example, if you wanted to \
+sample in 1000 examples, you might do a search with num_results=5 and then sample 1000 \
+examples from that search. This is encouraged so that you don't need to pull literally \
+every example into context.
+
+# Step 5: Target specific language
+
+You should perform additional queries to sample in any specific language that is discussed \
+in the label instructions. How many examples will depend on dataset size, but feel free to \
+grow the dataset size by ~20% with the stuff you pull in. Be thorough to capture any edge cases
+whose representation needs boosted.
+
+# Step 6: Target unknown language
+
+Try to come up with queries that exclude as many things that are easily targetable. The goal here \
+is to sample in even more underrepresented language that will not be easily targeted by the other \
+queries. These should be examples that live between the minimal and likely heuristics, but which \
+are even more narrowly targeted.
+"""
+
+ANNOTATE = """
+# Step 1: Annotate remaining examples
+
+Annotate all unannotated training examples for this label. Search for \
+unannotated documents (use annotation='none', query=None) and classify each one as 'yes', \
+'no', or 'skip' based on the label instructions.
+
+Work through the unannotated examples in batches of up to 100 examples. For each batch, \
+read the documents carefully and apply the label criteria consistently. Use 'yes' for \
+clear matches, 'no' for clear non-matches, and 'skip' only for documents that \
+are genuinely ambiguous or where you cannot make a confident determination.
+
+If the label instructions are unclear or you encounter edge cases not covered \
+by the guidelines, use your tool to ask the user for clarification so that you \
+can update the instructions before proceeding.
+
+After each batch, call the ClearToolHistory tool to make some extra room for context.
+
+# Step 2: Complete after all annotations or 3 batches
+
+You should continue annotating until all unannotated examples have been annotated or \
+until you've processed 3 batches. No matter what, do not end your turn without calling \
+the CompleteTask tool. Failing to do so will halt the process and require user intervention, \
+which we want to avoid (unless you are asking the user for feedback / clarification).
+
+> Note: If asked to compact your memory, you don't need to store specific annotations or \
+document IDs.
+"""
+
+
+prompt_registry = {
+    "project_understanding": {
+        "name": "Project Understanding",
+        "content": PROJECT_UNDERSTANDING.strip(),
+    },
+    "label_understanding": {
+        "name": "Label Understanding",
+        "content": LABEL_UNDERSTANDING.strip(),
+    },
+    "sampling_strategy": {
+        "name": "Sampling Strategy",
+        "content": SAMPLING_STRATEGY.strip(),
+    },
+    "annotate": {
+        "name": "Annotate",
+        "content": ANNOTATE.strip(),
+    },
+}
diff --git a/clx/app/search.py b/clx/app/search.py
new file mode 100644
index 0000000..5865bc7
--- /dev/null
+++ b/clx/app/search.py
@@ -0,0 +1,300 @@
+from __future__ import annotations
+
+from typing import Literal
+
+from django.db.models import F as models_F
+from django.db.models import OuterRef, Q, Subquery
+from django.db.models.fields import Field as DjangoField
+from django.db.models.lookups import Lookup
+from postgres_copy import CopyManager, CopyQuerySet
+from pydantic import BaseModel
+
+# ── Custom ILIKE lookup (uses trigram GIN index) ────────────
+
+
+class ILike(Lookup):
+    """Case-insensitive LIKE using ILIKE — supported by pg_trgm GIN index."""
+
+    lookup_name = "ilike"
+
+    def as_sql(self, compiler, connection):
+        lhs, lhs_params = self.process_lhs(compiler, connection)
+        rhs, rhs_params = self.process_rhs(compiler, connection)
+        return f"{lhs} ILIKE {rhs}", [*lhs_params, *rhs_params]
+
+
+DjangoField.register_lookup(ILike)
+
+# ── Query Schema ─────────────────────────────────────────────
+
+
+class Contains(BaseModel):
+    type: Literal["contains"] = "contains"
+    value: str
+
+
+class StartsWith(BaseModel):
+    type: Literal["startsWith"] = "startsWith"
+    value: str
+
+
+class Not(BaseModel):
+    type: Literal["not"] = "not"
+    query: Query
+
+
+class Or(BaseModel):
+    type: Literal["or"] = "or"
+    queries: list[Query]
+
+
+class And(BaseModel):
+    type: Literal["and"] = "and"
+    queries: list[Query]
+
+
+Query = Contains | StartsWith | Not | Or | And
+
+Not.model_rebuild()
+Or.model_rebuild()
+And.model_rebuild()
+
+
+# ── Query String Parser ──────────────────────────────────────
+
+
+def parse_query(text: str) -> dict:
+    """Parse a shorthand query string into a query dict.
+
+    Syntax:
+        ,  = AND
+        |  = OR
+        ~  = NOT
+        ^  = STARTSWITH
+        () = grouping
+        AND binds tighter than OR, so `A, B | C` = `A AND (B OR C)`
+        ...wait, the user said the opposite: "ands scoped outside ors"
+        meaning `A, B | C` = `A AND (B OR C)`.
+        Actually re-reading: "commas=AND ... ands as scoped outside of ors,
+        so A, B | C means A and (B or C)".
+        This means AND has *lower* precedence than OR.
+    """
+    tokens = _tokenize(text)
+    if not tokens:
+        return {"type": "contains", "value": ""}
+    parser = _Parser(tokens)
+    result = parser.parse_expr()
+    if parser.peek() is not None:
+        raise ValueError(f"Unexpected token: {parser.peek()}")
+    return result
+
+
+def _tokenize(text: str) -> list[str]:
+    tokens = []
+    i = 0
+    while i < len(text):
+        c = text[i]
+        if c in ",|~^()":
+            tokens.append(c)
+            i += 1
+        elif c.isspace():
+            i += 1
+        else:
+            j = i
+            while j < len(text) and text[j] not in ",|~^()":
+                j += 1
+            tokens.append(text[i:j].strip())
+            i = j
+    return tokens
+
+
+class _Parser:
+    def __init__(self, tokens: list[str]):
+        self.tokens = tokens
+        self.pos = 0
+
+    def peek(self) -> str | None:
+        return self.tokens[self.pos] if self.pos < len(self.tokens) else None
+
+    def consume(self, expected: str | None = None) -> str:
+        tok = self.peek()
+        if tok is None:
+            raise ValueError(f"Unexpected end of input (expected {expected})")
+        if expected and tok != expected:
+            raise ValueError(f"Expected '{expected}', got '{tok}'")
+        self.pos += 1
+        return tok
+
+    def parse_expr(self) -> dict:
+        return self.parse_and()
+
+    def parse_and(self) -> dict:
+        parts = [self.parse_or()]
+        while self.peek() == ",":
+            self.consume(",")
+            parts.append(self.parse_or())
+        return (
+            parts[0] if len(parts) == 1 else {"type": "and", "queries": parts}
+        )
+
+    def parse_or(self) -> dict:
+        parts = [self.parse_unary()]
+        while self.peek() == "|":
+            self.consume("|")
+            parts.append(self.parse_unary())
+        return (
+            parts[0] if len(parts) == 1 else {"type": "or", "queries": parts}
+        )
+
+    def parse_unary(self) -> dict:
+        if self.peek() == "~":
+            self.consume("~")
+            return {"type": "not", "query": self.parse_unary()}
+        return self.parse_primary()
+
+    def parse_primary(self) -> dict:
+        if self.peek() == "(":
+            self.consume("(")
+            expr = self.parse_expr()
+            self.consume(")")
+            return expr
+        if self.peek() == "^":
+            self.consume("^")
+            return {"type": "startsWith", "value": self.consume()}
+        return {"type": "contains", "value": self.consume()}
+
+
+# ── Django Q Builder ─────────────────────────────────────────
+
+
+def build_q(query: dict) -> Q:
+    """Convert a query dict into a Django Q object.
+
+    Uses ILIKE for contains (trigram GIN index compatible).
+    startsWith uses text_prefix for better index utilization.
+    """
+    match query["type"]:
+        case "contains":
+            return Q(text__ilike=f"%{query['value']}%")
+        case "startsWith":
+            return Q(text_prefix__ilike=f"{query['value']}%")
+        case "not":
+            return ~build_q(query["query"])
+        case "or":
+            result = Q()
+            for sub in query["queries"]:
+                result |= build_q(sub)
+            return result
+        case "and":
+            result = Q()
+            for sub in query["queries"]:
+                result &= build_q(sub)
+            return result
+        case _:
+            raise ValueError(f"Unknown query type: {query['type']}")
+
+
+# ── Custom QuerySet & Manager ────────────────────────────────
+
+
+class SearchQuerySet(CopyQuerySet):
+    def text_query(self, query: dict) -> SearchQuerySet:
+        """Filter using a query dict (matching the Query schema)."""
+        return self.filter(build_q(query))
+
+    def query_string(self, qs: str) -> SearchQuerySet:
+        """Filter using the shorthand query string syntax."""
+        return self.text_query(parse_query(qs))
+
+    def training_examples(self, label_id: str) -> SearchQuerySet:
+        """Filter to documents in a label's training set."""
+        return self.filter(label_documents__label_id=label_id)
+
+    def with_annotation(
+        self, label_id: str, source: str = "agent"
+    ) -> SearchQuerySet:
+        """Annotate each document with its classification value for label+source.
+
+        Adds an `annotation_value` field (str or None) to each row.
+        Uses a single subquery — no N+1.
+        """
+        from clx.app.models import ClassificationAnnotation
+
+        return self.annotate(
+            annotation_value=Subquery(
+                ClassificationAnnotation.objects.filter(
+                    label_document__document=OuterRef("pk"),
+                    label_document__label_id=label_id,
+                    source=source,
+                ).values("value")[:1]
+            )
+        )
+
+    def filter_annotation(
+        self, label_id: str, value: str, source: str = "agent"
+    ) -> SearchQuerySet:
+        """Filter documents by annotation value for a label+source.
+
+        value: 'yes', 'no', 'skip', 'none' (unannotated), or 'any' (has annotation).
+        """
+        qs = self.training_examples(label_id).with_annotation(label_id, source)
+        if value == "none":
+            return qs.filter(annotation_value__isnull=True)
+        if value == "any":
+            return qs.filter(annotation_value__isnull=False)
+        return qs.filter(annotation_value=value)
+
+    def with_prediction(self, label_id: str) -> SearchQuerySet:
+        """Annotate each document with its prediction value and confidence.
+
+        Adds `prediction_value` (str or None) and `prediction_confidence`
+        (float or None) fields to each row.
+        """
+        from clx.app.models import LabelDocument
+
+        return self.annotate(
+            prediction_value=Subquery(
+                LabelDocument.objects.filter(
+                    document=OuterRef("pk"),
+                    label_id=label_id,
+                ).values("prediction")[:1]
+            ),
+            prediction_confidence_value=Subquery(
+                LabelDocument.objects.filter(
+                    document=OuterRef("pk"),
+                    label_id=label_id,
+                ).values("prediction_confidence")[:1]
+            ),
+        )
+
+    def filter_prediction(self, label_id: str, value: str) -> SearchQuerySet:
+        """Filter documents by prediction value for a label.
+
+        value: 'yes', 'no', 'any', or 'disagree' (prediction != agent annotation).
+        """
+        from clx.app.models import LabelDocument
+
+        qs = self.training_examples(label_id)
+        qs = qs.annotate(
+            prediction_value=Subquery(
+                LabelDocument.objects.filter(
+                    document=OuterRef("pk"),
+                    label_id=label_id,
+                ).values("prediction")[:1]
+            )
+        )
+        if value == "disagree":
+            qs = qs.with_annotation(label_id, "agent")
+            return qs.filter(
+                prediction_value__isnull=False,
+                annotation_value__isnull=False,
+            ).exclude(prediction_value=models_F("annotation_value"))
+        if value == "any":
+            return qs.exclude(prediction_value="").filter(
+                prediction_value__isnull=False
+            )
+        return qs.filter(prediction_value=value)
+
+
+class SearchManager(CopyManager.from_queryset(SearchQuerySet)):
+    pass
diff --git a/clx/app/search_utils.py b/clx/app/search_utils.py
deleted file mode 100644
index 712ba43..0000000
--- a/clx/app/search_utils.py
+++ /dev/null
@@ -1,639 +0,0 @@
-import csv
-import random
-from io import StringIO
-
-import pandas as pd
-import simplejson as json
-from django.apps import apps
-from django.contrib.postgres.fields import ArrayField
-from django.contrib.postgres.indexes import GinIndex
-from django.db import connection, models, transaction
-from django.db.models import Q
-from django.utils import timezone
-from pgvector.django import (
-    CosineDistance,
-    HalfVectorField,
-    HnswIndex,
-)
-from postgres_copy import CopyManager, CopyQuerySet
-from pydantic import BaseModel as PydanticModel
-
-from clx import generate_hash
-from clx.llm import batch_embed
-
-
-# Pydantic Models
-class TagParams(PydanticModel):
-    any: list[int] = []
-    all: list[int] = []
-    not_any: list[int] = []
-    not_all: list[int] = []
-
-
-class SearchParams(PydanticModel):
-    heuristic_bucket: str | None = None
-    trainset_split: str | None = None
-    predictor_value: str | None = None
-    annotation_value: str | None = None
-    review_disagreements: bool | None = None
-    tags: TagParams = TagParams()
-    querystring: str | None = None
-
-
-class SearchQuery(PydanticModel):
-    active_label_id: int | None = None
-    params: SearchParams = SearchParams()
-    sort: list[str] = ["shuffle_sort", "id"]
-    semantic_sort: str | list[float] | None = None
-    page: int = 1
-    page_size: int = 100
-    count: bool = False
-
-
-# QuerySets
-class SearchQuerySet(CopyQuerySet):
-    """QuerySet for search queries."""
-
-    def batch_df(self, *columns, batch_size=1000):
-        last_id = None
-        self = self.order_by("id")
-        while 1:
-            if last_id is not None:
-                self = self.filter(id__gt=last_id)
-            data = pd.DataFrame(self.values(*columns)[:batch_size])
-            if len(data) == 0:
-                break
-            yield data
-            last_id = data["id"].max()
-
-    def querystring(self, value):
-        """Apply a querystring to the query.
-
-        For querystrings we will do an exact substring match on terms / phrases.
-        Commas will be treated as AND operators.
-        Bars will be treated as OR operators.
-        Tildes will be treated as NOT operators.
-        Carets will be treated as startswith operators.
-        We will always assume that ORs are nested in ANDs.
-        """
-        if value is not None:
-            assert isinstance(value, str), "Querystring must be a string"
-            and_condition = None
-            for and_part in value.split(","):
-                or_condition = None
-                for or_part in and_part.split("|"):
-                    or_part = or_part.strip()
-                    negated = False
-                    if or_part.startswith("~"):
-                        or_part = or_part[1:].strip()
-                        negated = True
-                    if or_part.startswith("^"):
-                        or_part = or_part[1:].strip()
-                        condition = Q(text_prefix__istartswith=or_part)
-                    else:
-                        condition = Q(text__icontains=or_part.strip())
-                    if negated:
-                        condition = ~condition
-                    if or_condition is None:
-                        or_condition = condition
-                    else:
-                        or_condition |= condition
-                if and_condition is None:
-                    and_condition = or_condition
-                else:
-                    and_condition &= or_condition
-            self = self.filter(and_condition)
-        return self
-
-    def tags(self, **params):
-        params = TagParams(**params).model_dump()
-        if params.get("any"):
-            self = self.filter(example_tags__tags__overlap=params["any"])
-        if params.get("all"):
-            self = self.filter(example_tags__tags__contains=params["all"])
-        if params.get("not_any"):
-            self = self.exclude(example_tags__tags__overlap=params["not_any"])
-        if params.get("not_all"):
-            self = self.exclude(example_tags__tags__contains=params["not_all"])
-        return self
-
-    def semantic_sort(self, value):
-        """Apply a semantic sort to the query."""
-        if isinstance(value, str):
-            value = batch_embed([value], dimensions=96)[0]
-        assert isinstance(value, list), (
-            "Semantic sort must be a string or list"
-        )
-        assert len(value) == 96, "Semantic sort must be a list of 96 floats"
-        assert all(isinstance(v, float) for v in value), (
-            "Semantic sort must be a list of floats"
-        )
-        return self.annotate(
-            distance=CosineDistance("embedding", value)
-        ).order_by("distance")
-
-    def search(self, **query):
-        """Search with params, pagination, and sorting."""
-        project = self.model.get_project()
-
-        # Prepare query
-        if query.get("params", {}).get("tags"):
-            query["params"]["tags"] = {
-                k: get_tag_ids(v, project.id)
-                for k, v in query["params"]["tags"].items()
-                if v
-            }
-
-        # Validate query
-        query = SearchQuery(**query).model_dump()
-        self = self.annotate(tags=models.F("example_tags__tags"))
-
-        active_label_id = query.get("active_label_id")
-        label = (
-            project.labels.get(id=active_label_id) if active_label_id else None
-        )
-
-        # Apply heuristic bucket filter
-        heuristic_bucket = query["params"].get("heuristic_bucket")
-        if label is not None and heuristic_bucket:
-            if heuristic_bucket == "excluded":
-                self = label.excluded_query(self)
-            elif heuristic_bucket == "neutral":
-                self = label.neutral_query(self)
-            elif heuristic_bucket == "likely":
-                self = label.likely_query(self)
-
-        # Apply trainset split filter
-        trainset_split = query["params"].get("trainset_split")
-        if label is not None and trainset_split:
-            if trainset_split == "train":
-                self = self.tags(any=[label.trainset_train_tag.id])
-            elif trainset_split == "eval":
-                self = self.tags(any=[label.trainset_eval_tag.id])
-            elif trainset_split == "both":
-                self = self.tags(
-                    any=[
-                        label.trainset_train_tag.id,
-                        label.trainset_eval_tag.id,
-                    ]
-                )
-
-        # Apply predictor value filter
-        predictor_value = query["params"].get("predictor_value")
-        if label is not None and predictor_value:
-            self = self.tags(
-                any=[label.trainset_train_tag.id, label.trainset_eval_tag.id]
-            )
-            if predictor_value == "true":
-                self = self.tags(any=[label.trainset_pred_tag.id])
-            elif predictor_value == "false":
-                self = self.tags(not_any=[label.trainset_pred_tag.id])
-
-        # Apply manual annotation filter
-        annotation_value = query["params"].get("annotation_value")
-        if label is not None and annotation_value:
-            if annotation_value == "true":
-                self = self.tags(any=[label.anno_true_tag.id])
-            elif annotation_value == "false":
-                self = self.tags(any=[label.anno_false_tag.id])
-            elif annotation_value == "flag":
-                self = self.tags(any=[label.anno_flag_tag.id])
-            elif annotation_value == "any":
-                self = self.tags(
-                    any=[
-                        label.anno_true_tag.id,
-                        label.anno_false_tag.id,
-                        label.anno_flag_tag.id,
-                    ]
-                )
-            elif annotation_value == "none":
-                self = self.tags(
-                    not_any=[
-                        label.anno_true_tag.id,
-                        label.anno_false_tag.id,
-                        label.anno_flag_tag.id,
-                    ]
-                )
-
-        # Apply disagreements review filter
-        review_disagreements = query["params"].get("review_disagreements")
-        if label is not None and review_disagreements:
-            tag_ids = [label.trainset_pred_tag.id]
-            config_names = list(
-                label.fintunes.values_list("config_name", flat=True)
-            )
-            for config_name in config_names:
-                tag_ids.append(label.get_trainset_finetune_tag(config_name).id)
-            if len(tag_ids) <= 1:
-                self = self.none()
-            else:
-                q_disagree = Q()
-                for i in tag_ids:
-                    for j in tag_ids:
-                        if i == j:
-                            continue
-                        q_disagree |= Q(example_tags__tags__contains=[i]) & ~Q(
-                            example_tags__tags__contains=[j]
-                        )
-                self = self.filter(q_disagree)
-
-        # Apply param filters
-        params = query["params"]
-        self = self.tags(**params.get("tags", {}))
-        self = self.querystring(params.get("querystring"))
-
-        # Return count if requested
-        if query.get("count"):
-            return {"total": self.count()}
-
-        # Apply sorting
-        if query.get("semantic_sort"):
-            self = self.semantic_sort(query["semantic_sort"])
-        else:
-            self = self.order_by(*query["sort"])
-
-        # Select columns
-        cols = ["id", "text_hash", "text", "tags"]
-        self = self.values(*cols)
-
-        # Apply pagination
-        self = self.page(query["page"], size=query["page_size"])
-        data = list(self)
-        if label is not None and len(data):
-            data = pd.DataFrame(data)
-            trainset_examples = label.trainset_examples.filter(
-                text_hash__in=data["text_hash"].tolist()
-            )
-            trainset_examples = trainset_examples.values(
-                "text_hash", "split", "pred", "reason"
-            )
-            trainset_examples = pd.DataFrame(trainset_examples)
-            if len(trainset_examples):
-                trainset_examples = trainset_examples.drop_duplicates(
-                    subset="text_hash"
-                )
-                data = data.merge(
-                    trainset_examples, on="text_hash", how="left"
-                )
-            data = data.to_dict(orient="records")
-        data = json.loads(json.dumps(data, ignore_nan=True))
-        return {"data": data}
-
-    def page(self, page, size=100):
-        assert isinstance(page, int), "Page number must be an integer"
-        assert page > 0, "Page number must be greater than 0"
-        assert size > 0, "Page size must be greater than 0"
-        assert size <= 1000, "Page size must be less than 1000"
-        return self[size * (page - 1) : size * page]
-
-
-# Queryset Managers
-class SearchManager(CopyManager.from_queryset(SearchQuerySet)):
-    pass
-
-
-# Abstract Models
-class BaseModel(models.Model):
-    """Base model for all models"""
-
-    id = models.BigAutoField(primary_key=True)
-    created_at = models.DateTimeField(auto_now_add=True)
-    updated_at = models.DateTimeField(auto_now=True)
-
-    class Meta:
-        abstract = True
-
-
-class SearchDocumentModelBase(models.base.ModelBase):
-    """Meta class for search document models."""
-
-    def __new__(cls, name, bases, attrs, **kwargs):
-        """Create a new search document model."""
-        if "Meta" not in attrs:
-            project_id = attrs.get("project_id")
-            if project_id is None:
-                raise ValueError(f"{name} must define a project_id")
-            attrs["Meta"] = type(
-                "Meta",
-                (),
-                {
-                    "db_table": f"project_{project_id}_doc",
-                    "indexes": [
-                        models.Index(
-                            fields=["shuffle_sort", "id"],
-                            name=f"{project_id}_s_idx",
-                        ),
-                        models.Index(
-                            fields=["text_prefix"],
-                            name=f"{project_id}_pr_idx",
-                            opclasses=["text_pattern_ops"],
-                        ),
-                        GinIndex(
-                            fields=["text"],
-                            name=f"{project_id}_trg_idx",
-                            opclasses=["gin_trgm_ops"],
-                        ),
-                        HnswIndex(
-                            fields=["embedding"],
-                            name=f"{project_id}_hnsw_idx",
-                            m=16,
-                            ef_construction=64,
-                            opclasses=["halfvec_cosine_ops"],
-                        ),
-                    ],
-                },
-            )
-        return super().__new__(cls, name, bases, attrs, **kwargs)
-
-
-class SearchDocumentModel(BaseModel, metaclass=SearchDocumentModelBase):
-    """Search document model."""
-
-    project_id = None
-    finetune_configs = {}
-    main_finetune_config = None
-
-    id = models.BigIntegerField(primary_key=True)
-    text = models.TextField()
-    text_prefix = models.CharField(max_length=50)
-    text_hash = models.CharField(max_length=255)
-    shuffle_sort = models.IntegerField()
-    embedding = HalfVectorField(dimensions=96)
-
-    objects = SearchManager()
-
-    def save(self, *args, **kwargs):
-        self.text_prefix = self.text[:50]
-        self.text_hash = generate_hash(self.text)
-        super().save(*args, **kwargs)
-
-    @classmethod
-    def get_project(cls):
-        """Get the project for the search document."""
-        return get_search_model_project(cls)
-
-    @property
-    def project(self):
-        """Get the project for the search document."""
-        return self.get_project()
-
-    @classmethod
-    def create_tags_model(cls):
-        model_name = f"{cls.__name__}Tags"
-
-        attrs = {
-            "__module__": cls.__module__,
-            "is_tag_model": True,
-            "project_id": cls.project_id,
-            "id": models.OneToOneField(
-                cls,
-                on_delete=models.CASCADE,
-                primary_key=True,
-                db_column="id",
-                related_name="example_tags",
-            ),
-            "tags": ArrayField(
-                models.BigIntegerField(), default=list, blank=True
-            ),
-            "objects": CopyManager(),
-            "get_project": classmethod(get_search_model_project),
-            "project": property(lambda self: self.get_project()),
-            "Meta": type(
-                "Meta",
-                (),
-                {
-                    "db_table": f"project_{cls.project_id}_tags",
-                    "indexes": [
-                        GinIndex(
-                            fields=["tags"],
-                            name=f"{cls.project_id}_t_gin",
-                        ),
-                    ],
-                },
-            ),
-        }
-
-        TagsModel = type(model_name, (models.Model,), attrs)
-        return TagsModel
-
-    @classmethod
-    def guarantee_tags_rows(cls):
-        q = cls.objects.filter(example_tags__isnull=True)
-        if q.exists():
-            for data in q.batch_df("id", batch_size=500000):
-                tags_model = cls.get_project().get_tags_model()
-                f = StringIO()
-                data.to_csv(f, index=False)
-                f.seek(0)
-                tags_model.objects.from_csv(
-                    f,
-                    static_mapping={"tags": "{}"},
-                    ignore_conflicts=True,
-                )
-
-    @classmethod
-    def bulk_replace_tag(cls, tag, ids):
-        """Bulk replace a tags for a table."""
-        tag_id = get_tag_ids([tag], cls.project_id)[0]
-        tags_table = cls.get_project().get_tags_model()._meta.db_table
-        added = removed = 0
-
-        with transaction.atomic(), connection.cursor() as cur:
-            cur.execute(
-                "CREATE TEMP TABLE stage_tag_ids(example_id BIGINT) ON COMMIT DROP;"
-            )
-            cur.execute("CREATE INDEX ON stage_tag_ids(example_id);")
-
-            f = StringIO("".join(f"{i}\n" for i in ids))
-            cur.copy_expert(
-                "COPY stage_tag_ids (example_id) FROM STDIN WITH (FORMAT CSV)",
-                f,
-            )
-
-            cur.execute(
-                f"""
-                UPDATE "{tags_table}" t
-                SET tags = array_cat(t.tags, ARRAY[%s]::bigint[])
-                FROM stage_tag_ids s
-                WHERE t.id = s.example_id
-                    AND NOT (t.tags @> ARRAY[%s]::bigint[])
-                """,
-                [tag_id, tag_id],
-            )
-            added = cur.rowcount
-
-            cur.execute(
-                f"""
-                UPDATE "{tags_table}" t
-                SET tags = array_remove(t.tags, %s)
-                WHERE t.tags @> ARRAY[%s]::bigint[]
-                    AND NOT EXISTS (
-                        SELECT 1 FROM stage_tag_ids s WHERE s.example_id = t.id
-                    )
-                """,
-                [tag_id, tag_id],
-            )
-            removed = cur.rowcount
-
-        return added, removed
-
-    @classmethod
-    def bulk_update_column(cls, column, ids, values, id_column="id"):
-        """Bulk update column values by ID."""
-        assert len(ids) == len(values), "ids and values must match in length"
-
-        field = cls._meta.get_field(column)
-        field_type = get_pg_type(field)
-        id_type = get_pg_type(cls._meta.get_field(id_column))
-
-        table = cls._meta.db_table
-
-        f = StringIO()
-        writer = csv.writer(f)
-        for k, v in zip(ids, values):
-            writer.writerow([k, "" if v is None else v])
-        f.seek(0)
-        with transaction.atomic(), connection.cursor() as cur:
-            cur.execute(
-                f"CREATE TEMP TABLE stage_updates(id {id_type}, val text) ON COMMIT DROP;"
-            )
-            cur.copy_expert(
-                "COPY stage_updates (id, val) FROM STDIN WITH (FORMAT CSV)",
-                f,
-            )
-            cur.execute(
-                f"""
-                UPDATE "{table}" t
-                SET {column} =
-                    CASE WHEN s.val = '' THEN NULL ELSE s.val::{field_type} END
-                FROM stage_updates s
-                WHERE t.{id_column} = s.id
-                """
-            )
-            updated = cur.rowcount
-            return updated
-
-    @classmethod
-    def bulk_insert(cls, data, **kwargs):
-        """Bulk insert data into the model."""
-        if "id" not in data.columns:
-            start_id = 1
-            if cls.objects.exists():
-                start_id = cls.objects.order_by("-id").first().id + 1
-            data["id"] = range(start_id, start_id + len(data))
-        data = data.dropna(subset=["text"])
-        data["text"] = data["text"].str.strip()
-        data = data[data["text"].apply(len) > 0]
-        data["text_prefix"] = data["text"].apply(lambda x: x[:50])
-        data["text_hash"] = data["text"].apply(generate_hash)
-        data["shuffle_sort"] = data["text_hash"].apply(
-            lambda x: random.randint(0, 100000000)
-        )
-        embeddings = data.copy().drop_duplicates(subset=["text_hash"])[
-            ["text_hash", "text"]
-        ]
-        embeddings = cls.get_project().load_or_add_embeddings(embeddings)[
-            ["text_hash", "embedding"]
-        ]
-        data = data.merge(embeddings, on="text_hash", how="left")
-        f = StringIO()
-        data.to_csv(f, index=False)
-        f.seek(0)
-        cls.objects.from_csv(
-            f,
-            static_mapping={
-                "created_at": timezone.now(),
-                "updated_at": timezone.now(),
-            },
-            **kwargs,
-        )
-        cls.guarantee_tags_rows()
-
-    def set_annotation(self, label, value):
-        """Set annotation tag for this example for the given label."""
-        if isinstance(value, bool):
-            value = "true" if value else "false"
-        assert value is None or value in ["true", "false", "flag"], (
-            "value must be 'true', 'false', 'flag', True, False, or None"
-        )
-
-        tags = self.example_tags
-        tag_ids = {
-            "true": label.anno_true_tag.id,
-            "false": label.anno_false_tag.id,
-            "flag": label.anno_flag_tag.id,
-        }
-        for tag_id in tag_ids.values():
-            if tag_id in tags.tags:
-                tags.tags.remove(tag_id)
-        if value in tag_ids:
-            tags.tags.append(tag_ids[value])
-        tags.save()
-        label.update_trainset_pred_counts()
-
-    class Meta:
-        abstract = True
-        indexes = []
-
-
-# Utils
-def get_search_model_project(cls):
-    """Get the project for a search document or search tags model."""
-    if cls.project_id is not None:
-        from .models import Project
-
-        return Project.objects.get(id=cls.project_id)
-
-
-def get_pg_type(field):
-    """Get the PostgreSQL type for a field."""
-    if isinstance(field, (models.IntegerField | models.BigIntegerField)):
-        pg_type = "bigint"
-    elif isinstance(field, (models.TextField | models.CharField)):
-        pg_type = "text"
-    else:
-        raise NotImplementedError(f"Unsupported field type: {type(field)}")
-    return pg_type
-
-
-def get_tag_ids(tags, project_id):
-    from clx.models import LabelTag
-
-    if all(isinstance(tag, int) for tag in tags):
-        return tags
-    elif all(isinstance(tag, LabelTag) for tag in tags):
-        return [tag.id for tag in tags]
-    elif all(isinstance(tag, str) for tag in tags):
-        tags = LabelTag.objects.filter(
-            slug__in=tags, label__project__id=project_id
-        )
-        return [tag.id for tag in tags]
-    else:
-        raise ValueError(
-            "tags must be same type, either int, LabelTag, or tag slug string"
-        )
-
-
-def init_search_models(**kwargs):
-    """Create a project for each SearchDocumentModel.
-
-    Then register the associated tags model.
-    """
-    from .models import Project
-
-    for model in apps.get_models():
-        if issubclass(model, SearchDocumentModel):
-            project, created = Project.objects.get_or_create(
-                id=model.project_id,
-                model_name=model.__name__,
-            )
-            if created:
-                project.name = model.__name__
-                project.save()
-
-    for model in apps.get_models():
-        if hasattr(model, "is_tag_model") and model.is_tag_model:
-            project = Project.objects.get(id=model.project_id)
-            if project.tags_model_name != model.__name__:
-                project.tags_model_name = model.__name__
-                project.save()
diff --git a/clx/app/templates/base.html b/clx/app/templates/base.html
index 4f0d7b0..cca3744 100644
--- a/clx/app/templates/base.html
+++ b/clx/app/templates/base.html
@@ -3,16 +3,105 @@
 <head>
     <meta charset="utf-8">
     <meta name="viewport" content="width=device-width, initial-scale=1">
-    <title>Classifier Experiments</title>
+    <title>CLX</title>
+    <link rel="preconnect" href="https://fonts.googleapis.com">
+    <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
+    <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">
     <script src="https://cdn.tailwindcss.com"></script>
+    <script>
+        tailwind.config = {
+            theme: {
+                extend: {
+                    colors: {
+                        border: '#e2e8f0',
+                        surface: '#ffffff',
+                        muted: '#f8fafc',
+                        'muted-foreground': '#64748b',
+                        accent: {
+                            DEFAULT: '#6366f1',
+                            hover: '#4f46e5',
+                            light: '#eef2ff',
+                            muted: '#c7d2fe',
+                        },
+                        sidebar: {
+                            DEFAULT: '#0f172a',
+                            light: '#1e293b',
+                            lighter: '#334155',
+                        },
+                    },
+                    fontFamily: {
+                        sans: ['Inter', 'system-ui', '-apple-system', 'sans-serif'],
+                    },
+                    boxShadow: {
+                        'soft': '0 1px 3px 0 rgb(0 0 0 / 0.04), 0 1px 2px -1px rgb(0 0 0 / 0.04)',
+                        'card': '0 1px 3px 0 rgb(0 0 0 / 0.06), 0 2px 8px -2px rgb(0 0 0 / 0.06)',
+                        'elevated': '0 4px 12px -2px rgb(0 0 0 / 0.08), 0 2px 6px -2px rgb(0 0 0 / 0.04)',
+                        'modal': '0 20px 60px -12px rgb(0 0 0 / 0.25), 0 8px 20px -8px rgb(0 0 0 / 0.1)',
+                    },
+                }
+            }
+        }
+    </script>
     <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.5.1/css/all.min.css">
+    <script src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/dompurify/dist/purify.min.js"></script>
     <script defer src="https://unpkg.com/alpinejs@3.x.x/dist/cdn.min.js"></script>
 
     <style>
         [x-cloak]{ display: none !important }
+        .scrollable-panel { overflow-y: auto; }
+        /* Custom scrollbar */
+        .scrollable-panel::-webkit-scrollbar { width: 5px; }
+        .scrollable-panel::-webkit-scrollbar-track { background: transparent; }
+        .scrollable-panel::-webkit-scrollbar-thumb { background: #cbd5e1; border-radius: 999px; }
+        .scrollable-panel::-webkit-scrollbar-thumb:hover { background: #94a3b8; }
+        /* Dark scrollbar for sidebar */
+        .scrollable-dark::-webkit-scrollbar-thumb { background: #475569; }
+        .scrollable-dark::-webkit-scrollbar-thumb:hover { background: #64748b; }
+        /* Markdown prose inside chat bubbles */
+        .prose-chat { overflow-wrap: break-word; word-break: break-word; }
+        .prose-chat p { margin: 0.35em 0; }
+        .prose-chat p:first-child { margin-top: 0; }
+        .prose-chat p:last-child { margin-bottom: 0; }
+        .prose-chat ul, .prose-chat ol { margin: 0.35em 0; padding-left: 1.4em; }
+        .prose-chat li { margin: 0.15em 0; }
+        .prose-chat pre { background: rgba(0,0,0,0.05); border-radius: 0.5rem; padding: 0.6em 0.85em; overflow-x: auto; margin: 0.5em 0; font-size: 0.85em; }
+        .prose-chat code { font-size: 0.85em; }
+        .prose-chat :not(pre) > code { background: rgba(0,0,0,0.05); padding: 0.15em 0.35em; border-radius: 0.25rem; }
+        .prose-chat h1, .prose-chat h2, .prose-chat h3 { font-weight: 600; margin: 0.5em 0 0.25em; }
+        .prose-chat h1 { font-size: 1.15em; }
+        .prose-chat h2 { font-size: 1.05em; }
+        .prose-chat h3 { font-size: 1em; }
+        .prose-chat blockquote { border-left: 3px solid rgba(0,0,0,0.12); padding-left: 0.75em; margin: 0.35em 0; color: inherit; opacity: 0.8; }
+        .prose-chat table { border-collapse: collapse; margin: 0.5em 0; }
+        .prose-chat th, .prose-chat td { border: 1px solid rgba(0,0,0,0.1); padding: 0.25em 0.5em; font-size: 0.9em; }
+        /* White variant for user bubbles */
+        .prose-chat-white pre { background: rgba(255,255,255,0.12); }
+        .prose-chat-white :not(pre) > code { background: rgba(255,255,255,0.12); }
+        .prose-chat-white blockquote { border-left-color: rgba(255,255,255,0.3); }
+        .prose-chat-white th, .prose-chat-white td { border-color: rgba(255,255,255,0.2); }
+        /* Dark variant for assistant bubbles on dark bg */
+        .prose-chat-dark pre { background: rgba(255,255,255,0.05); }
+        .prose-chat-dark :not(pre) > code { background: rgba(255,255,255,0.08); }
+        .prose-chat-dark blockquote { border-left-color: rgba(255,255,255,0.15); }
+        .prose-chat-dark th, .prose-chat-dark td { border-color: rgba(255,255,255,0.1); }
+        /* Smooth transitions */
+        .transition-panel { transition: all 0.15s ease; }
     </style>
+    <script>
+        marked.setOptions({ breaks: true, gfm: true });
+        window.renderMarkdown = (text) => text ? DOMPurify.sanitize(marked.parse(text)) : '';
+    </script>
 </head>
-<body>
+<body class="font-sans bg-slate-50 text-slate-800 antialiased h-screen flex flex-col overflow-hidden">
+    {% block navbar %}
+    <nav class="h-14 shrink-0 border-b border-slate-200/80 flex items-center px-6 bg-white shadow-soft">
+        <a href="/" class="text-sm font-bold text-slate-800 tracking-tight flex items-center gap-2.5">
+            <span class="w-6 h-6 rounded-lg bg-gradient-to-br from-indigo-500 to-purple-600 flex items-center justify-center text-white text-[10px] font-bold shadow-sm">C</span>
+            CLX
+        </a>
+    </nav>
+    {% endblock %}
     {% block content %}{% endblock %}
 </body>
-</html>
\ No newline at end of file
+</html>
diff --git a/clx/app/templates/project_detail.html b/clx/app/templates/project_detail.html
new file mode 100644
index 0000000..75eae9f
--- /dev/null
+++ b/clx/app/templates/project_detail.html
@@ -0,0 +1,1653 @@
+{% extends "base.html" %}
+
+{% block navbar %}{% endblock %}
+
+{% block content %}
+<div x-data="{
+         activeTab: 'overview',
+         tasks: [],
+         tasksLoading: false,
+         documents: [],
+         page: 1,
+         hasNext: false,
+         totalCount: null,
+         countLoading: false,
+         loading: true,
+         queryString: '',
+         showQueryHelp: false,
+         projectName: '{{ project.name|escapejs }}',
+         projectInstructions: '{{ project.instructions|escapejs }}',
+         autopilotEnabled: {{ project.autopilot_enabled|yesno:"true,false" }},
+         _savedProjectName: '{{ project.name|escapejs }}',
+         _savedProjectInstructions: '{{ project.instructions|escapejs }}',
+         _savedLabelName: null,
+         _savedLabelInstructions: null,
+         editingInstructions: false,
+         settingsSection: 'project',
+         activeLabel: null,
+         labels: [],
+         labelDropdownOpen: false,
+         showCreateLabelModal: false,
+         newLabelName: '',
+         editingLabelInstructions: false,
+         filterLabelOnly: false,
+         filterAnnotation: null,
+         filterPrediction: null,
+         sortOrder: 'shuffle',
+         sortDropdownOpen: false,
+         promptDropdownOpen: false,
+         prompts: [],
+         editingPrompt: null,
+         promptResetTarget: null,
+         promptDeleteTarget: null,
+         showCreatePromptModal: false,
+         newPromptName: '',
+         dangerAction: null,
+         dangerConfirmText: '',
+         threads: [],
+         activeThread: null,
+         threadToDelete: null,
+         chatMessages: [],
+         chatInput: '',
+         chatSending: false,
+         threadUsage: null,
+         labelStats: null,
+         finetune: null,
+         finetunePolling: null,
+         finetuneStarting: false,
+         finetuneArgsOpen: false,
+         predicting: false,
+         selectedModel: '{{ default_model }}',
+         modelDropdownOpen: false,
+         modelIds: {{ model_ids|safe }},
+         newThread() {
+             if (!this.activeLabel) return;
+             fetch('/api/projects/{{ project.id }}/labels/' + this.activeLabel.id + '/threads/create', {
+                 method: 'POST',
+                 headers: {'Content-Type': 'application/json'},
+                 body: JSON.stringify({model: this.selectedModel})
+             }).then(r => r.json()).then(thread => {
+                 this.fetchThreads().then(() => {
+                     const t = this.threads.find(t => t.id === thread.id);
+                     if (t) this.selectThread(t);
+                 });
+             });
+         },
+         selectThread(thread) {
+             this.activeThread = thread;
+             this.selectedModel = thread.model;
+             this.chatMessages = [];
+             this.threadUsage = null;
+             this.chatSending = this._sendingThreadId === thread.id;
+             this.resetChatInput();
+             fetch('/api/projects/{{ project.id }}/threads/' + thread.id + '/messages')
+                 .then(r => r.json())
+                 .then(data => {
+                     this.chatMessages = data.messages.map(m => m.data).filter(d => d.role !== 'system');
+                     this.threadUsage = data.usage;
+                     if (this.activeThread && this.activeThread.id === thread.id) {
+                         this.activeThread.autopilot_locked = data.autopilot_locked;
+                     }
+                     this.$nextTick(() => { this.scrollChat(); });
+                 });
+         },
+         sendMessage() {
+             const content = this.chatInput.trim();
+             if (!content || this.chatSending) return;
+             if (!this.activeThread) {
+                 // Auto-create thread then send
+                 if (!this.activeLabel) return;
+                 this.chatSending = true;
+                 fetch('/api/projects/{{ project.id }}/labels/' + this.activeLabel.id + '/threads/create', {
+                     method: 'POST',
+                     headers: {'Content-Type': 'application/json'},
+                     body: JSON.stringify({model: this.selectedModel})
+                 }).then(r => r.json()).then(thread => {
+                     const newThread = {id: thread.id, model: thread.model, preview: '', updated_at: new Date().toISOString(), is_autopilot: false, autopilot_locked: false};
+                     // Insert after autopilot thread to maintain sort order.
+                     const apIdx = this.threads.findIndex(t => t.is_autopilot);
+                     if (apIdx >= 0) {
+                         this.threads.splice(apIdx + 1, 0, newThread);
+                     } else {
+                         this.threads.unshift(newThread);
+                     }
+                     this.activeThread = newThread;
+                     this._doSend(content);
+                 });
+                 return;
+             }
+             this.chatSending = true;
+             this._doSend(content);
+         },
+         _doSend(content) {
+             const threadId = this.activeThread.id;
+             this.chatMessages.push({role: 'user', content: content});
+             this.resetChatInput();
+             this._sendingThreadId = threadId;
+             this.$nextTick(() => { this.scrollChat(); });
+             fetch('/api/projects/{{ project.id }}/threads/' + threadId + '/send', {
+                 method: 'POST',
+                 headers: {'Content-Type': 'application/json'},
+                 body: JSON.stringify({content})
+             }).then(r => r.json()).then(data => {
+                 // Set thread preview from first user message (only if not already set)
+                 const t = this.threads.find(t => t.id === threadId);
+                 if (t && !t.preview) t.preview = content.substring(0, 100);
+                 // Only update chat UI if still viewing the same thread
+                 if (this.activeThread && this.activeThread.id === threadId) {
+                     this.chatMessages.push(...data.messages);
+                     this.threadUsage = data.usage;
+                     this.chatSending = false;
+                     this.$nextTick(() => { this.scrollChat(); });
+                 }
+                 if (this._sendingThreadId === threadId) this._sendingThreadId = null;
+                 // Refresh project/label data if agent updated instructions
+                 const toolNames = data.messages
+                     .filter(m => m.role === 'assistant' && m.tool_calls)
+                     .flatMap(m => m.tool_calls.map(tc => tc.function.name));
+                 if (toolNames.includes('UpdateProjectInstructions')) {
+                     fetch('/api/projects/{{ project.id }}/update', {
+                         method: 'POST',
+                         headers: {'Content-Type': 'application/json'},
+                         body: JSON.stringify({})
+                     }).then(r => r.json()).then(p => {
+                         this.projectName = p.name;
+                         this.projectInstructions = p.instructions;
+                     });
+                 }
+                 if (toolNames.includes('UpdateLabelInstructions')) {
+                     this.fetchLabels();
+                 }
+                 if (toolNames.includes('AddTrainingExamples') || toolNames.includes('Annotate')) {
+                     this.fetchLabelStats();
+                 }
+             }).catch(() => {
+                 if (this._sendingThreadId === threadId) this._sendingThreadId = null;
+                 if (this.activeThread && this.activeThread.id === threadId) this.chatSending = false;
+             });
+         },
+         scrollChat() {
+             const el = document.getElementById('chat-scroll');
+             if (el) el.scrollTop = el.scrollHeight;
+         },
+         resetChatInput() {
+             this.chatInput = '';
+             this.$nextTick(() => {
+                 const ta = document.getElementById('chat-input');
+                 if (ta) { ta.style.height = 'auto'; }
+             });
+         },
+         _filterParams() {
+             const p = new URLSearchParams();
+             if (this.queryString.trim()) p.set('q', this.queryString.trim());
+             if ((this.filterLabelOnly || this.filterAnnotation || this.filterPrediction) && this.activeLabel) p.set('label', this.activeLabel.id);
+             if (this.filterAnnotation && this.activeLabel) p.set('annotation', this.filterAnnotation);
+             if (this.filterPrediction && this.activeLabel) p.set('prediction', this.filterPrediction);
+             if (this.sortOrder !== 'shuffle') p.set('sort', this.sortOrder);
+             return p.toString();
+         },
+         search() {
+             this.activeTab = 'search';
+             this.page = 1;
+             this.totalCount = null;
+             this.fetchDocs();
+         },
+         fetchDocs() {
+             this.loading = true;
+             const params = this._filterParams();
+             const qs = 'page=' + this.page + (params ? '&' + params : '');
+             fetch('/api/projects/{{ project.id }}/docs?' + qs)
+                 .then(r => r.json())
+                 .then(data => {
+                     this.documents = data.documents;
+                     this.page = data.page;
+                     this.hasNext = data.has_next;
+                     this.loading = false;
+                 })
+                 .catch(() => { this.loading = false; });
+         },
+         fetchCount() {
+             if (this.countLoading) return;
+             this.countLoading = true;
+             const params = this._filterParams();
+             fetch('/api/projects/{{ project.id }}/docs/count' + (params ? '?' + params : ''))
+                 .then(r => r.json())
+                 .then(data => {
+                     this.totalCount = data.total_count;
+                     this.countLoading = false;
+                 })
+                 .catch(() => { this.countLoading = false; });
+         },
+         fetchLabels() {
+             fetch('/api/projects/{{ project.id }}/labels')
+                 .then(r => r.json())
+                 .then(data => {
+                     this.labels = data.labels;
+                     const active = data.active_label_id;
+                     this.activeLabel = this.labels.find(l => l.id === active) || this.labels[0] || null;
+                     if (this.activeLabel) {
+                         this._savedLabelName = this.activeLabel.name;
+                         this._savedLabelInstructions = this.activeLabel.instructions || '';
+                         this.fetchThreads();
+                         this.fetchLabelStats();
+                         this.fetchFinetune();
+                     }
+                 });
+         },
+         fetchLabelStats() {
+             if (!this.activeLabel) { this.labelStats = null; return; }
+             this.labelStats = this.activeLabel.stats || null;
+         },
+         fetchFinetune() {
+             if (!this.activeLabel) { this.finetune = null; return; }
+             fetch('/api/projects/{{ project.id }}/labels/' + this.activeLabel.id + '/finetune/status')
+                 .then(r => r.json())
+                 .then(data => {
+                     this.finetune = data;
+                     if (data.status === 'in_progress' && !this.finetunePolling) {
+                         this.startFinetunePolling();
+                     } else if (data.status !== 'in_progress' && this.finetunePolling) {
+                         this.stopFinetunePolling();
+                     }
+                 });
+         },
+         startFinetunePolling() {
+             if (this.finetunePolling) return;
+             this.finetunePolling = setInterval(() => { this.fetchFinetune(); }, 5000);
+         },
+         stopFinetunePolling() {
+             if (this.finetunePolling) { clearInterval(this.finetunePolling); this.finetunePolling = null; }
+         },
+         startFinetune() {
+             if (!this.activeLabel || this.finetuneStarting) return;
+             this.finetuneStarting = true;
+             fetch('/api/projects/{{ project.id }}/labels/' + this.activeLabel.id + '/finetune', {
+                 method: 'POST',
+                 headers: {'Content-Type': 'application/json'},
+                 body: JSON.stringify({})
+             }).then(r => r.json()).then(data => {
+                 this.finetuneStarting = false;
+                 if (data.error) { alert(data.error); return; }
+                 this.fetchFinetune();
+             }).catch(() => { this.finetuneStarting = false; });
+         },
+         finetuneIsUpToDate() {
+             if (!this.finetune || this.finetune.status !== 'completed') return false;
+             if (!this.finetune.finetuned_at) return false;
+             if (!this.finetune.latest_annotation_at) return true;
+             return this.finetune.finetuned_at >= this.finetune.latest_annotation_at;
+         },
+         runPredictions() {
+             if (!this.activeLabel || this.predicting) return;
+             this.predicting = true;
+             fetch('/api/projects/{{ project.id }}/labels/' + this.activeLabel.id + '/predict', {
+                 method: 'POST',
+                 headers: {'Content-Type': 'application/json'},
+                 body: JSON.stringify({})
+             }).then(r => r.json()).then(data => {
+                 this.predicting = false;
+                 if (data.error) { alert(data.error); return; }
+                 if (this.activeLabel) {
+                     if (data.predicted_at) this.activeLabel.predicted_at = data.predicted_at;
+                     if (data.prediction_stats) this.activeLabel.prediction_stats = data.prediction_stats;
+                 }
+             }).catch(() => { this.predicting = false; });
+         },
+         fetchThreads() {
+             if (!this.activeLabel) { this.threads = []; return Promise.resolve(); }
+             return fetch('/api/projects/{{ project.id }}/labels/' + this.activeLabel.id + '/threads')
+                 .then(r => r.json())
+                 .then(data => { this.threads = data.threads; });
+         },
+         deleteThread() {
+             if (!this.threadToDelete) return;
+             const id = this.threadToDelete.id;
+             fetch('/api/projects/{{ project.id }}/threads/' + id + '/delete', { method: 'POST' })
+                 .then(() => {
+                     this.threads = this.threads.filter(t => t.id !== id);
+                     if (this.activeThread && this.activeThread.id === id) {
+                         this.activeThread = null;
+                         this.chatMessages = [];
+                         this.chatSending = false;
+                     }
+                     this.threadToDelete = null;
+                 });
+         },
+         switchLabel(label) {
+             this.labelDropdownOpen = false;
+             if (this.activeLabel && this.activeLabel.id === label.id) return;
+             this.stopFinetunePolling();
+             this.finetune = null;
+             this.finetuneArgsOpen = false;
+             this.activeLabel = label;
+             this._savedLabelName = label.name;
+             this._savedLabelInstructions = label.instructions || '';
+             this.activeThread = null;
+             this.chatMessages = [];
+             this.chatInput = '';
+             this.threadUsage = null;
+             fetch('/api/projects/{{ project.id }}/labels/' + label.id + '/activate', { method: 'POST' });
+             this.fetchThreads();
+             this.fetchLabelStats();
+             this.fetchFinetune();
+             if (this.activeTab !== 'agent') this.fetchDocs();
+         },
+         createLabel() {
+             const name = this.newLabelName.trim();
+             if (!name) return;
+             fetch('/api/projects/{{ project.id }}/labels/create', {
+                 method: 'POST',
+                 headers: {'Content-Type': 'application/json'},
+                 body: JSON.stringify({name})
+             }).then(r => r.json()).then(label => {
+                 this.labels.push(label);
+                 this.switchLabel(label);
+                 this.newLabelName = '';
+                 this.showCreateLabelModal = false;
+             });
+         },
+         saveLabel() {
+             if (!this.activeLabel) return;
+             fetch('/api/projects/{{ project.id }}/labels/' + this.activeLabel.id + '/rename', {
+                 method: 'POST',
+                 headers: {'Content-Type': 'application/json'},
+                 body: JSON.stringify({name: this.activeLabel.name, instructions: this.activeLabel.instructions || ''})
+             }).then(r => r.json()).then(updated => {
+                 this.activeLabel.name = updated.name;
+                 this.activeLabel.instructions = updated.instructions;
+                 this._savedLabelName = updated.name;
+                 this._savedLabelInstructions = updated.instructions || '';
+                 const idx = this.labels.findIndex(l => l.id === updated.id);
+                 if (idx !== -1) {
+                     this.labels[idx].name = updated.name;
+                     this.labels[idx].instructions = updated.instructions;
+                 }
+                 this.editingLabelInstructions = false;
+             });
+         },
+         saveProject() {
+             const name = this.projectName.trim();
+             if (!name) return;
+             fetch('/api/projects/{{ project.id }}/update', {
+                 method: 'POST',
+                 headers: {'Content-Type': 'application/json'},
+                 body: JSON.stringify({
+                     name,
+                     instructions: this.projectInstructions,
+                 })
+             }).then(r => r.json()).then(updated => {
+                 this.projectName = updated.name;
+                 this.projectInstructions = updated.instructions;
+                 this._savedProjectName = updated.name;
+                 this._savedProjectInstructions = updated.instructions;
+                 this.editingInstructions = false;
+             });
+         },
+         fetchPrompts() {
+             fetch('/api/projects/{{ project.id }}/prompts')
+                 .then(r => r.json())
+                 .then(data => { this.prompts = data.prompts; });
+         },
+         fetchTasks() {
+             this.tasksLoading = true;
+             fetch('/api/projects/{{ project.id }}/tasks/update', { method: 'POST' })
+                 .then(r => r.json())
+                 .then(data => { this.tasks = data.tasks; this.tasksLoading = false; })
+                 .catch(() => { this.tasksLoading = false; });
+         },
+         fetchTasksQuiet() {
+             fetch('/api/projects/{{ project.id }}/tasks')
+                 .then(r => r.json())
+                 .then(data => { this.tasks = data.tasks; });
+         },
+         navigateToTask(task) {
+             const targetLabelId = task.label ? task.label.id : (this.activeLabel ? this.activeLabel.id : null);
+             if (!targetLabelId) return;
+             const label = this.labels.find(l => l.id === targetLabelId);
+             if (!label) return;
+             if (!this.activeLabel || this.activeLabel.id !== label.id) {
+                 this.activeLabel = label;
+                 this._savedLabelName = label.name;
+                 this._savedLabelInstructions = label.instructions || '';
+                 this.activeThread = null;
+                 this.chatMessages = [];
+                 this.threadUsage = null;
+                 fetch('/api/projects/{{ project.id }}/labels/' + label.id + '/activate', { method: 'POST' });
+                 this.fetchLabelStats();
+             }
+             this.activeTab = 'agent';
+             this.fetchThreads().then(() => {
+                 const apThread = this.threads.find(t => t.is_autopilot);
+                 if (apThread) this.selectThread(apThread);
+             });
+         },
+         savePrompt(prompt) {
+             fetch('/api/projects/{{ project.id }}/prompts/' + prompt.id + '/update', {
+                 method: 'POST',
+                 headers: {'Content-Type': 'application/json'},
+                 body: JSON.stringify({ content: prompt.content })
+             }).then(r => r.json()).then(updated => {
+                 const idx = this.prompts.findIndex(p => p.id === updated.id);
+                 if (idx >= 0) this.prompts[idx] = updated;
+                 if (this.editingPrompt === prompt.id) this.editingPrompt = null;
+             });
+         },
+         resetPrompt(prompt) {
+             fetch('/api/projects/{{ project.id }}/prompts/' + prompt.id + '/reset', {
+                 method: 'POST'
+             }).then(r => r.json()).then(updated => {
+                 const idx = this.prompts.findIndex(p => p.id === updated.id);
+                 if (idx >= 0) this.prompts[idx] = updated;
+                 this.promptResetTarget = null;
+             });
+         },
+         createPrompt() {
+             const name = this.newPromptName.trim();
+             if (!name) return;
+             fetch('/api/projects/{{ project.id }}/prompts/create', {
+                 method: 'POST',
+                 headers: {'Content-Type': 'application/json'},
+                 body: JSON.stringify({ name })
+             }).then(r => r.json()).then(prompt => {
+                 this.prompts.push(prompt);
+                 this.newPromptName = '';
+                 this.showCreatePromptModal = false;
+                 this.editingPrompt = prompt.id;
+             });
+         },
+         deletePrompt(prompt) {
+             fetch('/api/projects/{{ project.id }}/prompts/' + prompt.id + '/delete', {
+                 method: 'POST'
+             }).then(() => {
+                 this.prompts = this.prompts.filter(p => p.id !== prompt.id);
+                 this.promptDeleteTarget = null;
+             });
+         },
+         confirmDanger(action) {
+             this.dangerAction = action;
+             this.dangerConfirmText = '';
+         },
+         executeDanger() {
+             if (!this.dangerAction) return;
+             if (this.dangerAction === 'deleteProject') {
+                 fetch('/api/projects/{{ project.id }}/delete', { method: 'POST' })
+                     .then(() => { window.location.href = '/'; });
+             } else if (this.dangerAction === 'deleteLabel' && this.activeLabel) {
+                 const labelId = this.activeLabel.id;
+                 fetch('/api/projects/{{ project.id }}/labels/' + labelId + '/delete', { method: 'POST' })
+                     .then(() => {
+                         this.dangerAction = null;
+                         this.labels = this.labels.filter(l => l.id !== labelId);
+                         this.activeLabel = this.labels[0] || null;
+                         if (this.activeLabel) this.fetchThreads();
+                         else { this.threads = []; this.activeThread = null; this.chatMessages = []; }
+                     });
+             }
+         }
+     }"
+     x-init="fetchDocs(); fetchLabels(); fetchPrompts(); fetchTasks();
+              setInterval(() => { if (!autopilotEnabled) return; fetchTasksQuiet(); fetch('/api/projects/{{ project.id }}/labels').then(r => r.json()).then(data => { for (const l of data.labels) { const existing = labels.find(x => x.id === l.id); if (existing) { existing.stats = l.stats; existing.instructions = l.instructions; existing.name = l.name; existing.finetune_status = l.finetune_status; existing.finetuned_at = l.finetuned_at; existing.predicted_at = l.predicted_at; existing.prediction_stats = l.prediction_stats; } } if (!labels.some(l => data.labels.find(d => d.id === l.id)) || data.labels.length !== labels.length) { labels = data.labels; } if (activeLabel) { const updated = data.labels.find(l => l.id === activeLabel.id); if (updated) { activeLabel.stats = updated.stats; labelStats = updated.stats; const labelDirty = activeLabel.name !== _savedLabelName || (activeLabel.instructions || '') !== _savedLabelInstructions; if (!labelDirty) { activeLabel.name = updated.name; activeLabel.instructions = updated.instructions; } _savedLabelName = updated.name; _savedLabelInstructions = updated.instructions || ''; } } }); fetch('/api/projects/{{ project.id }}/update', { method: 'POST', headers: {'Content-Type': 'application/json'}, body: JSON.stringify({}) }).then(r => r.json()).then(p => { const projDirty = projectName !== _savedProjectName || projectInstructions !== _savedProjectInstructions; if (!projDirty) { projectName = p.name; projectInstructions = p.instructions; } _savedProjectName = p.name; _savedProjectInstructions = p.instructions; }); if (activeThread && activeThread.is_autopilot) { const tid = activeThread.id; fetch('/api/projects/{{ project.id }}/threads/' + tid + '/messages').then(r => r.json()).then(data => { if (activeThread && activeThread.id === tid) { const newMsgs = data.messages.map(m => m.data).filter(d => d.role !== 'system'); const changed = JSON.stringify(newMsgs) !== JSON.stringify(chatMessages); if (changed) { chatMessages = newMsgs; $nextTick(() => { scrollChat(); }); } threadUsage = data.usage; activeThread.autopilot_locked = data.autopilot_locked; } }); } }, 5000)"
+     class="flex-1 min-h-0 flex flex-col bg-slate-950">
+
+    <!-- Page-level navbar -->
+    <nav class="h-12 shrink-0 border-b border-slate-800 flex items-stretch px-5">
+        <!-- Project name -->
+        <div class="flex items-center shrink-0 mr-6">
+            <a href="/" class="text-slate-500 hover:text-slate-300 transition-colors mr-3" title="All Projects">
+                <i class="fas fa-chevron-left text-[10px]"></i>
+            </a>
+            <span class="text-sm font-semibold text-slate-200 truncate" x-text="projectName"></span>
+        </div>
+        <!-- Tabs (centered) -->
+        <div class="flex-1 flex items-stretch justify-center gap-3">
+            <template x-for="tab in [
+                {id: 'overview', icon: 'fa-list-check', label: 'Overview'},
+                {id: 'search', icon: 'fa-search', label: 'Search'},
+                {id: 'agent', icon: 'fa-robot', label: 'Agent'},
+                {id: 'settings', icon: 'fa-gear', label: 'Settings'}
+            ]" :key="tab.id">
+                <button @click="activeTab = tab.id; settingsSection = 'project'; if (activeLabel) { activeLabel.name = _savedLabelName; activeLabel.instructions = _savedLabelInstructions || ''; } projectName = _savedProjectName; projectInstructions = _savedProjectInstructions;"
+                        class="px-4 text-xs font-medium flex items-center gap-1.5 border-b-2 transition-colors"
+                        :class="activeTab === tab.id
+                            ? 'border-indigo-400 text-indigo-400'
+                            : 'border-transparent text-slate-500 hover:text-slate-300 hover:border-slate-600'">
+                    <i class="fas" :class="tab.icon"></i>
+                    <span x-text="tab.label"></span>
+                </button>
+            </template>
+        </div>
+        <!-- Autopilot toggle -->
+        <div class="flex items-center shrink-0 ml-6">
+            <button @click="fetch('/api/projects/{{ project.id }}/autopilot/toggle', { method: 'POST' }).then(r => r.json()).then(data => { autopilotEnabled = data.autopilot_enabled; })"
+                    class="flex items-center gap-1.5 px-3 py-1 text-xs font-medium rounded-md border transition-colors"
+                    :class="autopilotEnabled
+                        ? 'bg-amber-600/20 border-amber-600/50 text-amber-400 hover:bg-amber-600/30'
+                        : 'bg-slate-800 border-slate-700 text-slate-500 hover:bg-slate-700 hover:text-slate-300'">
+                <i class="fas fa-circle-play text-[10px]"></i>
+                <span>Autopilot</span>
+            </button>
+        </div>
+    </nav>
+
+    <!-- Three-column layout -->
+    <div class="grid grid-cols-[280px_1fr_340px] flex-1 min-h-0">
+        <!-- Left sidebar -->
+        <aside class="border-r border-slate-800 flex flex-col min-h-0">
+
+            <!-- Agent tab: Thread history -->
+            <div x-show="activeTab === 'agent'" class="flex-1 flex flex-col min-h-0 scrollable-panel scrollable-dark">
+                <!-- Thread list -->
+                <template x-for="thread in threads" :key="thread.id">
+                    <div @click="selectThread(thread)"
+                         class="w-full px-4 py-3 text-left border-b border-slate-800/60 hover:bg-slate-800/50 transition-colors cursor-pointer flex items-center gap-2"
+                         :class="[
+                             activeThread && activeThread.id === thread.id ? 'bg-slate-800/50 border-l-2 border-l-indigo-500' : '',
+                             thread.is_autopilot ? 'border-b-slate-700' : ''
+                         ]">
+                        <div class="flex-1 min-w-0">
+                            <div class="flex items-center gap-1.5">
+                                <i x-show="thread.is_autopilot" class="fas fa-circle-play text-[10px] text-amber-500"></i>
+                                <p class="text-xs truncate"
+                                   :class="thread.is_autopilot ? 'text-amber-400 font-medium' : 'text-slate-300'"
+                                   x-text="thread.is_autopilot ? 'Autopilot' : (thread.preview || 'New chat')"></p>
+                            </div>
+                            <p class="text-xs text-slate-500 mt-0.5" x-text="thread.model"></p>
+                        </div>
+                        <button x-show="!thread.is_autopilot" @click.stop="threadToDelete = thread"
+                                class="shrink-0 text-slate-600 hover:text-red-400 transition-colors">
+                            <i class="fas fa-xmark text-xs"></i>
+                        </button>
+                    </div>
+                </template>
+                <div x-show="threads.length === 0" class="px-4 py-6 text-center">
+                    <span class="text-xs text-slate-600">No threads yet</span>
+                </div>
+            </div>
+
+            <!-- Settings tab: Section nav -->
+            <div x-show="activeTab === 'settings'" x-cloak class="flex-1 flex flex-col min-h-0 p-4">
+                <h3 class="text-xs font-semibold text-slate-500 uppercase tracking-wider mb-3">Settings</h3>
+                <div class="space-y-1">
+                    <template x-for="sec in [
+                        {id: 'project', icon: 'fa-folder', label: 'Project Settings'},
+                        {id: 'label', icon: 'fa-tag', label: 'Label Settings'},
+                        {id: 'prompts', icon: 'fa-bolt', label: 'Prompts'},
+                        {id: 'danger', icon: 'fa-triangle-exclamation', label: 'Danger Zone'}
+                    ]" :key="sec.id">
+                        <button @click="settingsSection = sec.id; if (activeLabel) { activeLabel.name = _savedLabelName; activeLabel.instructions = _savedLabelInstructions || ''; } projectName = _savedProjectName; projectInstructions = _savedProjectInstructions;"
+                                class="w-full text-left px-3 py-2 text-xs rounded-md transition-colors flex items-center gap-2"
+                                :class="settingsSection === sec.id
+                                    ? (sec.id === 'danger' ? 'bg-red-950/30 text-red-400' : 'bg-slate-800 text-indigo-400')
+                                    : (sec.id === 'danger' ? 'text-red-400/60 hover:bg-slate-800/50 hover:text-red-400' : 'text-slate-400 hover:bg-slate-800/50 hover:text-slate-200')">
+                            <i class="fas text-[10px]" :class="sec.icon"></i>
+                            <span x-text="sec.label"></span>
+                        </button>
+                    </template>
+                </div>
+            </div>
+
+            <!-- Overview tab: empty left sidebar -->
+            <div x-show="activeTab === 'overview'" x-cloak class="flex-1 flex flex-col min-h-0">
+            </div>
+
+            <!-- Search tab: Filters panel -->
+            <div x-show="activeTab === 'search'" x-cloak class="p-4 scrollable-panel scrollable-dark">
+                <h3 class="text-xs font-semibold text-slate-500 uppercase tracking-wider mb-3">Filters</h3>
+                <div class="flex items-center justify-between mb-1">
+                    <label class="text-xs font-medium text-slate-500">Query</label>
+                    <button @click="showQueryHelp = !showQueryHelp"
+                            class="text-slate-500 hover:text-slate-300 transition-colors"
+                            title="Query syntax help">
+                        <i class="fas fa-circle-info text-xs"></i>
+                    </button>
+                </div>
+                <div x-show="showQueryHelp" x-cloak
+                     class="mb-2 p-2.5 bg-slate-800 border border-slate-700 rounded-md text-xs text-slate-400 leading-relaxed">
+                    <p class="font-medium text-slate-300 mb-1">Query syntax</p>
+                    <div class="space-y-0.5">
+                        <p><code class="text-slate-200">,</code> AND</p>
+                        <p><code class="text-slate-200">|</code> OR</p>
+                        <p><code class="text-slate-200">~</code> NOT</p>
+                        <p><code class="text-slate-200">^</code> STARTS WITH</p>
+                        <p><code class="text-slate-200">( )</code> grouping</p>
+                    </div>
+                    <p class="mt-1.5 text-slate-500">Example: <code class="text-slate-300">foo, bar | baz</code> matches <em>foo</em> AND (<em>bar</em> OR <em>baz</em>)</p>
+                </div>
+                <textarea x-model="queryString"
+                          @keydown.enter="if (!$event.shiftKey) { $event.preventDefault(); search(); }"
+                          @input="$el.style.height = 'auto'; $el.style.height = $el.scrollHeight + 'px'"
+                          rows="1"
+                          placeholder="e.g. foo, bar | baz"
+                          class="w-full bg-slate-800 border border-slate-700 rounded-md px-2.5 py-1.5 text-sm text-slate-200 focus:outline-none focus:ring-1 focus:ring-indigo-500 focus:border-indigo-500 mb-4 resize-none overflow-hidden placeholder:text-slate-600"></textarea>
+                <label class="text-xs font-medium text-slate-500 mb-1.5 block">Annotations</label>
+                <button @click="filterLabelOnly = !filterLabelOnly; if (!filterLabelOnly) { filterAnnotation = null; filterPrediction = null; } search()"
+                        class="w-full px-3 py-1.5 text-xs font-medium rounded-md border transition-colors flex items-center justify-center gap-1.5"
+                        :class="filterLabelOnly || filterAnnotation ? 'bg-teal-600 border-teal-600 text-white hover:bg-teal-500 hover:border-teal-500' : 'bg-slate-800 border-slate-700 text-slate-400 hover:bg-slate-700 hover:text-slate-200'">
+                    <i class="fas fa-tag text-[10px]"></i> Train Examples
+                </button>
+                <div class="flex rounded-md overflow-hidden ring-1 ring-slate-700 mt-2">
+                    <template x-for="(opt, idx) in ['yes', 'no', 'skip', 'none', 'any']" :key="opt">
+                        <button @click="filterAnnotation = filterAnnotation === opt ? null : opt; if (filterAnnotation) { filterLabelOnly = true; filterPrediction = null; } search()"
+                                class="flex-1 px-2 py-1.5 text-xs font-medium transition-colors capitalize"
+                                :class="[
+                                    filterAnnotation === opt
+                                        ? (opt === 'yes' ? 'bg-emerald-600 text-white' : opt === 'no' ? 'bg-red-600 text-white' : opt === 'skip' ? 'bg-amber-600 text-white' : opt === 'any' ? 'bg-indigo-600 text-white' : 'bg-slate-600 text-white')
+                                        : 'bg-slate-800 text-slate-400 hover:bg-slate-700 hover:text-slate-200',
+                                    idx < 4 ? 'border-r border-slate-700' : ''
+                                ]"
+                                x-text="opt">
+                        </button>
+                    </template>
+                </div>
+                <label class="text-xs font-medium text-slate-500 mb-1.5 mt-4 block">Predictions</label>
+                <div class="flex rounded-md overflow-hidden ring-1 ring-slate-700">
+                    <template x-for="(opt, idx) in ['yes', 'no', 'any', 'disagree']" :key="opt">
+                        <button @click="filterPrediction = filterPrediction === opt ? null : opt; if (filterPrediction) { filterLabelOnly = true; filterAnnotation = null; } search()"
+                                class="flex-1 px-2 py-1.5 text-xs font-medium transition-colors capitalize"
+                                :class="[
+                                    filterPrediction === opt
+                                        ? (opt === 'yes' ? 'bg-emerald-600 text-white' : opt === 'no' ? 'bg-red-600 text-white' : opt === 'disagree' ? 'bg-orange-600 text-white' : 'bg-indigo-600 text-white')
+                                        : 'bg-slate-800 text-slate-400 hover:bg-slate-700 hover:text-slate-200',
+                                    idx < 3 ? 'border-r border-slate-700' : ''
+                                ]"
+                                x-text="opt">
+                        </button>
+                    </template>
+                </div>
+                <button @click="search()"
+                        class="w-full mt-6 px-3 py-1.5 text-xs font-medium rounded-md bg-indigo-600 text-white hover:bg-indigo-500 transition-colors">
+                    <i class="fas fa-search mr-1"></i> Search
+                </button>
+            </div>
+        </aside>
+
+        <!-- Center column -->
+        <div class="flex flex-col min-h-0">
+            <!-- Tab: Agent (Chat) -->
+            <div x-show="activeTab === 'agent'" class="flex-1 flex flex-col min-h-0 bg-slate-900 relative">
+                <!-- Thread usage stats (floating) -->
+                <div x-show="threadUsage && threadUsage.total_tokens > 0" x-cloak
+                     class="absolute top-3 left-3 z-10 px-2.5 py-1 text-[11px] rounded-md bg-slate-800/90 text-slate-500 shadow-md border border-slate-700 flex items-center gap-2">
+                    <span x-text="(threadUsage?.total_tokens || 0).toLocaleString() + ' tok'"></span>
+                    <span class="text-slate-700">|</span>
+                    <span x-text="'$' + (threadUsage?.total_cost || 0).toFixed(4)"></span>
+                </div>
+                <!-- Floating action buttons (top-right) -->
+                <div x-show="activeThread" class="absolute top-3 right-3 z-10 flex items-center gap-1.5">
+                    <button @click="if (!chatSending) { chatSending = true; _doSend('Compact your memory now. Write a detailed summary of our conversation.'); }"
+                            :disabled="chatSending"
+                            class="px-2.5 py-1 text-xs rounded-md bg-slate-800 text-slate-400 hover:bg-slate-700 hover:text-slate-200 transition-colors shadow-md border border-slate-700 disabled:opacity-50 disabled:cursor-not-allowed"
+                            title="Compact memory">
+                        <i class="fas fa-broom text-[10px] mr-1"></i> Compact
+                    </button>
+                    <button @click="activeThread = null; chatMessages = []; chatSending = false; threadUsage = null"
+                            class="px-2.5 py-1 text-xs rounded-md bg-slate-800 text-slate-400 hover:bg-slate-700 hover:text-slate-200 transition-colors shadow-md border border-slate-700"
+                            title="New thread">
+                        <i class="fas fa-plus text-[10px] mr-1"></i> New thread
+                    </button>
+                </div>
+                <!-- Chat messages -->
+                <div id="chat-scroll" class="flex-1 overflow-y-auto px-4 pb-4 pt-12 scrollable-panel scrollable-dark">
+                    <div x-show="chatMessages.length === 0 && !chatSending" class="flex items-center justify-center h-full">
+                        <span class="text-sm text-slate-600">Start a conversation</span>
+                    </div>
+                    <div class="space-y-4">
+                        <template x-for="(msg, i) in chatMessages" :key="i">
+                            <div>
+                                <!-- User message -->
+                                <template x-if="msg.role === 'user'">
+                                    <div class="flex justify-end">
+                                        <div class="max-w-[80%] rounded-lg px-4 py-2.5 bg-indigo-600 text-white">
+                                            <div class="text-sm prose-chat prose-chat-white" x-html="renderMarkdown(msg.content)"></div>
+                                        </div>
+                                    </div>
+                                </template>
+
+                                <!-- Assistant message with content -->
+                                <template x-if="msg.role === 'assistant' && msg.content">
+                                    <div class="flex justify-start">
+                                        <div class="max-w-[80%]">
+                                            <!-- Thinking block (collapsible) -->
+                                            <template x-if="msg.reasoning_content">
+                                                <div class="mb-1.5" x-data="{ expanded: false }">
+                                                    <button @click="expanded = !expanded"
+                                                            class="flex items-center gap-1.5 text-xs text-slate-500 hover:text-slate-300 transition-colors mb-1">
+                                                        <i class="fas fa-lightbulb text-[10px]"></i>
+                                                        <span>Thinking</span>
+                                                        <i class="fas text-[10px]" :class="expanded ? 'fa-chevron-up' : 'fa-chevron-down'"></i>
+                                                    </button>
+                                                    <div x-show="expanded" x-cloak
+                                                         class="bg-amber-950/30 border border-amber-800/40 rounded-md px-3 py-2 max-h-48 overflow-y-auto">
+                                                        <p class="text-xs text-amber-200/80 whitespace-pre-wrap" x-text="msg.reasoning_content"></p>
+                                                    </div>
+                                                </div>
+                                            </template>
+                                            <div class="rounded-lg px-4 py-2.5 bg-slate-800 text-slate-200">
+                                                <div class="text-sm prose-chat prose-chat-dark" x-html="renderMarkdown(msg.content)"></div>
+                                            </div>
+                                        </div>
+                                    </div>
+                                </template>
+
+                                <!-- Assistant tool calls (may also have thinking) -->
+                                <template x-if="msg.role === 'assistant' && msg.tool_calls">
+                                    <div class="flex justify-start">
+                                        <div class="max-w-[80%] space-y-1.5">
+                                            <!-- Thinking block before tool calls -->
+                                            <template x-if="msg.reasoning_content">
+                                                <div x-data="{ expanded: false }">
+                                                    <button @click="expanded = !expanded"
+                                                            class="flex items-center gap-1.5 text-xs text-slate-500 hover:text-slate-300 transition-colors mb-1">
+                                                        <i class="fas fa-lightbulb text-[10px]"></i>
+                                                        <span>Thinking</span>
+                                                        <i class="fas text-[10px]" :class="expanded ? 'fa-chevron-up' : 'fa-chevron-down'"></i>
+                                                    </button>
+                                                    <div x-show="expanded" x-cloak
+                                                         class="bg-amber-950/30 border border-amber-800/40 rounded-md px-3 py-2 max-h-48 overflow-y-auto">
+                                                        <p class="text-xs text-amber-200/80 whitespace-pre-wrap" x-text="msg.reasoning_content"></p>
+                                                    </div>
+                                                </div>
+                                            </template>
+                                            <template x-for="tc in msg.tool_calls" :key="tc.id">
+                                                <div>
+                                                    <!-- AskUser tool call -->
+                                                    <template x-if="tc.function.name === 'AskUser'">
+                                                        <div x-data="{ customAnswer: '' }" class="bg-teal-950/40 border border-teal-800/40 rounded-lg px-4 py-3 text-left">
+                                                            <p class="text-sm font-medium text-slate-200 mb-3" x-text="JSON.parse(tc.function.arguments).question"></p>
+                                                            <div class="flex flex-col gap-1.5 items-start mb-3">
+                                                                <template x-for="opt in JSON.parse(tc.function.arguments).options" :key="opt">
+                                                                    <button @click="chatInput = (chatInput ? chatInput + '\n' : '') + 'Q: ' + JSON.parse(tc.function.arguments).question + '\nA: ' + opt; $nextTick(() => { const ta = document.querySelector('#chat-input'); if (ta) { ta.style.height = 'auto'; ta.style.height = ta.scrollHeight + 'px'; } })"
+                                                                            class="px-3 py-1.5 text-xs text-left rounded-md border border-teal-700/50 bg-teal-900/30 text-teal-300 hover:bg-teal-800/40 transition-colors">
+                                                                        <span x-text="opt"></span>
+                                                                    </button>
+                                                                </template>
+                                                            </div>
+                                                            <label class="block text-xs text-slate-400 mb-1">Something else</label>
+                                                            <div class="flex gap-2">
+                                                                <input type="text" x-model="customAnswer"
+                                                                       @keydown.enter.prevent="if (customAnswer.trim()) { chatInput = (chatInput ? chatInput + '\n' : '') + 'Q: ' + JSON.parse(tc.function.arguments).question + '\nA: ' + customAnswer.trim(); customAnswer = ''; $nextTick(() => { const ta = document.querySelector('#chat-input'); if (ta) { ta.style.height = 'auto'; ta.style.height = ta.scrollHeight + 'px'; } }); }"
+                                                                       placeholder="Type your answer..."
+                                                                       class="flex-1 bg-slate-800/60 border border-slate-700/50 rounded-md px-2.5 py-1.5 text-xs text-slate-200 placeholder:text-slate-600 focus:outline-none focus:ring-1 focus:ring-teal-500 focus:border-teal-500">
+                                                                <button @click="if (customAnswer.trim()) { chatInput = (chatInput ? chatInput + '\n' : '') + 'Q: ' + JSON.parse(tc.function.arguments).question + '\nA: ' + customAnswer.trim(); customAnswer = ''; $nextTick(() => { const ta = document.querySelector('#chat-input'); if (ta) { ta.style.height = 'auto'; ta.style.height = ta.scrollHeight + 'px'; } }); }"
+                                                                        class="px-2.5 py-1.5 text-xs rounded-md bg-teal-700/40 text-teal-300 hover:bg-teal-600/40 transition-colors">
+                                                                    <i class="fas fa-arrow-right text-[10px]"></i>
+                                                                </button>
+                                                            </div>
+                                                        </div>
+                                                    </template>
+                                                    <!-- Other tool calls -->
+                                                    <template x-if="tc.function.name !== 'AskUser'">
+                                                        <div x-data="{ expanded: false }" class="bg-slate-800/50 border border-slate-700/50 rounded-md">
+                                                            <button @click="expanded = !expanded" class="w-full flex items-center gap-2 text-xs px-3 py-2 hover:bg-slate-700/30 transition-colors rounded-md">
+                                                                <i class="fas fa-wrench text-slate-500 text-[10px]"></i>
+                                                                <span class="font-medium text-slate-300" x-text="tc.function.name"></span>
+                                                                <i class="fas text-[10px] text-slate-500 ml-auto" :class="expanded ? 'fa-chevron-up' : 'fa-chevron-down'"></i>
+                                                            </button>
+                                                            <div x-show="expanded" x-cloak class="px-3 pb-2">
+                                                                <pre class="text-xs text-slate-400 whitespace-pre-wrap bg-slate-900/50 rounded px-2.5 py-2 max-h-48 overflow-y-auto" x-text="JSON.stringify(JSON.parse(tc.function.arguments), null, 2)"></pre>
+                                                            </div>
+                                                        </div>
+                                                    </template>
+                                                </div>
+                                            </template>
+                                        </div>
+                                    </div>
+                                </template>
+
+                                <!-- CompactMemory summary -->
+                                <template x-if="msg.role === 'tool' && msg.name === 'CompactMemory'">
+                                    <div class="flex justify-center my-2">
+                                        <div x-data="{ expanded: false }" class="max-w-[90%] w-full">
+                                            <button @click="expanded = !expanded"
+                                                    class="w-full flex items-center justify-center gap-2 py-1.5 text-xs text-slate-500 hover:text-slate-300 transition-colors">
+                                                <div class="flex-1 border-t border-slate-700/50"></div>
+                                                <i class="fas fa-broom text-[10px]"></i>
+                                                <span>Memory compacted</span>
+                                                <i class="fas text-[10px]" :class="expanded ? 'fa-chevron-up' : 'fa-chevron-down'"></i>
+                                                <div class="flex-1 border-t border-slate-700/50"></div>
+                                            </button>
+                                            <div x-show="expanded" x-cloak
+                                                 class="mt-1 bg-slate-800/60 border border-slate-700/40 rounded-lg px-4 py-3">
+                                                <div class="text-xs text-slate-400 prose-chat prose-chat-dark max-h-64 overflow-y-auto"
+                                                     x-html="renderMarkdown(msg.content || '')"></div>
+                                            </div>
+                                        </div>
+                                    </div>
+                                </template>
+
+                                <!-- Tool response (hide AskUser and CompactMemory responses) -->
+                                <template x-if="msg.role === 'tool' && msg.name !== 'AskUser' && msg.name !== 'CompactMemory'">
+                                    <div class="flex justify-start">
+                                        <div class="max-w-[80%] bg-slate-800/50 border border-slate-700/50 rounded-md px-3 py-2">
+                                            <div class="flex items-center gap-1.5 mb-1">
+                                                <i class="fas fa-reply text-slate-500 text-[10px]"></i>
+                                                <span class="text-xs font-medium text-slate-400" x-text="msg.name"></span>
+                                            </div>
+                                            <p class="text-xs text-slate-400 whitespace-pre-wrap max-h-32 overflow-y-auto" x-text="msg.content"></p>
+                                        </div>
+                                    </div>
+                                </template>
+                            </div>
+                        </template>
+                        <div x-show="chatSending" class="flex justify-start">
+                            <div class="bg-slate-800 rounded-lg px-4 py-2.5">
+                                <span class="text-sm text-slate-400"><i class="fas fa-spinner fa-spin mr-1"></i> Thinking...</span>
+                            </div>
+                        </div>
+                    </div>
+                </div>
+                <!-- Autopilot lock banner -->
+                <div x-show="activeThread && activeThread.autopilot_locked" x-cloak
+                     class="shrink-0 px-4 py-2 bg-amber-950/30 border-b border-amber-800/30 text-center">
+                    <span class="text-xs text-amber-400">
+                        <i class="fas fa-lock mr-1"></i>
+                        Autopilot is working on this thread. Chat is temporarily disabled.
+                    </span>
+                </div>
+                <!-- Chat input -->
+                <div class="shrink-0 px-4 pb-4 pt-2" :class="activeThread && activeThread.autopilot_locked ? 'opacity-50 pointer-events-none' : ''">
+                    <div class="border border-slate-700 rounded-lg bg-slate-800 focus-within:ring-1 focus-within:ring-indigo-500 focus-within:border-indigo-500 flex flex-col">
+                        <div class="max-h-40 overflow-y-auto">
+                            <textarea id="chat-input"
+                                      x-model="chatInput"
+                                      @keydown.enter="if (!$event.shiftKey) { $event.preventDefault(); sendMessage(); }"
+                                      @input="const wrap = $el.parentElement; const st = wrap.scrollTop; $el.style.height = 'auto'; $el.style.height = $el.scrollHeight + 'px'; wrap.scrollTop = st"
+                                      rows="1"
+                                      placeholder="Send a message..."
+                                      :disabled="activeThread && activeThread.autopilot_locked"
+                                      class="w-full px-3 pt-2.5 pb-1 text-sm text-slate-200 resize-none overflow-hidden focus:outline-none bg-transparent placeholder:text-slate-600"></textarea>
+                        </div>
+                        <div class="flex items-center justify-between px-2 pb-2">
+                            <!-- Model selector -->
+                            <div class="relative">
+                                <button @click="modelDropdownOpen = !modelDropdownOpen"
+                                        class="flex items-center gap-1 px-2 py-1 text-xs text-slate-500 hover:text-slate-300 rounded transition-colors">
+                                    <i class="fas fa-microchip"></i>
+                                    <span x-text="selectedModel.split('/').pop()"></span>
+                                    <i class="fas fa-chevron-down text-[10px]"></i>
+                                </button>
+                                <div x-show="modelDropdownOpen" x-cloak
+                                     @click.outside="modelDropdownOpen = false"
+                                     class="absolute bottom-full left-0 mb-1 bg-slate-800 border border-slate-700 rounded-lg shadow-lg z-20 min-w-[220px] max-h-48 overflow-y-auto">
+                                    <template x-for="mid in modelIds" :key="mid">
+                                        <button @click="selectedModel = mid; modelDropdownOpen = false"
+                                                class="w-full text-left px-3 py-2 text-xs hover:bg-slate-700 transition-colors flex items-center gap-2"
+                                                :class="selectedModel === mid ? 'text-indigo-400 font-medium' : 'text-slate-300'">
+                                            <i class="fas fa-check text-[10px]" :class="selectedModel === mid ? 'text-indigo-400' : 'invisible'"></i>
+                                            <span x-text="mid"></span>
+                                        </button>
+                                    </template>
+                                </div>
+                            </div>
+                            <!-- Prompt selector & Send button -->
+                            <div class="flex items-center gap-1.5">
+                                <div class="relative">
+                                    <button @click="promptDropdownOpen = !promptDropdownOpen"
+                                            class="w-7 h-7 flex items-center justify-center rounded-md text-slate-500 hover:text-slate-300 hover:bg-slate-700 transition-colors"
+                                            title="Insert prompt">
+                                        <i class="fas fa-bolt text-xs"></i>
+                                    </button>
+                                    <div x-show="promptDropdownOpen" x-cloak
+                                         @click.outside="promptDropdownOpen = false"
+                                         class="absolute bottom-full right-0 mb-1 bg-slate-800 border border-slate-700 rounded-lg shadow-lg z-20 min-w-[200px] max-h-48 overflow-y-auto">
+                                        <template x-for="prompt in prompts" :key="prompt.id">
+                                            <button @click="chatInput = prompt.content; promptDropdownOpen = false; $nextTick(() => { const ta = document.getElementById('chat-input'); if (ta) { ta.style.height = 'auto'; ta.style.height = ta.scrollHeight + 'px'; } })"
+                                                    class="w-full text-left px-3 py-2 text-xs text-slate-300 hover:bg-slate-700 transition-colors">
+                                                <span x-text="prompt.name"></span>
+                                            </button>
+                                        </template>
+                                        <div x-show="prompts.length === 0" class="px-3 py-2 text-xs text-slate-500">No prompts</div>
+                                    </div>
+                                </div>
+                                <button @click="sendMessage()"
+                                        :disabled="!chatInput.trim() || chatSending"
+                                        class="w-7 h-7 flex items-center justify-center rounded-md transition-colors"
+                                        :class="chatInput.trim() && !chatSending ? 'bg-indigo-600 text-white hover:bg-indigo-500' : 'bg-slate-700 text-slate-500 cursor-not-allowed'">
+                                    <i class="fas fa-arrow-up text-xs"></i>
+                                </button>
+                            </div>
+                        </div>
+                    </div>
+                </div>
+            </div>
+
+            <!-- Tab: Search -->
+            <div x-show="activeTab === 'search'" x-cloak class="flex-1 flex flex-col min-h-0 bg-slate-900 relative">
+                <!-- Count (floating top-left) -->
+                <div class="absolute top-3 left-3 z-10">
+                    <div x-show="totalCount !== null"
+                         class="px-2.5 py-1 text-[11px] rounded-md bg-slate-800/90 text-slate-500 shadow-md border border-slate-700">
+                        <span x-text="(totalCount ?? 0).toLocaleString()"></span> document<span x-show="totalCount !== 1">s</span>
+                    </div>
+                    <button x-show="totalCount === null && !countLoading"
+                            @click="fetchCount()"
+                            class="px-2.5 py-1 text-[11px] rounded-md bg-slate-800/90 text-slate-400 hover:bg-slate-700 hover:text-slate-200 transition-colors shadow-md border border-slate-700">
+                        <i class="fas fa-calculator mr-1"></i> Get count
+                    </button>
+                    <span x-show="countLoading"
+                          class="px-2.5 py-1 text-[11px] rounded-md bg-slate-800/90 text-slate-500 shadow-md border border-slate-700 inline-block">
+                        <i class="fas fa-spinner fa-spin mr-1"></i> Counting...
+                    </span>
+                </div>
+                <!-- Sort + Pagination (floating top-right) -->
+                <div class="absolute top-3 right-3 z-10 flex items-center gap-1.5">
+                    <!-- Sort dropdown -->
+                    <div class="relative">
+                        <button @click="sortDropdownOpen = !sortDropdownOpen"
+                                class="px-2.5 py-1 text-[11px] font-medium rounded-md bg-slate-800/90 shadow-md border border-slate-700 text-slate-400 hover:text-slate-200 transition-colors flex items-center gap-1.5">
+                            <i class="fas fa-arrow-down-short-wide text-[9px]"></i>
+                            <span x-text="sortOrder === 'shuffle' ? 'Shuffle' : 'Tricky'"></span>
+                            <i class="fas fa-chevron-down text-[8px] text-slate-600"></i>
+                        </button>
+                        <div x-show="sortDropdownOpen" x-cloak
+                             @click.outside="sortDropdownOpen = false"
+                             class="absolute top-full right-0 mt-1 bg-slate-800 border border-slate-700 rounded-md shadow-lg overflow-hidden min-w-[100px]">
+                            <template x-for="opt in [{id:'shuffle',label:'Shuffle'},{id:'tricky',label:'Tricky'}]" :key="opt.id">
+                                <button @click="sortOrder = opt.id; sortDropdownOpen = false; page = 1; fetchDocs();"
+                                        class="w-full text-left px-3 py-1.5 text-[11px] font-medium transition-colors flex items-center gap-2"
+                                        :class="sortOrder === opt.id ? 'text-indigo-400' : 'text-slate-400 hover:bg-slate-700 hover:text-slate-200'">
+                                    <i class="fas fa-check text-[8px]" :class="sortOrder === opt.id ? 'text-indigo-400' : 'invisible'"></i>
+                                    <span x-text="opt.label"></span>
+                                </button>
+                            </template>
+                        </div>
+                    </div>
+                    <!-- Pagination -->
+                    <div class="flex items-center rounded-md bg-slate-800/90 shadow-md border border-slate-700 overflow-hidden">
+                        <button @click="page--; fetchDocs()"
+                                :disabled="page <= 1"
+                                class="px-2 py-1 text-xs transition-colors"
+                                :class="page <= 1 ? 'text-slate-700 cursor-not-allowed' : 'text-slate-400 hover:text-slate-200'">
+                            <i class="fas fa-chevron-left"></i>
+                        </button>
+                        <span class="text-[11px] text-slate-500 px-0.5" x-text="page"></span>
+                        <button @click="page++; fetchDocs()"
+                                :disabled="!hasNext"
+                                class="px-2 py-1 text-xs transition-colors"
+                                :class="!hasNext ? 'text-slate-700 cursor-not-allowed' : 'text-slate-400 hover:text-slate-200'">
+                            <i class="fas fa-chevron-right"></i>
+                        </button>
+                    </div>
+                </div>
+                <!-- Scrollable document area -->
+                <div class="flex-1 overflow-y-auto pt-12 pb-32 scrollable-panel scrollable-dark">
+                    <div x-show="loading" class="flex items-center justify-center py-12">
+                        <span class="text-sm text-slate-500">Loading...</span>
+                    </div>
+                    <div x-show="!loading">
+                        <template x-for="doc in documents" :key="doc.id">
+                            <div class="px-4 py-3 border-b border-slate-800 border-l-2 border-l-transparent hover:border-l-indigo-500 hover:bg-slate-800/50 transition-colors cursor-default flex items-start gap-2">
+                                <p class="text-sm text-slate-300 flex-1" x-text="doc.text"></p>
+                                <div class="shrink-0 flex items-center gap-1 mt-0.5">
+                                    <span x-show="doc.prediction_confidence != null"
+                                          class="text-[10px] text-slate-600 w-8 text-right"
+                                          x-text="doc.prediction_confidence != null ? (doc.prediction_confidence * 100).toFixed(0) + '%' : ''"></span>
+                                    <span x-show="doc.prediction"
+                                          class="w-14 inline-flex items-center justify-center py-0.5 rounded ring-1 ring-inset text-[10px] font-semibold uppercase"
+                                          :class="doc.prediction === 'yes' ? 'ring-emerald-600/50 text-emerald-500' : 'ring-red-600/50 text-red-500'">
+                                        <i class="fas fa-circle-nodes text-[8px] mr-1 opacity-60"></i><span x-text="doc.prediction"></span>
+                                    </span>
+                                    <span x-show="doc.annotation"
+                                          class="w-10 inline-flex items-center justify-center py-0.5 rounded text-[10px] font-semibold uppercase"
+                                          :class="doc.annotation === 'yes' ? 'bg-emerald-900/50 text-emerald-400' : doc.annotation === 'no' ? 'bg-red-900/50 text-red-400' : 'bg-amber-900/50 text-amber-400'"
+                                          x-text="doc.annotation"></span>
+                                </div>
+                            </div>
+                        </template>
+                        <div x-show="documents.length === 0" class="flex items-center justify-center py-12">
+                            <span class="text-sm text-slate-500">No documents yet.</span>
+                        </div>
+                    </div>
+                </div>
+            </div>
+
+            <!-- Tab: Overview -->
+            <div x-show="activeTab === 'overview'" x-cloak class="flex-1 flex flex-col min-h-0 bg-slate-900 relative">
+                <!-- New label button (floating) -->
+                <button @click="newLabelName = ''; showCreateLabelModal = true"
+                        class="absolute top-3 right-3 z-10 px-2.5 py-1 text-xs rounded-md bg-slate-800 text-slate-400 hover:bg-slate-700 hover:text-slate-200 transition-colors shadow-md border border-slate-700"
+                        title="New label">
+                    <i class="fas fa-plus text-[10px] mr-1"></i> New label
+                </button>
+                <div class="flex-1 overflow-y-auto p-4 pt-12 pb-32 scrollable-panel scrollable-dark">
+                <div class="space-y-3">
+                    <template x-for="label in labels" :key="label.id">
+                        <div @click="switchLabel(label)" class="border rounded-lg px-4 py-3 transition-colors cursor-pointer" :class="activeLabel && activeLabel.id === label.id ? 'border-indigo-500/50 bg-indigo-950/20' : 'border-slate-800 bg-slate-900 hover:border-slate-700'">
+                            <div class="flex items-center gap-2">
+                                <i class="fas fa-tag text-slate-500 text-xs"></i>
+                                <span class="text-sm text-slate-300" x-text="label.name"></span>
+                                <div class="ml-auto flex items-center gap-3">
+                                    <span class="flex items-center gap-1.5 text-[11px]" :class="label.instructions?.trim() ? 'text-emerald-500' : 'text-slate-600'">
+                                        <i class="fas" :class="label.instructions?.trim() ? 'fa-circle-check' : 'fa-circle'"></i>
+                                        Instructions
+                                    </span>
+                                    <span class="flex items-center gap-1.5 text-[11px]"
+                                          :class="label.finetune_status === 'completed'
+                                              ? (label.finetuned_at && label.stats?.latest_annotation_at && label.finetuned_at < label.stats.latest_annotation_at ? 'text-amber-400' : 'text-emerald-500')
+                                              : 'text-slate-600'">
+                                        <i class="fas" :class="label.finetune_status === 'completed'
+                                            ? (label.finetuned_at && label.stats?.latest_annotation_at && label.finetuned_at < label.stats.latest_annotation_at ? 'fa-circle' : 'fa-circle-check')
+                                            : (label.finetune_status === 'in_progress' ? 'fa-spinner fa-spin' : 'fa-circle')"></i>
+                                        Finetuned
+                                    </span>
+                                    <span class="flex items-center gap-1.5 text-[11px]" :class="label.predicted_at && label.finetuned_at && label.predicted_at >= label.finetuned_at ? 'text-emerald-500' : 'text-slate-600'">
+                                        <i class="fas" :class="label.predicted_at && label.finetuned_at && label.predicted_at >= label.finetuned_at ? 'fa-circle-check' : 'fa-circle'"></i>
+                                        Predicted
+                                    </span>
+                                </div>
+                            </div>
+                            <template x-if="label.stats?.total > 0">
+                                <div class="mt-2">
+                                    <div class="flex h-1.5 rounded-full overflow-hidden bg-slate-800">
+                                        <div class="bg-emerald-500 transition-all" :style="'width:' + (label.stats.yes / label.stats.total * 100) + '%'"></div>
+                                        <div class="bg-red-500 transition-all" :style="'width:' + (label.stats.no / label.stats.total * 100) + '%'"></div>
+                                        <div class="bg-amber-500 transition-all" :style="'width:' + (label.stats.skip / label.stats.total * 100) + '%'"></div>
+                                        <div class="bg-slate-600 transition-all" :style="'width:' + (label.stats.unannotated / label.stats.total * 100) + '%'"></div>
+                                    </div>
+                                    <div class="flex items-center gap-3 mt-1.5">
+                                        <span class="text-[10px] text-slate-500"><span class="inline-block w-1.5 h-1.5 rounded-full bg-emerald-500 mr-1"></span><span x-text="label.stats.yes"></span></span>
+                                        <span class="text-[10px] text-slate-500"><span class="inline-block w-1.5 h-1.5 rounded-full bg-red-500 mr-1"></span><span x-text="label.stats.no"></span></span>
+                                        <span class="text-[10px] text-slate-500"><span class="inline-block w-1.5 h-1.5 rounded-full bg-amber-500 mr-1"></span><span x-text="label.stats.skip"></span></span>
+                                        <span class="text-[10px] text-slate-500"><span class="inline-block w-1.5 h-1.5 rounded-full bg-slate-600 mr-1"></span><span x-text="label.stats.unannotated"></span></span>
+                                        <span class="text-[10px] text-slate-500 ml-auto" x-text="label.stats.total + ' total'"></span>
+                                    </div>
+                                </div>
+                            </template>
+                            <template x-if="label.prediction_stats && label.prediction_stats.f1 !== undefined">
+                                <div class="flex items-center gap-3 mt-1.5">
+                                    <span class="text-[10px] text-slate-500">F1 <span class="text-slate-400" x-text="(label.prediction_stats.f1 * 100).toFixed(1) + '%'"></span></span>
+                                    <span class="text-[10px] text-slate-500">Acc <span class="text-slate-400" x-text="(label.prediction_stats.accuracy * 100).toFixed(1) + '%'"></span></span>
+                                    <span class="text-[10px] text-slate-600 ml-auto" x-text="'n=' + label.prediction_stats.total"></span>
+                                </div>
+                            </template>
+                        </div>
+                    </template>
+                    <div x-show="labels.length === 0" class="flex items-center justify-center py-12">
+                        <span class="text-sm text-slate-500">No labels yet.</span>
+                    </div>
+                </div>
+                </div>
+            </div>
+
+            <!-- Tab: Settings -->
+            <div x-show="activeTab === 'settings'" x-cloak class="flex-1 flex flex-col min-h-0 bg-slate-900">
+                <!-- Label Settings -->
+                <div x-show="settingsSection === 'label'" class="flex-1 flex flex-col min-h-0 relative">
+                    <button x-show="activeLabel && (activeLabel.name !== _savedLabelName || (activeLabel.instructions || '') !== _savedLabelInstructions)"
+                            @click="saveLabel()"
+                            class="absolute top-3 right-3 z-10 px-2.5 py-1 text-xs rounded-md bg-indigo-600 text-white hover:bg-indigo-500 transition-colors shadow-md border border-indigo-500"
+                            title="Save changes">
+                        <i class="fas fa-check text-[10px] mr-1"></i> Save
+                    </button>
+                    <div class="flex-1 overflow-y-auto pb-32 scrollable-panel scrollable-dark">
+                    <div class="p-4">
+                        <h3 class="text-xs font-semibold text-slate-500 uppercase tracking-wider">Label Settings</h3>
+                    </div>
+                    <template x-if="activeLabel">
+                    <div class="px-4 pb-6 space-y-4">
+                        <div>
+                            <label class="block text-sm font-medium text-slate-300 mb-1">Label Name</label>
+                            <input type="text"
+                                   x-model="activeLabel.name"
+                                   class="w-full bg-slate-800 border border-slate-700 rounded-md px-2.5 py-1.5 text-sm text-slate-200 focus:outline-none focus:ring-1 focus:ring-indigo-500 focus:border-indigo-500">
+                        </div>
+                        <div>
+                            <div class="flex items-center justify-between mb-1">
+                                <label class="text-sm font-medium text-slate-300">Instructions</label>
+                                <button @click="editingLabelInstructions = !editingLabelInstructions; if (editingLabelInstructions) { $nextTick(() => { const ta = document.getElementById('label-instructions-textarea'); if (ta) { ta.style.height = 'auto'; ta.style.height = ta.scrollHeight + 'px'; ta.focus(); } }); }"
+                                        class="flex items-center gap-1.5 text-xs transition-colors"
+                                        :class="editingLabelInstructions ? 'text-indigo-400 hover:text-indigo-300' : 'text-slate-500 hover:text-slate-300'">
+                                    <i class="fas" :class="editingLabelInstructions ? 'fa-eye' : 'fa-pen'"></i>
+                                    <span x-text="editingLabelInstructions ? 'Preview' : 'Edit'"></span>
+                                </button>
+                            </div>
+                            <div x-show="!editingLabelInstructions"
+                                 class="bg-slate-800 border border-slate-700 rounded-md px-3 py-2 min-h-[2.5rem]">
+                                <div x-show="activeLabel.instructions && activeLabel.instructions.trim()"
+                                     class="text-sm text-slate-300 prose-chat prose-chat-dark"
+                                     x-html="renderMarkdown(activeLabel.instructions || '')"></div>
+                                <p x-show="!activeLabel.instructions || !activeLabel.instructions.trim()" class="text-sm text-slate-600 italic">No instructions yet.</p>
+                            </div>
+                            <textarea x-show="editingLabelInstructions" x-cloak
+                                      id="label-instructions-textarea"
+                                      x-model="activeLabel.instructions"
+                                      @input="$el.style.height = 'auto'; $el.style.height = $el.scrollHeight + 'px'"
+                                      rows="3"
+                                      placeholder="Label-specific instructions for the agent..."
+                                      class="w-full bg-slate-800 border border-slate-700 rounded-md px-2.5 py-1.5 text-sm text-slate-200 focus:outline-none focus:ring-1 focus:ring-indigo-500 focus:border-indigo-500 resize-none placeholder:text-slate-600"></textarea>
+                        </div>
+                    </div>
+                    </template>
+                    <div x-show="!activeLabel" class="px-4 pb-4">
+                        <p class="text-sm text-slate-500">No label selected.</p>
+                    </div>
+                    </div>
+                </div>
+
+                <!-- Project Settings -->
+                <div x-show="settingsSection === 'project'" class="flex-1 flex flex-col min-h-0 relative">
+                    <button x-show="projectName !== _savedProjectName || projectInstructions !== _savedProjectInstructions"
+                            @click="saveProject()"
+                            class="absolute top-3 right-3 z-10 px-2.5 py-1 text-xs rounded-md bg-indigo-600 text-white hover:bg-indigo-500 transition-colors shadow-md border border-indigo-500"
+                            title="Save changes">
+                        <i class="fas fa-check text-[10px] mr-1"></i> Save
+                    </button>
+                    <div class="flex-1 overflow-y-auto pb-32 scrollable-panel scrollable-dark">
+                    <div class="p-4">
+                        <h3 class="text-xs font-semibold text-slate-500 uppercase tracking-wider">Project Settings</h3>
+                    </div>
+                    <div class="px-4 pb-6 space-y-4">
+                        <div>
+                            <label class="block text-sm font-medium text-slate-300 mb-1">Project Name</label>
+                            <input type="text"
+                                   x-model="projectName"
+                                   class="w-full bg-slate-800 border border-slate-700 rounded-md px-2.5 py-1.5 text-sm text-slate-200 focus:outline-none focus:ring-1 focus:ring-indigo-500 focus:border-indigo-500">
+                        </div>
+                        <div>
+                            <div class="flex items-center justify-between mb-1">
+                                <label class="text-sm font-medium text-slate-300">Instructions</label>
+                                <button @click="editingInstructions = !editingInstructions; if (editingInstructions) { $nextTick(() => { const ta = document.getElementById('instructions-textarea'); if (ta) { ta.style.height = 'auto'; ta.style.height = ta.scrollHeight + 'px'; ta.focus(); } }); }"
+                                        class="flex items-center gap-1.5 text-xs transition-colors"
+                                        :class="editingInstructions ? 'text-indigo-400 hover:text-indigo-300' : 'text-slate-500 hover:text-slate-300'">
+                                    <i class="fas" :class="editingInstructions ? 'fa-eye' : 'fa-pen'"></i>
+                                    <span x-text="editingInstructions ? 'Preview' : 'Edit'"></span>
+                                </button>
+                            </div>
+                            <div x-show="!editingInstructions"
+                                 class="bg-slate-800 border border-slate-700 rounded-md px-3 py-2 min-h-[2.5rem]">
+                                <div x-show="projectInstructions.trim()"
+                                     class="text-sm text-slate-300 prose-chat prose-chat-dark"
+                                     x-html="renderMarkdown(projectInstructions)"></div>
+                                <p x-show="!projectInstructions.trim()" class="text-sm text-slate-600 italic">No instructions yet.</p>
+                            </div>
+                            <textarea x-show="editingInstructions" x-cloak
+                                      id="instructions-textarea"
+                                      x-model="projectInstructions"
+                                      @input="$el.style.height = 'auto'; $el.style.height = $el.scrollHeight + 'px'"
+                                      rows="3"
+                                      placeholder="Project-level instructions for the agent..."
+                                      class="w-full bg-slate-800 border border-slate-700 rounded-md px-2.5 py-1.5 text-sm text-slate-200 focus:outline-none focus:ring-1 focus:ring-indigo-500 focus:border-indigo-500 resize-none placeholder:text-slate-600"></textarea>
+                        </div>
+                    </div>
+                    </div>
+                </div>
+
+                <!-- Prompts -->
+                <div x-show="settingsSection === 'prompts'" class="flex-1 flex flex-col min-h-0 relative">
+                    <button @click="newPromptName = ''; showCreatePromptModal = true"
+                            class="absolute top-3 right-3 z-10 px-2.5 py-1 text-xs rounded-md bg-slate-800 text-slate-400 hover:bg-slate-700 hover:text-slate-200 transition-colors shadow-md border border-slate-700"
+                            title="New prompt">
+                        <i class="fas fa-plus text-[10px] mr-1"></i> New prompt
+                    </button>
+                    <div class="flex-1 overflow-y-auto pb-32 scrollable-panel scrollable-dark">
+                    <div class="p-4">
+                        <h3 class="text-xs font-semibold text-slate-500 uppercase tracking-wider">Prompts</h3>
+                    </div>
+                    <div class="px-4 pb-6 space-y-4">
+                        <template x-for="prompt in prompts" :key="prompt.id">
+                            <div class="border border-slate-800 rounded-lg p-3 bg-slate-900/50">
+                                <div class="flex items-center justify-between mb-2">
+                                    <div class="flex items-center gap-2">
+                                        <span class="text-sm font-medium text-slate-300" x-text="prompt.name"></span>
+                                        <span class="inline-flex items-center px-1.5 py-0.5 rounded text-[10px] font-semibold uppercase"
+                                              :class="prompt.built_in ? 'bg-indigo-900/50 text-indigo-400' : 'bg-slate-700/50 text-slate-400'"
+                                              x-text="prompt.built_in ? 'Built-in' : 'Custom'"></span>
+                                    </div>
+                                    <div class="flex items-center gap-3">
+                                        <button x-show="prompt.built_in" @click="promptResetTarget = prompt"
+                                                class="text-xs text-slate-500 hover:text-slate-300 transition-colors">
+                                            <i class="fas fa-rotate-left text-[10px] mr-1"></i> Reset
+                                        </button>
+                                        <button x-show="!prompt.built_in" @click="promptDeleteTarget = prompt"
+                                                class="text-xs text-red-400/60 hover:text-red-400 transition-colors">
+                                            <i class="fas fa-trash text-[10px] mr-1"></i> Delete
+                                        </button>
+                                        <button @click="editingPrompt = editingPrompt === prompt.id ? null : prompt.id; if (editingPrompt === prompt.id) { $nextTick(() => { const ta = $el.closest('[x-data]')?.querySelector('#prompt-ta-' + prompt.id); if (ta) { ta.style.height = 'auto'; ta.style.height = ta.scrollHeight + 'px'; ta.focus(); } }); }"
+                                                class="flex items-center gap-1 text-xs transition-colors"
+                                                :class="editingPrompt === prompt.id ? 'text-indigo-400 hover:text-indigo-300' : 'text-slate-500 hover:text-slate-300'">
+                                            <i class="fas" :class="editingPrompt === prompt.id ? 'fa-eye' : 'fa-pen'"></i>
+                                            <span x-text="editingPrompt === prompt.id ? 'Preview' : 'Edit'"></span>
+                                        </button>
+                                    </div>
+                                </div>
+                                <div x-show="editingPrompt !== prompt.id"
+                                     class="bg-slate-800 border border-slate-700 rounded-md px-3 py-2 min-h-[2.5rem]">
+                                    <div x-show="prompt.content.trim()"
+                                         class="text-sm text-slate-300 prose-chat prose-chat-dark"
+                                         x-html="renderMarkdown(prompt.content || '')"></div>
+                                    <p x-show="!prompt.content.trim()" class="text-sm text-slate-600 italic">No content.</p>
+                                </div>
+                                <textarea x-show="editingPrompt === prompt.id" x-cloak
+                                          :id="'prompt-ta-' + prompt.id"
+                                          x-model="prompt.content"
+                                          @input="$el.style.height = 'auto'; $el.style.height = $el.scrollHeight + 'px'"
+                                          rows="3"
+                                          class="w-full bg-slate-800 border border-slate-700 rounded-md px-2.5 py-1.5 text-sm text-slate-200 focus:outline-none focus:ring-1 focus:ring-indigo-500 focus:border-indigo-500 resize-none placeholder:text-slate-600"></textarea>
+                                <div x-show="editingPrompt === prompt.id" class="flex justify-end mt-2">
+                                    <button @click="savePrompt(prompt)"
+                                            class="px-4 py-1.5 text-xs font-medium rounded-md bg-indigo-600 text-white hover:bg-indigo-500 transition-colors">
+                                        Save
+                                    </button>
+                                </div>
+                            </div>
+                        </template>
+                        <div x-show="prompts.length === 0" class="text-sm text-slate-500">No prompts configured.</div>
+                    </div>
+                    </div>
+                </div>
+
+                <!-- Danger Zone -->
+                <div x-show="settingsSection === 'danger'" class="flex-1 overflow-y-auto pb-32 scrollable-panel scrollable-dark">
+                    <div class="p-4">
+                        <h3 class="text-xs font-semibold text-red-400 uppercase tracking-wider">Danger Zone</h3>
+                    </div>
+                    <div class="px-4 pb-4 space-y-3">
+                        <div class="flex items-center justify-between bg-red-950/20 border border-red-900/30 rounded-lg px-4 py-3" x-show="activeLabel">
+                            <div>
+                                <p class="text-sm font-medium text-slate-300">Delete Label</p>
+                                <p class="text-xs text-slate-500" x-text="labels.length <= 1 ? 'Cannot delete the only label.' : 'Permanently delete this label and all its threads.'"></p>
+                            </div>
+                            <button @click="confirmDanger('deleteLabel')"
+                                    :disabled="labels.length <= 1"
+                                    class="px-3 py-1.5 text-xs font-medium rounded-md border transition-colors"
+                                    :class="labels.length <= 1 ? 'border-slate-700 text-slate-600 cursor-not-allowed' : 'border-red-700/50 text-red-400 hover:bg-red-900/30'">
+                                Delete
+                            </button>
+                        </div>
+                        <div class="flex items-center justify-between bg-red-950/20 border border-red-900/30 rounded-lg px-4 py-3">
+                            <div>
+                                <p class="text-sm font-medium text-slate-300">Delete Project</p>
+                                <p class="text-xs text-slate-500">Permanently delete this project, all labels, threads, and documents.</p>
+                            </div>
+                            <button @click="confirmDanger('deleteProject')"
+                                    class="px-3 py-1.5 text-xs font-medium rounded-md border border-red-700/50 text-red-400 hover:bg-red-900/30 transition-colors">
+                                Delete
+                            </button>
+                        </div>
+                    </div>
+                </div>
+            </div>
+        </div>
+
+        <!-- Right sidebar: Label panel -->
+        <aside class="border-l border-slate-800 flex flex-col min-h-0">
+            <!-- Active label section (top half) -->
+            <div class="h-1/2 flex flex-col min-h-0">
+                <div class="h-12 shrink-0 border-b border-slate-800 flex items-center px-4 relative">
+                    <button @click="labelDropdownOpen = !labelDropdownOpen"
+                            class="flex items-center gap-2 text-sm font-semibold text-slate-200 hover:text-white transition-colors min-w-0 w-full">
+                        <span x-text="activeLabel ? activeLabel.name : 'No label'" class="truncate"></span>
+                        <i class="fas fa-chevron-down text-slate-500 text-xs shrink-0 ml-auto"></i>
+                    </button>
+                    <!-- Label dropdown -->
+                    <div x-show="labelDropdownOpen"
+                         x-cloak
+                         @click.outside="labelDropdownOpen = false"
+                         class="absolute top-full left-0 right-0 bg-slate-800 border border-slate-700 rounded-b-lg shadow-lg z-10 max-h-60 overflow-y-auto">
+                        <template x-for="label in labels" :key="label.id">
+                            <button @click="switchLabel(label)"
+                                    class="w-full text-left px-4 py-2 text-sm hover:bg-slate-700 transition-colors flex items-center gap-2"
+                                    :class="activeLabel && activeLabel.id === label.id ? 'text-indigo-400 font-medium' : 'text-slate-300'">
+                                <i class="fas fa-check text-xs" :class="activeLabel && activeLabel.id === label.id ? 'text-indigo-400' : 'invisible'"></i>
+                                <span x-text="label.name" class="truncate"></span>
+                            </button>
+                        </template>
+                    </div>
+                </div>
+                <!-- Label stats -->
+                <div class="flex-1 overflow-y-auto scrollable-panel scrollable-dark">
+                    <div x-show="!labelStats || !labelStats.total" x-cloak class="px-4 py-4">
+                        <p class="text-xs text-slate-600 text-center">No data yet</p>
+                    </div>
+                    <div x-show="labelStats && labelStats.total > 0" x-cloak class="px-4 pt-3 pb-2">
+                        <div class="flex items-center justify-between mb-1.5">
+                            <span class="text-[11px] font-medium text-slate-400">Training Set</span>
+                            <span class="text-[11px] text-slate-500" x-text="labelStats?.total + ' examples'"></span>
+                        </div>
+                        <!-- Stacked bar -->
+                        <div class="flex h-2 rounded-full overflow-hidden bg-slate-800 mb-2">
+                            <div class="bg-emerald-500 transition-all" :style="'width:' + (labelStats?.total ? (labelStats.yes / labelStats.total * 100) : 0) + '%'"></div>
+                            <div class="bg-red-500 transition-all" :style="'width:' + (labelStats?.total ? (labelStats.no / labelStats.total * 100) : 0) + '%'"></div>
+                            <div class="bg-amber-500 transition-all" :style="'width:' + (labelStats?.total ? (labelStats.skip / labelStats.total * 100) : 0) + '%'"></div>
+                            <div class="bg-slate-600 transition-all" :style="'width:' + (labelStats?.total ? (labelStats.unannotated / labelStats.total * 100) : 0) + '%'"></div>
+                        </div>
+                        <!-- Legend -->
+                        <div class="grid grid-cols-2 gap-x-3 gap-y-1">
+                            <div class="flex items-center gap-1.5">
+                                <span class="w-2 h-2 rounded-full bg-emerald-500 shrink-0"></span>
+                                <span class="text-[10px] text-slate-500">Yes</span>
+                                <span class="text-[10px] text-slate-400 ml-auto" x-text="labelStats?.yes || 0"></span>
+                            </div>
+                            <div class="flex items-center gap-1.5">
+                                <span class="w-2 h-2 rounded-full bg-red-500 shrink-0"></span>
+                                <span class="text-[10px] text-slate-500">No</span>
+                                <span class="text-[10px] text-slate-400 ml-auto" x-text="labelStats?.no || 0"></span>
+                            </div>
+                            <div class="flex items-center gap-1.5">
+                                <span class="w-2 h-2 rounded-full bg-amber-500 shrink-0"></span>
+                                <span class="text-[10px] text-slate-500">Skip</span>
+                                <span class="text-[10px] text-slate-400 ml-auto" x-text="labelStats?.skip || 0"></span>
+                            </div>
+                            <div class="flex items-center gap-1.5">
+                                <span class="w-2 h-2 rounded-full bg-slate-600 shrink-0"></span>
+                                <span class="text-[10px] text-slate-500">None</span>
+                                <span class="text-[10px] text-slate-400 ml-auto" x-text="labelStats?.unannotated || 0"></span>
+                            </div>
+                        </div>
+                    </div>
+                    <!-- Finetune section (only when label has data) -->
+                    <div x-show="labelStats && labelStats.total > 0" x-cloak class="px-4 pt-3 pb-3 border-t border-slate-800/60">
+                        <div class="flex items-center justify-between mb-2">
+                            <span class="text-[11px] font-medium text-slate-400">Model</span>
+                            <!-- Status badge -->
+                            <template x-if="finetune && finetune.status === 'completed' && finetuneIsUpToDate()">
+                                <span class="text-[10px] text-emerald-400 flex items-center gap-1">
+                                    <i class="fas fa-circle-check text-[9px]"></i> Up to date
+                                </span>
+                            </template>
+                            <template x-if="finetune && finetune.status === 'completed' && !finetuneIsUpToDate()">
+                                <span class="text-[10px] text-amber-400 flex items-center gap-1">
+                                    <i class="fas fa-triangle-exclamation text-[9px]"></i> Out of date
+                                </span>
+                            </template>
+                            <template x-if="finetune && finetune.status === 'error'">
+                                <span class="text-[10px] text-red-400 flex items-center gap-1">
+                                    <i class="fas fa-circle-xmark text-[9px]"></i> Error
+                                </span>
+                            </template>
+                            <template x-if="finetune && finetune.status === 'in_progress'">
+                                <span class="text-[10px] text-indigo-400 flex items-center gap-1">
+                                    <i class="fas fa-spinner fa-spin text-[9px]"></i> Training
+                                </span>
+                            </template>
+                        </div>
+                        <!-- Progress bar (in_progress) -->
+                        <template x-if="finetune && finetune.status === 'in_progress' && finetune.progress && finetune.progress.max_steps">
+                            <div class="mb-2">
+                                <div class="flex h-1.5 rounded-full overflow-hidden bg-slate-800">
+                                    <div class="bg-indigo-500 transition-all rounded-full"
+                                         :style="'width:' + (finetune.progress.step / finetune.progress.max_steps * 100) + '%'"></div>
+                                </div>
+                                <div class="flex justify-between mt-1">
+                                    <span class="text-[10px] text-slate-500" x-text="'Step ' + (finetune.progress.step || 0) + ' / ' + finetune.progress.max_steps"></span>
+                                    <span class="text-[10px] text-slate-500" x-text="Math.round((finetune.progress.step || 0) / finetune.progress.max_steps * 100) + '%'"></span>
+                                </div>
+                            </div>
+                        </template>
+                        <!-- Progress bar (in_progress, no step info yet) -->
+                        <template x-if="finetune && finetune.status === 'in_progress' && (!finetune.progress || !finetune.progress.max_steps)">
+                            <div class="mb-2">
+                                <div class="flex h-1.5 rounded-full overflow-hidden bg-slate-800">
+                                    <div class="bg-indigo-500/50 rounded-full animate-pulse w-full"></div>
+                                </div>
+                                <span class="text-[10px] text-slate-500 mt-1 block">Starting...</span>
+                            </div>
+                        </template>
+                        <!-- Training args (collapsed, only when completed) -->
+                        <template x-if="finetune && finetune.status === 'completed' && finetune.training_args && Object.keys(finetune.training_args).length > 0">
+                            <div class="mb-2">
+                                <button @click="finetuneArgsOpen = !finetuneArgsOpen"
+                                        class="text-[10px] text-slate-500 hover:text-slate-300 transition-colors flex items-center gap-1">
+                                    <i class="fas text-[8px] transition-transform" :class="finetuneArgsOpen ? 'fa-chevron-down' : 'fa-chevron-right'"></i>
+                                    Training Args
+                                </button>
+                                <div x-show="finetuneArgsOpen" x-cloak class="mt-1">
+                                    <pre class="text-[10px] text-slate-400 bg-slate-800 rounded-md p-2 overflow-x-auto max-h-32 scrollable-panel scrollable-dark" x-text="JSON.stringify(finetune.training_args, null, 2)"></pre>
+                                </div>
+                            </div>
+                        </template>
+                        <!-- Run finetune button -->
+                        <button @click="startFinetune()"
+                                :disabled="(finetune && finetune.status === 'in_progress') || finetuneStarting"
+                                class="w-full px-3 py-1.5 text-xs font-medium rounded-md transition-colors flex items-center justify-center gap-1.5"
+                                :class="(finetune && finetune.status === 'in_progress') || finetuneStarting
+                                    ? 'bg-slate-800 border border-slate-700 text-slate-600 cursor-not-allowed'
+                                    : 'bg-indigo-600 text-white hover:bg-indigo-500'">
+                            <i class="fas fa-circle-nodes text-[10px]"></i>
+                            <span x-text="finetuneStarting ? 'Starting...' : (finetune && finetune.status === 'in_progress' ? 'Training...' : 'Run Finetune')"></span>
+                        </button>
+                        <!-- Cancel finetune button -->
+                        <button x-show="finetune && finetune.status === 'in_progress' && !finetuneStarting"
+                                @click="fetch('/api/projects/{{ project.id }}/labels/' + activeLabel.id + '/finetune/cancel', {method:'POST'}).then(r => r.json()).then(() => { stopFinetunePolling(); fetchFinetune(); })"
+                                class="w-full mt-1.5 px-3 py-1.5 text-xs font-medium rounded-md border border-slate-700 text-slate-500 hover:text-red-400 hover:border-red-600/50 transition-colors flex items-center justify-center gap-1.5">
+                            <i class="fas fa-xmark text-[10px]"></i>
+                            Cancel
+                        </button>
+                        <!-- Prediction status -->
+                        <div class="border-t border-slate-800/60 my-3 -mx-4"></div>
+                        <div x-show="finetune && finetune.status === 'completed'" class="flex items-center justify-between mb-2">
+                            <div class="flex items-center gap-1.5">
+                                <span class="text-[11px] font-medium text-slate-400">Predictions</span>
+                                <button @click="if (!activeLabel) return; fetch('/api/projects/{{ project.id }}/labels/' + activeLabel.id + '/prediction-stats', {method:'POST'}).then(r => r.json()).then(data => { if (activeLabel && data.prediction_stats !== undefined) activeLabel.prediction_stats = data.prediction_stats; })"
+                                        class="text-slate-600 hover:text-slate-400 transition-colors" title="Recalculate stats">
+                                    <i class="fas fa-arrows-rotate text-[9px]"></i>
+                                </button>
+                            </div>
+                            <template x-if="activeLabel && activeLabel.predicted_at && activeLabel.finetuned_at && activeLabel.predicted_at >= activeLabel.finetuned_at">
+                                <span class="text-[10px] text-emerald-400 flex items-center gap-1">
+                                    <i class="fas fa-circle-check text-[9px]"></i> Predicted
+                                </span>
+                            </template>
+                            <template x-if="!activeLabel || !activeLabel.predicted_at || !activeLabel.finetuned_at || activeLabel.predicted_at < activeLabel.finetuned_at">
+                                <span class="text-[10px] text-slate-500 flex items-center gap-1">
+                                    <i class="fas fa-circle text-[9px]"></i> Needs predictions
+                                </span>
+                            </template>
+                        </div>
+                        <!-- Prediction stats -->
+                        <template x-if="activeLabel && activeLabel.prediction_stats && activeLabel.prediction_stats.f1 !== undefined">
+                            <div class="flex items-center gap-3 mb-2">
+                                <span class="text-[10px] text-slate-500">F1 <span class="text-slate-400" x-text="(activeLabel.prediction_stats.f1 * 100).toFixed(1) + '%'"></span></span>
+                                <span class="text-[10px] text-slate-500">Acc <span class="text-slate-400" x-text="(activeLabel.prediction_stats.accuracy * 100).toFixed(1) + '%'"></span></span>
+                                <span class="text-[10px] text-slate-600 ml-auto" x-text="'n=' + activeLabel.prediction_stats.total"></span>
+                            </div>
+                        </template>
+                        <!-- Run predictions button (only when finetune completed) -->
+                        <button x-show="finetune && finetune.status === 'completed'"
+                                @click="runPredictions()"
+                                :disabled="predicting"
+                                class="w-full px-3 py-1.5 text-xs font-medium rounded-md border transition-colors flex items-center justify-center gap-1.5"
+                                :class="predicting
+                                    ? 'bg-slate-800 border-slate-700 text-slate-600 cursor-not-allowed'
+                                    : 'bg-slate-800 border-slate-700 text-slate-300 hover:bg-slate-700 hover:text-white'">
+                            <i class="fas text-[10px]" :class="predicting ? 'fa-spinner fa-spin' : 'fa-play'"></i>
+                            <span x-text="predicting ? 'Predicting...' : 'Run Predictions'"></span>
+                        </button>
+                    </div>
+                </div>
+            </div>
+            <!-- Autopilot tasks (bottom half) -->
+            <div class="h-1/2 flex flex-col min-h-0">
+                <div class="h-12 shrink-0 border-t border-b border-slate-800 flex items-center justify-between px-4">
+                    <span class="text-sm font-semibold text-slate-200">Autopilot</span>
+                    <button @click="fetchTasks()"
+                            class="text-slate-500 hover:text-slate-300 transition-colors"
+                            title="Refresh tasks">
+                        <i class="fas fa-arrows-rotate text-xs" :class="tasksLoading && 'fa-spin'"></i>
+                    </button>
+                </div>
+                <div class="flex-1 overflow-y-auto px-4 pb-4 scrollable-panel scrollable-dark">
+                    <div class="space-y-1.5">
+                        <template x-for="task in tasks" :key="task.id">
+                            <div @click="navigateToTask(task)"
+                                 class="px-3 py-2.5 rounded-md bg-slate-800/50 border border-slate-800 hover:border-slate-700 transition-colors cursor-pointer">
+                                <div class="flex items-center justify-between gap-2 mb-1">
+                                    <span class="text-xs font-medium text-slate-300 truncate min-w-0" x-text="task.prompt_name"></span>
+                                    <span x-show="task.status === 'in_progress'"
+                                          class="shrink-0 text-[10px] px-1.5 py-0.5 rounded bg-indigo-600/30 text-indigo-400 font-medium">
+                                        <i class="fas fa-spinner fa-spin mr-0.5"></i> Working
+                                    </span>
+                                    <span x-show="task.status === 'awaiting_input'"
+                                          class="shrink-0 text-[10px] px-1.5 py-0.5 rounded bg-amber-600/30 text-amber-400 font-medium animate-pulse">
+                                        <i class="fas fa-comment-dots mr-0.5"></i> Needs Input
+                                    </span>
+                                </div>
+                                <div x-show="task.label" class="flex items-center gap-1.5">
+                                    <i class="fas fa-tag text-[10px] text-slate-600"></i>
+                                    <span class="text-xs text-slate-500" x-text="task.label?.name"></span>
+                                </div>
+                            </div>
+                        </template>
+                        <div x-show="tasks.length === 0" class="text-center py-6">
+                            <span class="text-xs text-slate-600">No tasks</span>
+                        </div>
+                    </div>
+                </div>
+            </div>
+        </aside>
+    </div>
+
+    <!-- Create Prompt Modal -->
+    <div x-show="showCreatePromptModal" x-cloak
+         class="fixed inset-0 z-50 flex items-center justify-center bg-black/60 backdrop-blur-sm"
+         @keydown.escape.window="showCreatePromptModal = false">
+        <div class="bg-slate-900 rounded-xl border border-slate-700 shadow-modal p-6 w-full max-w-sm"
+             @click.outside="showCreatePromptModal = false">
+            <h2 class="text-lg font-semibold text-slate-200 mb-4">New Prompt</h2>
+            <form @submit.prevent="createPrompt()">
+                <label class="block text-sm font-medium text-slate-400 mb-1">Prompt Name</label>
+                <input type="text"
+                       x-model="newPromptName"
+                       required
+                       class="w-full bg-slate-800 border border-slate-600 rounded-lg px-3 py-2 mb-4 text-sm text-slate-200 focus:outline-none focus:ring-2 focus:ring-indigo-500/30 focus:border-indigo-500 placeholder:text-slate-500"
+                       placeholder="Enter prompt name">
+                <div class="flex justify-end gap-3">
+                    <button type="button"
+                            @click="showCreatePromptModal = false"
+                            class="px-4 py-2 text-sm text-slate-400 hover:text-slate-200">
+                        Cancel
+                    </button>
+                    <button type="submit"
+                            class="px-4 py-2 text-sm bg-indigo-600 text-white rounded-lg hover:bg-indigo-500">
+                        Create
+                    </button>
+                </div>
+            </form>
+        </div>
+    </div>
+
+    <!-- Delete Prompt Modal -->
+    <div x-show="promptDeleteTarget" x-cloak
+         class="fixed inset-0 z-50 flex items-center justify-center bg-black/60 backdrop-blur-sm"
+         @keydown.escape.window="promptDeleteTarget = null">
+        <div class="bg-slate-900 rounded-xl border border-slate-700 shadow-modal p-6 w-full max-w-sm"
+             @click.outside="promptDeleteTarget = null">
+            <h2 class="text-lg font-semibold text-slate-200 mb-2">Delete Prompt</h2>
+            <p class="text-sm text-slate-400 mb-4">
+                Delete <strong class="text-slate-200" x-text="promptDeleteTarget?.name"></strong>? This cannot be undone.
+            </p>
+            <div class="flex justify-end gap-3">
+                <button @click="promptDeleteTarget = null"
+                        class="px-4 py-2 text-sm text-slate-400 hover:text-slate-200">Cancel</button>
+                <button @click="deletePrompt(promptDeleteTarget)"
+                        class="px-4 py-2 text-sm bg-red-600 text-white rounded-lg hover:bg-red-500">Delete</button>
+            </div>
+        </div>
+    </div>
+
+    <!-- Reset Prompt Modal -->
+    <div x-show="promptResetTarget" x-cloak
+         class="fixed inset-0 z-50 flex items-center justify-center bg-black/60 backdrop-blur-sm"
+         @keydown.escape.window="promptResetTarget = null">
+        <div class="bg-slate-900 rounded-xl border border-slate-700 shadow-modal p-6 w-full max-w-sm"
+             @click.outside="promptResetTarget = null">
+            <h2 class="text-lg font-semibold text-slate-200 mb-2">Reset Prompt</h2>
+            <p class="text-sm text-slate-400 mb-4">
+                Reset <strong class="text-slate-200" x-text="promptResetTarget?.name"></strong> to its default content? Your changes will be lost.
+            </p>
+            <div class="flex justify-end gap-3">
+                <button @click="promptResetTarget = null"
+                        class="px-4 py-2 text-sm text-slate-400 hover:text-slate-200">Cancel</button>
+                <button @click="resetPrompt(promptResetTarget)"
+                        class="px-4 py-2 text-sm bg-red-600 text-white rounded-lg hover:bg-red-500">Reset</button>
+            </div>
+        </div>
+    </div>
+
+    <!-- Create Label Modal -->
+    <div x-show="showCreateLabelModal" x-cloak
+         class="fixed inset-0 z-50 flex items-center justify-center bg-black/60 backdrop-blur-sm"
+         @keydown.escape.window="showCreateLabelModal = false">
+        <div class="bg-slate-900 rounded-xl border border-slate-700 shadow-modal p-6 w-full max-w-sm"
+             @click.outside="showCreateLabelModal = false">
+            <h2 class="text-lg font-semibold text-slate-200 mb-4">New Label</h2>
+            <form @submit.prevent="createLabel()">
+                <label class="block text-sm font-medium text-slate-400 mb-1">Label Name</label>
+                <input type="text"
+                       x-model="newLabelName"
+                       required
+                       class="w-full bg-slate-800 border border-slate-600 rounded-lg px-3 py-2 mb-4 text-sm text-slate-200 focus:outline-none focus:ring-2 focus:ring-indigo-500/30 focus:border-indigo-500 placeholder:text-slate-500"
+                       placeholder="Enter label name">
+                <div class="flex justify-end gap-3">
+                    <button type="button"
+                            @click="showCreateLabelModal = false"
+                            class="px-4 py-2 text-sm text-slate-400 hover:text-slate-200">
+                        Cancel
+                    </button>
+                    <button type="submit"
+                            class="px-4 py-2 text-sm bg-indigo-600 text-white rounded-lg hover:bg-indigo-500">
+                        Create
+                    </button>
+                </div>
+            </form>
+        </div>
+    </div>
+
+    <!-- Delete Thread Modal -->
+    <div x-show="threadToDelete" x-cloak
+         class="fixed inset-0 z-50 flex items-center justify-center bg-black/60 backdrop-blur-sm"
+         @keydown.escape.window="threadToDelete = null">
+        <div class="bg-slate-900 rounded-xl border border-slate-700 shadow-modal p-6 w-full max-w-sm"
+             @click.outside="threadToDelete = null">
+            <h2 class="text-lg font-semibold text-slate-200 mb-2">Delete Thread</h2>
+            <p class="text-sm text-slate-400 mb-4">Are you sure you want to delete this thread? This cannot be undone.</p>
+            <div class="flex justify-end gap-3">
+                <button @click="threadToDelete = null"
+                        class="px-4 py-2 text-sm text-slate-400 hover:text-slate-200">
+                    Cancel
+                </button>
+                <button @click="deleteThread()"
+                        class="px-4 py-2 text-sm bg-red-600 text-white rounded-lg hover:bg-red-500">
+                    Delete
+                </button>
+            </div>
+        </div>
+    </div>
+
+    <!-- Danger Confirmation Modal -->
+    <div x-show="dangerAction" x-cloak
+         class="fixed inset-0 z-50 flex items-center justify-center bg-black/60 backdrop-blur-sm"
+         @keydown.escape.window="dangerAction = null">
+        <div class="bg-slate-900 rounded-xl border border-slate-700 shadow-modal p-6 w-full max-w-sm"
+             @click.outside="dangerAction = null">
+            <h2 class="text-lg font-semibold text-red-400 mb-2">
+                <i class="fas fa-triangle-exclamation mr-1.5"></i>
+                <span x-text="dangerAction === 'deleteProject' ? 'Delete Project' : 'Delete Label'"></span>
+            </h2>
+            <p class="text-sm text-slate-400 mb-4">
+                This action is permanent and cannot be undone. Type
+                <strong class="text-slate-200" x-text="dangerAction === 'deleteProject' ? projectName : (activeLabel ? activeLabel.name : '')"></strong>
+                to confirm.
+            </p>
+            <input type="text"
+                   x-model="dangerConfirmText"
+                   class="w-full bg-slate-800 border border-slate-600 rounded-lg px-3 py-2 mb-4 text-sm text-slate-200 focus:outline-none focus:ring-2 focus:ring-red-500/30 focus:border-red-500 placeholder:text-slate-600"
+                   placeholder="Type the name to confirm">
+            <div class="flex justify-end gap-3">
+                <button @click="dangerAction = null"
+                        class="px-4 py-2 text-sm text-slate-400 hover:text-slate-200">
+                    Cancel
+                </button>
+                <button @click="executeDanger()"
+                        :disabled="dangerConfirmText !== (dangerAction === 'deleteProject' ? projectName : (activeLabel ? activeLabel.name : ''))"
+                        class="px-4 py-2 text-sm rounded-lg transition-all"
+                        :class="dangerConfirmText === (dangerAction === 'deleteProject' ? projectName : (activeLabel ? activeLabel.name : ''))
+                            ? 'bg-red-600 text-white hover:bg-red-500'
+                            : 'bg-slate-700 text-slate-500 cursor-not-allowed'">
+                    Delete permanently
+                </button>
+            </div>
+        </div>
+    </div>
+</div>
+{% endblock %}
diff --git a/clx/app/templates/projects.html b/clx/app/templates/projects.html
new file mode 100644
index 0000000..f5087f9
--- /dev/null
+++ b/clx/app/templates/projects.html
@@ -0,0 +1,91 @@
+{% extends "base.html" %}
+
+{% block navbar %}{% endblock %}
+
+{% block content %}
+<div class="flex-1 overflow-y-auto bg-slate-950" x-data="{ showModal: false, projectName: '' }">
+    <div class="max-w-5xl mx-auto px-8 py-12">
+        <div class="mb-10">
+            <div class="flex items-center gap-3 mb-2">
+                <span class="w-8 h-8 rounded-lg bg-indigo-600 flex items-center justify-center text-white text-xs font-bold shadow-lg shadow-indigo-500/25">C</span>
+                <h1 class="text-2xl font-bold text-white tracking-tight">CLX</h1>
+            </div>
+            <p class="text-sm text-slate-400 mt-3">Your classification projects</p>
+        </div>
+
+        <div class="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 gap-4">
+            {% for project in projects %}
+            <a href="/projects/{{ project.id }}/"
+               class="group block rounded-xl bg-slate-900 border border-slate-800 hover:border-indigo-500/50 hover:bg-slate-800/80 transition-all duration-200 p-5">
+                <div class="flex items-center justify-between">
+                    <h2 class="text-sm font-medium text-slate-200 group-hover:text-white transition-colors">{{ project.name }}</h2>
+                    <i class="fas fa-arrow-right text-xs text-slate-600 group-hover:text-indigo-400 transition-colors"></i>
+                </div>
+            </a>
+            {% endfor %}
+
+            <!-- New Project Card -->
+            <button @click="showModal = true"
+                    class="group flex items-center justify-center rounded-xl border-2 border-dashed border-slate-700 p-5 text-slate-500 hover:text-indigo-400 hover:border-indigo-500/40 hover:bg-indigo-500/5 transition-all duration-200 cursor-pointer">
+                <div class="text-center">
+                    <div class="w-9 h-9 rounded-lg bg-slate-800 group-hover:bg-indigo-600/20 flex items-center justify-center mx-auto mb-2 transition-colors">
+                        <i class="fas fa-plus text-sm"></i>
+                    </div>
+                    <p class="text-sm font-medium">New Project</p>
+                </div>
+            </button>
+        </div>
+    </div>
+
+    <!-- New Project Modal -->
+    <div x-show="showModal" x-cloak
+         class="fixed inset-0 z-50 flex items-center justify-center bg-black/60 backdrop-blur-sm"
+         @keydown.escape.window="showModal = false"
+         x-transition:enter="transition ease-out duration-200"
+         x-transition:enter-start="opacity-0"
+         x-transition:enter-end="opacity-100"
+         x-transition:leave="transition ease-in duration-150"
+         x-transition:leave-start="opacity-100"
+         x-transition:leave-end="opacity-0">
+        <div class="bg-slate-900 rounded-2xl border border-slate-700 shadow-modal p-6 w-full max-w-md"
+             @click.outside="showModal = false"
+             x-transition:enter="transition ease-out duration-200"
+             x-transition:enter-start="opacity-0 scale-95"
+             x-transition:enter-end="opacity-100 scale-100">
+            <h2 class="text-lg font-bold text-white mb-1">Create New Project</h2>
+            <p class="text-sm text-slate-400 mb-5">Give your project a name to get started.</p>
+            <form @submit.prevent="
+                fetch('/api/projects/', {
+                    method: 'POST',
+                    headers: {'Content-Type': 'application/json'},
+                    body: JSON.stringify({name: projectName})
+                }).then(r => {
+                    if (!r.ok) throw new Error('Failed to create project');
+                    window.location.reload();
+                }).catch(e => alert(e.message))
+            ">
+                <label for="project-name" class="block text-xs font-medium text-slate-400 mb-1.5">
+                    Project Name
+                </label>
+                <input id="project-name"
+                       type="text"
+                       x-model="projectName"
+                       required
+                       class="w-full bg-slate-800 border border-slate-600 rounded-lg px-3.5 py-2.5 text-sm text-white focus:outline-none focus:ring-2 focus:ring-indigo-500/30 focus:border-indigo-500 transition-all placeholder:text-slate-500"
+                       placeholder="Enter project name">
+                <div class="flex justify-end gap-3 mt-5">
+                    <button type="button"
+                            @click="showModal = false"
+                            class="px-4 py-2 text-sm font-medium text-slate-400 hover:text-slate-200 transition-colors">
+                        Cancel
+                    </button>
+                    <button type="submit"
+                            class="px-5 py-2 text-sm font-medium bg-indigo-600 text-white rounded-lg hover:bg-indigo-500 shadow-lg shadow-indigo-500/25 hover:shadow-indigo-500/40 transition-all">
+                        Create Project
+                    </button>
+                </div>
+            </form>
+        </div>
+    </div>
+</div>
+{% endblock %}
diff --git a/clx/app/templates/search/decisions_tab.html b/clx/app/templates/search/decisions_tab.html
deleted file mode 100644
index 57a5b5c..0000000
--- a/clx/app/templates/search/decisions_tab.html
+++ /dev/null
@@ -1,121 +0,0 @@
-<main class="flex-1 min-h-0 overflow-y-auto pb-32 px-4 -mx-4" x-show="activeTab === 'decisions'" x-cloak>
-    <div class="py-4">
-        <div class="mb-8 rounded-xl border border-gray-200 bg-gradient-to-tl from-gray-200 to-gray-100 p-4 shadow-lg text-sm text-gray-700">
-            <h3 class="text-base font-medium text-gray-900 mb-2">Decisions Overview</h3>
-            <p class="mb-2">
-                Decisions are a curated set of reason-annotated examples that establish what a label should apply to.
-                We use decisions in the following ways:
-            </p>
-            <ul class="list-disc pl-5 space-y-1 mb-3">
-                <li>
-                    To guide the "predictor" model used to generate synthetic training data.
-                    We use a DSPy optimizer to generate a prompt that for making predictions using an LLM.
-                    The decision annotations are used as feedback to iteratively improve this prompt.
-                </li>
-                <li>
-                    To select examples for the training set for finetuning models. For every decision annotated example,
-                    treat it as a semantic anchor to pull in a sample of similar examples to ensure that the relevant language
-                    is represented in the training set.
-                </li>
-            </ul>
-            <p class="mb-2">
-                Create a decision for any examples that the the predictor or finetune models tend to misclassify.
-                You can also create decisions for ambiguous or tricky language where we want to establish a clear
-                decision boundary for how we want to treat it in our ontology.
-            </p>
-        </div>
-        <div class="mb-4 flex items-center justify-between">
-            <h3 class="text-base font-medium text-gray-900" x-text="(labels?.[activeLabelId]?.name || '') + ' Decisions'"></h3>
-            <div class="text-sm text-gray-500" x-text="decisions ? Object.keys(decisions || {}).length + ' total' : ''"></div>
-        </div>
-        <template x-if="!(decisions && Object.keys(decisions || {}).length)">
-            <div class="text-sm text-gray-500">No decisions yet.</div>
-        </template>
-        <div class="flex flex-col gap-4">
-            <template
-                x-for="d in (Object.values(decisions || {}).slice().sort((a,b) => new Date(b?.updated_at) - new Date(a?.updated_at)))"
-                :key="d.id"
-            >
-                <div
-                    :id="'decision-' + d.text_hash"
-                    class="bg-white border rounded-lg shadow-sm p-4"
-                    x-data="{ editing: false, editValue: d.value, editReason: d.reason }"
-                    @click.outside="editing = false"
-                >
-                    <div class="flex items-start justify-between gap-3">
-                        <div class="flex items-center gap-2 flex-wrap">
-                            <span
-                                class="inline-flex items-center rounded-full px-2 py-0.5 text-xs"
-                                :class="d.value ? 'bg-green-100 text-green-800' : 'bg-red-100 text-red-800'"
-                                x-text="d.value ? 'Positive' : 'Negative'"
-                            ></span>
-                        </div>
-                        <div class="flex items-center gap-2" x-data="{ open: false }">
-                            <button
-                                type="button"
-                                class="rounded-md px-2 py-0.5 text-xs bg-gray-100 text-gray-700 hover:bg-gray-200"
-                                @click="editing = !editing; editValue = d.value; editReason = d.reason"
-                            >
-                                <span x-text="editing ? 'Cancel' : 'Edit'"></span>
-                            </button>
-                            <template x-if="!open">
-                                <button
-                                    type="button"
-                                    class="rounded-md px-2 py-0.5 text-xs bg-gray-100 text-gray-700 hover:bg-gray-200"
-                                    @click="open = true"
-                                >Delete</button>
-                            </template>
-                            <template x-if="open">
-                                <div class="flex items-center gap-2" @click.outside="open = false">
-                                    <span class="text-xs text-gray-700">Are you sure?</span>
-                                    <button
-                                        type="button"
-                                        class="rounded-md px-2 py-0.5 text-xs bg-red-500 text-white hover:bg-red-600"
-                                        @click="deleteDecision(d.id)"
-                                    >Yes</button>
-                                    <button
-                                        type="button"
-                                        class="rounded-md px-2 py-0.5 text-xs bg-gray-100 text-gray-700 hover:bg-gray-200"
-                                        @click="open = false"
-                                    >No</button>
-                                </div>
-                            </template>
-                        </div>
-                    </div>
-                    <div class="prose prose-sm max-w-none mt-2">
-                        <p class="text-gray-800" x-text="d.text || ''"></p>
-                    </div>
-                    <div class="mt-3 rounded-md border border-gray-200 bg-gray-50 p-3" x-show="!editing">
-                        <div class="text-sm text-gray-800 whitespace-pre-wrap break-words" x-text="d.reason"></div>
-                    </div>
-                    <div class="mt-3" x-show="editing" x-cloak>
-                        <textarea class="w-full rounded-md ring-1 ring-gray-300 focus:ring-blue-500 text-sm p-2" rows="3" x-model="editReason" placeholder="Enter reason…"></textarea>
-                    </div>
-                    <div class="mt-3 flex items-center justify-between" x-show="editing" x-cloak>
-                        <div class="flex items-center gap-2">
-                            <button
-                                type="button"
-                                class="rounded-md px-2 py-0.5 text-xs"
-                                :class="editValue ? 'bg-green-500 text-white hover:bg-green-600' : 'bg-gray-100 text-gray-700 hover:bg-gray-200'"
-                                @click="editValue = true"
-                            >Positive</button>
-                            <button
-                                type="button"
-                                class="rounded-md px-2 py-0.5 text-xs"
-                                :class="!editValue ? 'bg-red-500 text-white hover:bg-red-600' : 'bg-gray-100 text-gray-700 hover:bg-gray-200'"
-                                @click="editValue = false"
-                            >Negative</button>
-                        </div>
-                        <div class="flex items-center gap-2">
-                            <button
-                                type="button"
-                                class="inline-flex items-center justify-center rounded-md bg-blue-600 px-2 py-1 text-white text-xs hover:bg-blue-700"
-                                @click="await updateDecision(d.label_id, d.text_hash, editValue, editReason); editing = false;"
-                            >Save</button>
-                        </div>
-                    </div>
-                </div>
-            </template>
-        </div>
-    </div>
-</main>
\ No newline at end of file
diff --git a/clx/app/templates/search/finetunes_tab.html b/clx/app/templates/search/finetunes_tab.html
deleted file mode 100644
index 5669bd6..0000000
--- a/clx/app/templates/search/finetunes_tab.html
+++ /dev/null
@@ -1,40 +0,0 @@
-<main class="flex-1 min-h-0 overflow-y-auto pb-32 px-4 -mx-4" x-show="activeTab === 'finetunes'" x-cloak>
-    <div class="py-4">
-        <div class="mb-8 rounded-xl border border-gray-200 bg-gradient-to-tl from-gray-200 to-gray-100 p-4 shadow-lg text-sm text-gray-700">
-            <h3 class="text-base font-medium text-gray-900 mb-2">Finetunes Overview</h3>
-            <p class="mb-0">
-                Finetunes are trained models using the synthetic trainset.
-                This section lists completed training runs and their evaluation metrics.
-            </p>
-        </div>
-        <div class="mb-4 flex items-center justify-between">
-            <h3 class="text-base font-medium text-gray-900" x-text="(labels?.[activeLabelId]?.name || '') + ' Finetunes'"></h3>
-            <div class="text-sm text-gray-500" x-text="finetunes ? Object.keys(finetunes || {}).length + ' total' : ''"></div>
-        </div>
-        <template x-if="!(finetunes && Object.keys(finetunes || {}).length)">
-            <div class="text-sm text-gray-500">No finetunes yet.</div>
-        </template>
-        <div class="flex flex-col gap-4">
-            <template
-                x-for="ft in (Object.values(finetunes || {}).slice().sort((a,b) => (b?.id || 0) - (a?.id || 0)))"
-                :key="ft.id"
-            >
-                <div class="bg-white border rounded-lg shadow-sm p-4">
-                    <div class="flex items-start justify-between gap-3">
-                        <div class="text-base font-medium text-gray-900" x-text="ft.config_name || ''"></div>
-                    </div>
-                    <div class="mt-3 grid grid-cols-2 gap-3 max-w-sm">
-                        <div class="rounded-md border border-gray-200 bg-gray-50 p-3">
-                            <div class="text-xs text-gray-500 mb-1">F1 Score</div>
-                            <div class="text-sm text-gray-800" x-text="(ft.eval_results && typeof ft.eval_results.eval_binary_f1 === 'number') ? ft.eval_results.eval_binary_f1.toFixed(4) : '—'"></div>
-                        </div>
-                        <div class="rounded-md border border-gray-200 bg-gray-50 p-3">
-                            <div class="text-xs text-gray-500 mb-1">Loss</div>
-                            <div class="text-sm text-gray-800" x-text="(ft.eval_results && typeof ft.eval_results.eval_loss === 'number') ? ft.eval_results.eval_loss.toFixed(4) : '—'"></div>
-                        </div>
-                    </div>
-                </div>
-            </template>
-        </div>
-    </div>
-</main>
\ No newline at end of file
diff --git a/clx/app/templates/search/heuristics_tab.html b/clx/app/templates/search/heuristics_tab.html
deleted file mode 100644
index 3fc8932..0000000
--- a/clx/app/templates/search/heuristics_tab.html
+++ /dev/null
@@ -1,171 +0,0 @@
-<main class="flex-1 min-h-0 overflow-y-auto pb-32 px-4 -mx-4" x-show="activeTab === 'heuristics'" x-cloak>
-    <div class="py-4">
-        <div class="mb-8 rounded-xl border border-gray-200 bg-gradient-to-tl from-gray-200 to-gray-100 p-4 shadow-lg text-sm text-gray-700">
-            <h3 class="text-base font-medium text-gray-900 mb-2">Heuristics Overview</h3>
-            <p class="mb-2">
-                Heuristics are simple keyword rules that filter examples and are stored as tags. Two naming conventions for their associated tags are used:
-            </p>
-            <ul class="list-disc pl-5 space-y-1 mb-3">
-                <li>
-                    <span class="font-mono bg-gray-50 px-1 rounded">h:qs:{querystring}:{label_slug}</span> — querystring-based heuristic
-                </li>
-                <li>
-                    <span class="font-mono bg-gray-50 px-1 rounded">h:fn:{function_name}:{label_slug}</span> — custom function heuristic (registered in <span class="font-mono">custom_heuristics.py</span>)
-                </li>
-            </ul>
-            <p class="mb-2">
-                Each heuristic can be flagged as a <span class="font-medium">Minimal</span> or <span class="font-medium">Likely</span> condition. We use these flags to guide sampling of training data.
-            </p>
-            <div class="mb-2">
-                <div class="flex h-2 w-full overflow-hidden rounded-full ring-1 ring-gray-200">
-                    <div class="bg-red-400" :style="`width: ${labelCountPercent('excluded')}%`"></div>
-                    <div class="bg-amber-400" :style="`width: ${labelCountPercent('neutral')}%`"></div>
-                    <div class="bg-blue-400" :style="`width: ${labelCountPercent('likely')}%`"></div>
-                </div>
-                <div class="mt-2 space-y-1">
-                    <div>
-                        <span class="inline-block h-2 w-2 rounded-sm bg-red-400 mr-2 align-middle"></span>
-                        <span class="align-middle">Excluded (<span x-text="labels?.[activeLabelId]?.num_excluded"></span>) — example does not meet <span class="font-semibold">any</span> Minimal condition.</span>
-                    </div>
-                    <div>
-                        <span class="inline-block h-2 w-2 rounded-sm bg-amber-400 mr-2 align-middle"></span>
-                        <span class="align-middle">Neutral (<span x-text="labels?.[activeLabelId]?.num_neutral"></span>) — neither explicitly Minimal-excluded nor Likely-matched.</span>
-                    </div>
-                    <div>
-                        <span class="inline-block h-2 w-2 rounded-sm bg-blue-400 mr-2 align-middle"></span>
-                        <span class="align-middle">Likely (<span x-text="labels?.[activeLabelId]?.num_likely"></span>) — example meets <span class="font-semibold">any</span> Likely condition; good candidates for positive sampling.</span>
-                    </div>
-                </div>
-            </div>
-            <p class="mt-2">
-                Below are the heuristics for "<span x-text="labels?.[activeLabelId]?.name || ''"></span>".
-            </p>
-        </div>
-        <div x-data="{syncing: false}" class="flex items-center justify-between mb-4">
-            <h3 class="text-base font-medium text-gray-900" x-text="(labels?.[activeLabelId]?.name || '') + ' Heuristics'"></h3>
-            <button
-                type="button"
-                class="inline-flex items-center justify-center rounded-md bg-gray-800 px-2 py-1 text-white text-xs hover:bg-gray-700"
-                @click="syncing = true; await syncCustomHeuristics(); syncing = false;"
-            >
-                <i class="fa-solid fa-arrows-rotate me-2" :class="syncing ? 'fa-spin' : ''"></i>
-                <span x-text="syncing ? 'Syncing...' : 'Sync Custom Heuristics'"></span>
-            </button>
-        </div>
-        <template x-if="!(heuristics && Object.keys(heuristics || {}).length)">
-            <div class="text-sm text-gray-500">No heuristics yet.</div>
-        </template>
-        <template x-if="project?.last_example_created_at && lastHeuristicAppliedAt() ? new Date(project.last_example_created_at) > lastHeuristicAppliedAt() : false">
-            <div class="mb-4 rounded border border-amber-200 bg-amber-50 p-3 text-sm text-amber-800">
-                <span>
-                    New examples have been added to this project since some heuristics were last applied. Please run <pre class="inline-block font-mono bg-gray-50 px-1 rounded">clx cleanup</pre> to update the heuristics.
-                </span>
-            </div>
-        </template>
-        <div class="flex flex-col gap-4">
-            <template
-                x-for="h in (Object.values(heuristics || {}).slice().sort((a,b) => new Date(b?.created_at) - new Date(a?.created_at)))"
-                :key="h.id"
-            >
-                <div class="bg-white border rounded-lg shadow-sm p-3">
-                    <div class="flex items-start justify-between gap-3">
-                        <div class="font-mono text-sm break-all" x-text="h.custom ? ('h:fn:' + h.custom) : (h.querystring ? ('h:qs:' + h.querystring) : '')"></div>
-                        <div class="text-xs text-gray-700">
-                            <template x-if="h.applied_at">
-                                <span>
-                                    <span x-text="'Applied ' + new Date(h.applied_at).toLocaleString()"></span>
-                                    <span x-text="'(' + h.num_examples + ')'"></span>
-                                </span>
-                            </template>
-                            <template x-if="!h.applied_at">
-                                <button
-                                    type="button"
-                                    class="inline-flex items-center justify-center rounded-md bg-gray-800 px-2 py-1 text-white text-xs hover:bg-gray-700"
-                                    @click="applyHeuristic(h.id)"
-                                >
-                                    <span x-show="!h.loading">Not Applied</span>
-                                    <span x-show="h.loading">Applying...</span>
-                                </button>
-                            </template>
-                        </div>
-                    </div>
-                    <template x-if="h.custom">
-                        <pre class="mt-3 rounded-md border border-gray-200 bg-gray-50 p-3 overflow-auto text-xs"><code x-text="h.source || ''"></code></pre>
-                    </template>
-                    <div class="mt-3 flex items-center gap-2 justify-between">
-                        <div class="flex items-center gap-2">
-                            <button
-                                type="button"
-                                class="rounded-md px-2 py-0.5 text-xs"
-                                :class="h.is_minimal ? 'bg-blue-600 text-white hover:bg-blue-700' : 'bg-gray-100 text-gray-700 hover:bg-gray-200'"
-                                @click="h.is_minimal = !h.is_minimal; toggleHeuristicFlag(h.id, 'is_minimal')"
-                            >Minimal</button>
-                            <button
-                                type="button"
-                                class="rounded-md px-2 py-0.5 text-xs"
-                                :class="h.is_likely ? 'bg-blue-600 text-white hover:bg-blue-700' : 'bg-gray-100 text-gray-700 hover:bg-gray-200'"
-                                @click="h.is_likely = !h.is_likely; toggleHeuristicFlag(h.id, 'is_likely')"
-                            >Likely</button>
-                        </div>
-                        <div class="flex items-center" x-data="{ open: false }">
-                            <template x-if="!open">
-                                <button
-                                    type="button"
-                                    class="rounded-md px-2 py-0.5 text-xs bg-gray-100 text-gray-700 hover:bg-gray-200"
-                                    @click="open = true"
-                                >Delete</button>
-                            </template>
-                            <template x-if="open">
-                                <div class="flex items-center gap-2" @click.outside="open = false">
-                                    <span class="text-xs text-gray-700">Are you sure?</span>
-                                    <button
-                                        type="button"
-                                        class="rounded-md px-2 py-0.5 text-xs bg-red-500 text-white hover:bg-red-600"
-                                        @click="deleteHeuristic(h.id)"
-                                    >Yes</button>
-                                    <button
-                                        type="button"
-                                        class="rounded-md px-2 py-0.5 text-xs bg-gray-100 text-gray-700 hover:bg-gray-200"
-                                        @click="open = false"
-                                    >No</button>
-                                </div>
-                            </template>
-                        </div>
-                    </div>
-                </div>
-            </template>
-        </div>
-        <h3 class="text-base font-medium text-gray-900 mt-4">Samplers</h3>
-        <div class="flex flex-col gap-4">
-            <template
-                x-for="qs in labels?.[activeLabelId]?.querystrings || []"
-                :key="qs.querystring"
-            >
-                <div class="bg-white border rounded-lg shadow-sm p-3">
-                    <div class="flex items-start justify-between gap-3">
-                        <div class="font-mono text-sm break-all" x-text="qs.querystring"></div>
-                        <div class="flex items-center gap-2">
-                            <input
-                                type="number"
-                                min="1"
-                                step="1"
-                                x-model.number="qs.num_examples"
-                                class="rounded-md ring-1 ring-gray-300 focus:ring-blue-500 text-sm px-2 py-0"
-                            />
-                            <button
-                                type="button"
-                                class="rounded-md px-2 py-0.5 text-xs bg-gray-100 text-gray-700 hover:bg-gray-200"
-                                @click="saveQuerystring(activeLabelId, qs.querystring, qs.num_examples)"
-                            >Save</button>
-                            <button
-                                type="button"
-                                class="rounded-md px-2 py-0.5 text-xs bg-gray-100 text-gray-700 hover:bg-gray-200"
-                                @click="deleteQuerystring(activeLabelId, qs.querystring)"
-                            >Delete</button>
-                        </div>
-                    </div>
-                </div>
-            </template>
-        </div>
-    </div>
-</main>
\ No newline at end of file
diff --git a/clx/app/templates/search/index.html b/clx/app/templates/search/index.html
deleted file mode 100644
index c2aa52c..0000000
--- a/clx/app/templates/search/index.html
+++ /dev/null
@@ -1,675 +0,0 @@
-{% extends "base.html" %}
-
-{% block content %}
-<div class="bg-gray-50 text-gray-900" x-data="searchComponent('/api/project/{{ project.id }}/')" x-init="init()">
-    <!-- Navbar -->
-    <nav class="h-12 sticky top-0 z-10 bg-white/90 backdrop-blur border-b border-gray-200">
-        <div class="max-w-[1460px] mx-auto h-full px-4 flex items-center justify-between">
-            <div x-data="{ open: false }">
-                <div class="relative">
-                    <button
-                        type="button"
-                        class="font-medium inline-flex items-center gap-2 text-start"
-                        @click="open = !open"
-                        :aria-expanded="open ? 'true' : 'false'"
-                    >
-                        <span class="text-lg font-semibold">{{ project.name }}</span>
-                        <i class="fa-solid fa-chevron-down transition-transform duration-150" :class="open ? 'rotate-180' : ''"></i>
-                    </button>
-                    <div
-                        x-show="open" x-cloak
-                        @click.outside="open = false"
-                        class="absolute z-10 mt-1 w-56 rounded-md bg-white py-1 text-sm shadow-lg ring-1 ring-black/5"
-                    >
-                        {% for p in projects %}
-                            <a
-                                href="/project/{{ p.id }}/search/"
-                                class="block w-full text-left px-3 py-1.5 hover:bg-gray-50"
-                            >{{ p.name }}</a>
-                        {% endfor %}
-                    </div>
-                </div>
-            </div>
-            <div class="flex items-center gap-3">
-                <div class="relative" x-data="{ open: false }" x-show="jobsPending().length" x-cloak>
-                    <button
-                        type="button"
-                        class="text-gray-500 hover:text-gray-700"
-                        @click="open = !open"
-                    >
-                        <i class="fa-solid fa-spinner fa-spin"></i>
-                    </button>
-                    <div
-                        x-show="open" x-cloak
-                        @click.outside="open = false"
-                        class="absolute right-0 mt-1 w-96 max-w-[90vw] rounded-md bg-white py-2 text-sm shadow-lg ring-1 ring-black/5"
-                    >
-                        <template x-for="item in jobsPending()" :key="item[0]">
-                            <div class="px-3 py-2 border-b border-gray-200 last:border-b-0">
-                                <div class="flex items-start justify-between gap-2">
-                                    <div class="min-w-0">
-                                        <div class="font-medium text-gray-900 truncate" x-text="item[1]?.name || 'Job'"></div>
-                                        <div class="text-xs text-gray-600 flex items-center gap-1">
-                                            <i class="fa-solid fa-spinner fa-spin text-gray-400 me-2"></i>
-                                            <span>In progress…</span>
-                                        </div>
-                                    </div>
-                                    <button
-                                        type="button"
-                                        class="text-gray-500 hover:text-gray-700 shrink-0"
-                                        @click="dismissJob(item[0]); if (jobsPending().length === 0) open = false;"
-                                    >
-                                        <i class="fa-solid fa-xmark"></i>
-                                    </button>
-                                </div>
-                            </div>
-                        </template>
-                    </div>
-                </div>
-                <div class="relative" x-data="{ open: false }" x-show="jobsErrors().length" x-cloak>
-                    <button
-                        type="button"
-                        class="text-red-500 hover:text-red-600"
-                        @click="open = !open"
-                    >
-                        <i class="fa-solid fa-circle-exclamation"></i>
-                    </button>
-                    <div
-                        x-show="open" x-cloak
-                        @click.outside="open = false"
-                        class="absolute right-0 mt-1 w-96 max-w-[90vw] rounded-md bg-white py-2 text-sm shadow-lg ring-1 ring-black/5"
-                    >
-                        <template x-for="item in jobsErrors()" :key="item[0]">
-                            <div class="px-3 py-2 border-b border-gray-200 last:border-b-0">
-                                <div class="flex items-start justify-between gap-2">
-                                    <div class="min-w-0">
-                                        <div class="font-medium text-gray-900 truncate" x-text="item[1]?.name || 'Job'"></div>
-                                        <div class="text-xs text-red-700 break-words whitespace-pre-wrap" x-text="String(item[1]?.error || '')"></div>
-                                    </div>
-                                    <button
-                                        type="button"
-                                        class="text-gray-500 hover:text-gray-700 shrink-0"
-                                        @click="dismissJob(item[0]);"
-                                    >
-                                        <i class="fa-solid fa-xmark"></i>
-                                    </button>
-                                </div>
-                            </div>
-                        </template>
-                    </div>
-                </div>
-            </div>
-        </div>
-    </nav>
-
-    <!-- Search -->
-    <div class="max-w-[1460px] mx-auto px-4">
-        <div class="grid grid-cols-[20rem_minmax(0,1fr)_18rem] gap-4 h-[calc(100vh-3rem)]">
-            {% include "search/search_panel.html" %}
-
-            <!-- Main Tabs -->
-            <div class="flex flex-col min-h-0">
-                <div class="bg-white border rounded-lg shadow-sm my-4 overflow-hidden">
-                    <nav
-                        class="grid grid-cols-5 w-full divide-x divide-gray-200"
-                        x-data="{ tabs: [
-                            { key: 'search', label: 'Search' },
-                            { key: 'decisions', label: 'Decisions' },
-                            { key: 'heuristics', label: 'Heuristics' },
-                            { key: 'predictor', label: 'Predictor' },
-                            { key: 'finetunes', label: 'Finetunes' },
-                        ] }"
-                    >
-                        <template x-for="t in tabs" :key="t.key">
-                            <button
-                                type="button"
-                                role="tab"
-                                @click="activeTab = t.key"
-                                :aria-selected="activeTab === t.key"
-                                class="px-4 py-2 text-sm text-center transition"
-                                :class="activeTab === t.key ? 'bg-gray-100 text-gray-900' : 'bg-white text-gray-700 hover:bg-gray-50'"
-                                x-text="t.label"
-                            ></button>
-                        </template>
-                    </nav>
-                </div>
-
-                <!-- Error box -->
-                <div x-show="error" x-cloak>
-                    <div class="my-3 rounded border border-red-200 bg-red-50 p-3 text-sm text-red-800 flex items-start justify-between gap-3">
-                        <div class="pr-2 break-words" x-text="error"></div>
-                        <button
-                            type="button"
-                            class="shrink-0 text-red-700 hover:text-red-900"
-                            @click="error = null"
-                        >
-                            <i class="fa-solid fa-xmark"></i>
-                        </button>
-                    </div>
-                </div>
-                {% include "search/results_tab.html" %}
-                {% include "search/decisions_tab.html" %}
-                {% include "search/heuristics_tab.html" %}
-                {% include "search/predictor_tab.html" %}
-                {% include "search/finetunes_tab.html" %}
-            </div>
-
-            <!-- Right -->
-            <aside class="bg-white border rounded-lg shadow-sm my-4 p-4 overflow-y-auto overflow-x-hidden">
-                <div class="mb-3" x-data="{ open: false }">
-                    <div class="relative">
-                        <button
-                            type="button"
-                            class="font-medium inline-flex items-center gap-2 text-start"
-                            @click="open = !open"
-                            :aria-expanded="open ? 'true' : 'false'"
-                        >
-                            <span x-text="labels?.[activeLabelId]?.name || 'Labels'"></span>
-                            <i class="fa-solid fa-chevron-down transition-transform duration-150" :class="open ? 'rotate-180' : ''"></i>
-                        </button>
-                        <div
-                            x-show="open" x-cloak
-                            @click.outside="open = false"
-                            class="absolute z-10 mt-1 w-56 rounded-md bg-white py-1 text-sm shadow-lg ring-1 ring-black/5"
-                        >
-                            <template
-                                x-for="(label, idx) in Object.values(labels || {}).sort((a, b) => a.name.localeCompare(b.name))"
-                                :key="label.id"
-                            >
-                                <button
-                                    type="button"
-                                    class="block w-full text-left px-3 py-1.5 hover:bg-gray-50"
-                                    @click="setActiveLabelId(label.id); open = false"
-                                >
-                                    <span x-text="label.name"></span>
-                                </button>
-                            </template>
-                        </div>
-                    </div>
-                </div>
-                <pre class="text-sm text-gray-500 mb-2" x-text="JSON.stringify(project, null, 2)"></pre>
-                <pre class="text-sm text-gray-500 mb-2" x-text="JSON.stringify(labels?.[activeLabelId] || '', null, 2)"></pre>
-                <pre class="text-sm text-gray-500 mb-2" x-text="JSON.stringify(jobs, null, 2)"></pre>
-                <pre class="text-sm text-gray-500 mb-2" x-text="JSON.stringify(tags, null, 2)"></pre>
-                <pre class="text-sm text-gray-500 mb-2" x-text="JSON.stringify(annoTagIds, null, 2)"></pre>
-            </aside>
-        </div>
-    </div>
-
-    <script>
-        function searchComponent(apiBase) {
-            return {
-                apiBase,
-                project: null,
-                labels: null,
-                tags: null,
-                activeLabelId: null,
-                activeTab: 'search',
-                heuristics: null,
-                decisions: null,
-                finetunes: null,
-                displayTags: [],
-                params: {
-                    heuristic_bucket: null,
-                    trainset_split: null,
-                    predictor_value: null,
-                    annotation_value: null,
-                    review_disagreements: false,
-                    querystring: '',
-                    tags: {
-                        any: [],
-                        all: [],
-                        not_any: [],
-                        not_all: [],
-                    },
-                },
-                trainsetConfig: {
-                    numExcluded: 1000,
-                    numNeutral: 1000,
-                    numLikely: 1000,
-                    numDecisionNeighbors: 50,
-                },
-                predictorConfig: {
-                    inferenceModel: '{{ label_class.default_inference_model }}',
-                    teacherModel: '{{ label_class.default_teacher_model }}',
-                },
-                annoTagIds: {
-                    "true": null,
-                    "false": null,
-                    "flag": null,
-                },
-                page: 1,
-                semantic_sort: '',
-                results: null,
-                total: null,
-                loading: false,
-                error: null,
-                jobs: {},
-                // UI Helpers
-                scrollToTop () {
-                    if (this.$refs && this.$refs.resultsContainer) {
-                        this.$refs.resultsContainer.scrollTo({ top: 0, behavior: 'smooth' });
-                    }
-                },
-                autoExpand(el) {
-                    if (!el) return;
-                    this.$nextTick(() => {
-                        el.style.height = 'auto';
-                        el.style.overflowY = 'hidden';
-                        el.style.minHeight = '40px';
-                        el.style.height = el.scrollHeight + 'px';
-                    });
-                },
-                createJob(jobName) {
-                    const id = (
-                        'job-' +
-                        Math.random().toString(36).slice(2, 10) +
-                        '-' +
-                        Date.now().toString(36)
-                    );
-                    this.jobs[id] = {
-                        id,
-                        name: jobName || null,
-                        status: 'pending',
-                        error: null,
-                    };
-                    return id;
-                },
-                updateJob(jobId, status, error = null) {
-                    if (!jobId || !this.jobs[jobId]) return;
-                    this.jobs[jobId].status = status;
-                    this.jobs[jobId].error = error;
-                },
-                jobsPending() {
-                    return Object.entries(this.jobs || {}).filter(([_, j]) => j && j.status === 'pending');
-                },
-                jobsErrors() {
-                    return Object.entries(this.jobs || {}).filter(([_, j]) => j && j.error);
-                },
-                dismissJob(jobId) {
-                    if (!jobId || !this.jobs) return;
-                    delete this.jobs[jobId];
-                },
-
-                // Data helpers
-                orderTagsByActiveLabel() {
-                    const allTags = Object.values(this.tags || {});
-                    if (!this.activeLabelId) {
-                        return {
-                            preferred: [],
-                            others: allTags.slice().sort((a, b) => a.slug.localeCompare(b.slug)),
-                        };
-                    }
-                    const preferred = [];
-                    const others = [];
-                    for (const t of allTags) {
-                        if (t.label_id === this.activeLabelId) {
-                            preferred.push(t);
-                        } else {
-                            others.push(t);
-                        }
-                    }
-                    preferred.sort((a, b) => a.slug.localeCompare(b.slug));
-                    others.sort((a, b) => a.slug.localeCompare(b.slug));
-                    return { preferred, others };
-                },
-                getTagsByPrefix(prefix, useActiveLabel=false) {
-                    const prefixTags = Object.values(this.tags || {}).filter(t => t && (t.slug || '').startsWith(prefix + ':'));
-                    if (useActiveLabel) {
-                        return prefixTags.filter(t => t.label_id === this.activeLabelId);
-                    }
-                    return prefixTags;
-                },
-                decisionForTextHash(textHash) {
-                    if (!textHash || !this.decisions) return null;
-                    const items = Object.values(this.decisions || {});
-                    return items.find(d => d && d.text_hash === textHash) || null;
-                },
-                goToDecisionByHash(textHash) {
-                    if (!textHash) return;
-                    this.activeTab = 'decisions';
-                    this.$nextTick(() => {
-                        const el = document.getElementById('decision-' + textHash);
-                        if (el && typeof el.scrollIntoView === 'function') {
-                            el.scrollIntoView({ behavior: 'smooth', block: 'start' });
-                            el.classList.add('ring-2', 'ring-blue-500');
-                            setTimeout(() => el.classList.remove('ring-2', 'ring-blue-500'), 1500);
-                        }
-                    });
-                },
-
-                // API
-                async apiFetch(path, { method = 'GET', body = null, jobName = null } = {}) {
-                    let jobId = null;
-
-                    if (jobName) {
-                        jobId = this.createJob(jobName);
-                    }
-
-                    try {
-                        const response = await fetch(`${this.apiBase}${path}`, {
-                            method,
-                            headers: {
-                                'Content-Type': 'application/json',
-                            },
-                            body: body ? JSON.stringify(body) : undefined,
-                        });
-
-                        let data = null;
-                        try {
-                            data = await response.json();
-                        } catch (_) {}
-
-                        if (!response.ok) {
-                            throw new Error(data.error);
-                        }
-
-                        if (jobId) {
-                            this.updateJob(jobId, 'success', null);
-                        }
-                        return data;
-                    } catch (e) {
-                        const msg = String(e);
-                        this.error = msg;
-                        if (jobId) {
-                            this.updateJob(jobId, 'error', msg);
-                        }
-                        return null;
-                    }
-                },
-
-                // Search
-                async search({ count = false, page = null } = {}) {
-                    this.activeTab = 'search';
-                    this.loading = true;
-                    if (page !== null) {
-                        this.page = page;
-                    } else {
-                        this.page = 1;
-                        this.total = null;
-                    }
-                    const data = await this.apiFetch('search/', {
-                        method: 'POST',
-                        body: {
-                            active_label_id: this.activeLabelId,
-                            params: this.params,
-                            page: this.page,
-                            count: count,
-                            semantic_sort: this.semantic_sort,
-                        },
-                    });
-                    if (data) {
-                        if (count) {
-                            this.total = data.total;
-                        } else {
-                            this.results = data;
-                            this.scrollToTop();
-                        }
-                    }
-                    this.loading = false;
-                },
-
-                // Project
-                async getProject() {
-                    const data = await this.apiFetch('project/', { method: 'GET' })
-                    if (!data) return;
-                    this.project = data.project || {};
-                },
-                async updateProjectInstructions(instructions) {
-                    await this.apiFetch('project/update-instructions/', {
-                        method: 'POST',
-                        body: { instructions: instructions || '' },
-                        jobName: 'Updating Project Instructions',
-                    });
-                    if (this.project) {
-                        this.project.instructions = instructions || '';
-                    }
-                },
-
-                // Labels
-                async getLabels() {
-                    const data = await this.apiFetch('labels/', { method: 'GET' });
-                    if (!data) return;
-                    this.labels = data.labels || {};
-                },
-                labelCountPercent(key) {
-                    const label = this.labels?.[this.activeLabelId];
-                    const counts = {
-                        excluded: label?.num_excluded || 0,
-                        neutral: label?.num_neutral || 0,
-                        likely: label?.num_likely || 0,
-                    };
-                    const total = counts.excluded + counts.neutral + counts.likely;
-                    return total ? (counts[key] / total) * 100 : 0;
-                },
-                async updateLabelInstructions(labelId, instructions) {
-                    if (!labelId) return;
-                    await this.apiFetch('labels/update-instructions/', {
-                        method: 'POST',
-                        body: { label_id: labelId, instructions: instructions || '' },
-                        jobName: 'Updating Label Instructions',
-                    });
-                    if (this.labels && this.labels[labelId]) {
-                        this.labels[labelId].instructions = instructions || '';
-                    }
-                },
-
-                async saveQuerystring(labelId, querystring, numExamples) {
-                    await this.apiFetch('labels/save-querystring/', {
-                        method: 'POST',
-                        body: { label_id: labelId, querystring: querystring, num_examples: numExamples },
-                        jobName: 'Saving Querystring',
-                    });
-                    await this.getLabels();
-                    this.activeTab = 'heuristics';
-                },
-
-                async deleteQuerystring(labelId, querystring) {
-                    await this.apiFetch('labels/delete-querystring/', {
-                        method: 'POST',
-                        body: { label_id: labelId, querystring: querystring },
-                        jobName: 'Deleting Querystring',
-                    });
-                    await this.getLabels();
-                },
-
-                // Tags
-                async getTags() {
-                    const data = await this.apiFetch('tags/', { method: 'GET' });
-                    if (!data) return;
-                    this.tags = data.tags || {};
-                },
-                exampleActiveAnnotation(result) {
-                    if (!result) return null;
-                    const tags = result.tags || [];
-                    if (this.annoTagIds.true && tags.includes(this.annoTagIds.true)) return 'true';
-                    if (this.annoTagIds.false && tags.includes(this.annoTagIds.false)) return 'false';
-                    if (this.annoTagIds.flag && tags.includes(this.annoTagIds.flag)) return 'flag';
-                    return null;
-                },
-                async annotate(exampleId, value, result) {
-                    if (!exampleId || !this.activeLabelId) return;
-                    const current = this.exampleActiveAnnotation(result);
-                    const newValue = (current === value) ? null : value;
-                    result.tags = result.tags.filter(t => t !== this.annoTagIds.true && t !== this.annoTagIds.false && t !== this.annoTagIds.flag);
-                    if (newValue) {
-                        result.tags.push(this.annoTagIds[newValue]);
-                    }
-                    await this.apiFetch('annotate/', {
-                        method: 'POST',
-                        body: { example_id: exampleId, label_id: this.activeLabelId, value: newValue },
-                    });
-                    await this.getTags();
-                    await this.getLabels();
-                },
-
-                // Decisions
-                async getDecisions(labelId = null) {
-                    const lid = labelId ?? this.activeLabelId;
-                    if (!lid) return;
-                    const data = await this.apiFetch('decisions/', { method: 'POST', body: { label_id: lid } });
-                    if (!data) return;
-                    this.decisions = data.decisions || {};
-                },
-                async updateDecision(labelId, textHash, value, reason) {
-                    await this.apiFetch('decision/update/', {
-                        method: 'POST',
-                        body: { text_hash: textHash, label_id: labelId, value: value, reason: reason},
-                        jobName: 'Updating Decision',
-                    });
-                    const decision = await this.getDecisions(this.activeLabelId);
-                    if (!decision) return;
-                    this.decisions[decision.id] = decision;
-                },
-                async deleteDecision(decisionId) {
-                    if (!decisionId) return;
-                    delete this.decisions[decisionId];
-                    const data = await this.apiFetch('decision/delete/', {
-                        method: 'POST',
-                        body: { decision_id: decisionId },
-                        jobName: 'Deleting Decision',
-                    });
-                    await this.getDecisions();
-                },
-
-                // Heuristics
-                async getHeuristics(labelId = null) {
-                    const lid = labelId ?? this.activeLabelId;
-                    if (!lid) return;
-                    const data = await this.apiFetch('heuristics/', { method: 'POST', body: { label_id: lid } });
-                    if (!data) return;
-                    this.heuristics = data.heuristics || {};
-                },
-                async syncCustomHeuristics() {
-                    await this.apiFetch('heuristics/sync-custom/', {
-                        method: 'POST',
-                        jobName: 'Syncing Custom Heuristics',
-                    });
-                    await this.getHeuristics();
-                    await this.getTags();
-                    await this.getLabels();
-                },
-                async createHeuristic() {
-                    if (!this.activeLabelId) return;
-                    const querystring = (this.params?.querystring || '').trim();
-                    if (!querystring) return;
-                    const data = await this.apiFetch('heuristic/add/', {
-                        method: 'POST',
-                        body: {
-                            label_id: this.activeLabelId,
-                            querystring: querystring,
-                        },
-                        jobName: 'Creating Heuristic',
-                    });
-                    await this.getHeuristics();
-                    this.activeTab = 'heuristics';
-                },
-                async applyHeuristic(heuristicId) {
-                    if (!heuristicId) return;
-                    if (this.heuristics && this.heuristics[heuristicId]) {
-                        this.heuristics[heuristicId].loading = true;
-                    }
-                    const data = await this.apiFetch('heuristics/apply/', {
-                        method: 'POST',
-                        body: { heuristic_id: heuristicId },
-                        jobName: 'Applying Heuristic',
-                    });
-                    if (this.heuristics && this.heuristics[heuristicId]) {
-                        this.heuristics[heuristicId].loading = false;
-                    }
-                    await this.getHeuristics();
-                    await this.getTags();
-                    await this.getLabels();
-                },
-                async toggleHeuristicFlag(heuristicId, flag) {
-                    if (!heuristicId || !flag) return;
-
-                    const data = await this.apiFetch('heuristics/set-flag/', {
-                        method: 'POST',
-                        body: { heuristic_id: heuristicId, flag },
-                        jobName: 'Updating Heuristic Flag',
-                    });
-                    await this.getHeuristics();
-                    await this.getLabels();
-                },
-                async deleteHeuristic(heuristicId) {
-                    if (!heuristicId) return;
-                    delete this.heuristics[heuristicId];
-                    const data = await this.apiFetch('heuristics/delete/', {
-                        method: 'POST',
-                        body: { heuristic_id: heuristicId },
-                        jobName: 'Deleting Heuristic',
-                    });
-                    await this.getHeuristics();
-                    await this.getTags();
-                    await this.getLabels();
-                },
-                lastHeuristicAppliedAt() {
-                    return this.heuristics && Object.values(this.heuristics).length ? Math.max(...Object.values(this.heuristics).map(h => new Date(h.applied_at))) : null;
-                },
-
-                // Predictor
-                async updateTrainset(labelId) {
-                    if (!labelId) return;
-                    await this.apiFetch('predictor/update-trainset/', {
-                        method: 'POST',
-                        body: {
-                            label_id: labelId,
-                            trainset_num_excluded: this.trainsetConfig.numExcluded,
-                            trainset_num_neutral: this.trainsetConfig.numNeutral,
-                            trainset_num_likely: this.trainsetConfig.numLikely,
-                            trainset_num_decision_neighbors: this.trainsetConfig.numDecisionNeighbors,
-                        },
-                        jobName: 'Resampling Trainset',
-                    });
-                    await this.getLabels();
-                    await this.getTags();
-                },
-                async updateTrainsetPreds(labelId) {
-                    if (!labelId) return;
-                    await this.apiFetch('predictor/update-trainset-preds/', {
-                        method: 'POST',
-                        body: { label_id: labelId },
-                        jobName: 'Updating Trainset Predictions',
-                    });
-                    await this.getLabels();
-                    await this.getTags();
-                },
-
-                // Finetunes
-                async getFinetunes(labelId = null) {
-                    const lid = labelId ?? this.activeLabelId;
-                    if (!lid) return;
-                    const data = await this.apiFetch('finetunes/', { method: 'POST', body: { label_id: lid } });
-                    if (!data) return;
-                    this.finetunes = data.finetunes || {};
-                },
-
-                // Initialization
-                async setActiveLabelId(labelId) {
-                    this.activeLabelId = Number(labelId);
-                    await this.getHeuristics(labelId);
-                    await this.getDecisions(labelId);
-                    await this.getFinetunes(labelId);
-                    this.trainsetConfig.numExcluded = this.labels?.[labelId]?.trainset_num_excluded || 1000;
-                    this.trainsetConfig.numNeutral = this.labels?.[labelId]?.trainset_num_neutral || 1000;
-                    this.trainsetConfig.numLikely = this.labels?.[labelId]?.trainset_num_likely || 1000;
-                    this.trainsetConfig.numDecisionNeighbors = this.labels?.[labelId]?.trainset_num_decision_neighbors || 50;
-                    this.predictorConfig.inferenceModel = this.labels?.[labelId]?.inference_model || '{{ label_class.default_inference_model }}';
-                    this.predictorConfig.teacherModel = this.labels?.[labelId]?.teacher_model || '{{ label_class.default_teacher_model }}';
-                    this.annoTagIds.true = this.getTagsByPrefix('anno:true', true).map(t => t.id).find(id => id !== null);
-                    this.annoTagIds.false = this.getTagsByPrefix('anno:false', true).map(t => t.id).find(id => id !== null);
-                    this.annoTagIds.flag = this.getTagsByPrefix('anno:flag', true).map(t => t.id).find(id => id !== null);
-                },
-                async init() {
-                    await this.getProject();
-                    await this.getLabels();
-                    await this.getTags();
-                    await this.setActiveLabelId(Object.values(this.labels)[0]?.id);
-                    await this.search();
-                },
-            }
-        }
-    </script>
-</div>
-{% endblock %}
\ No newline at end of file
diff --git a/clx/app/templates/search/predictor_tab.html b/clx/app/templates/search/predictor_tab.html
deleted file mode 100644
index 5a722f6..0000000
--- a/clx/app/templates/search/predictor_tab.html
+++ /dev/null
@@ -1,245 +0,0 @@
-<main
-    class="flex-1 min-h-0 overflow-y-auto pb-32 px-4 -mx-4"
-    x-show="activeTab === 'predictor'" x-cloak
-    x-data="{
-        getTrainsetStatus() {
-            const trainset_updated_at = new Date(this.labels?.[activeLabelId]?.trainset_updated_at);
-            const trainset_predictions_updated_at = new Date(this.labels?.[activeLabelId]?.trainset_predictions_updated_at);
-            if (!trainset_updated_at) return 'no_trainset';
-            if (!trainset_predictions_updated_at) return 'no_preds';
-            if (trainset_updated_at > trainset_predictions_updated_at) return 'preds_out_of_date';
-            return 'up_to_date';
-        },
-        isFitting() {
-            return this.jobs && Object.values(this.jobs).some(j => j.name === 'Fitting Predictor' && j.status === 'pending');
-        },
-        isSampling() {
-            return this.jobs && Object.values(this.jobs).some(j => j.name === 'Resampling Trainset' && j.status === 'pending');
-        },
-        isUpdatingPreds() {
-            return this.jobs && Object.values(this.jobs).some(j => j.name === 'Updating Trainset Predictions' && j.status === 'pending');
-        }
-    }"
->
-    <div class="py-4 flex flex-col gap-4">
-        <div class="bg-white border rounded-lg shadow-sm p-4">
-            <!-- Trainset -->
-            <div class="flex items-start justify-between gap-3 mb-3">
-                <h3 class="text-base font-medium text-gray-900">Trainset</h3>
-                <div class="text-xs text-gray-600">
-                    <template x-if="labels?.[activeLabelId]?.trainset_updated_at && !isSampling()">
-                        <span x-text="'Updated ' + new Date(labels?.[activeLabelId]?.trainset_updated_at).toLocaleString()"></span>
-                    </template>
-                    <span x-show="isSampling()">
-                        Resampling...
-                    </span>
-                </div>
-            </div>
-
-            <!-- Warnings -->
-            <template x-if="['no_trainset', 'no_preds', 'preds_out_of_date'].includes(getTrainsetStatus())">
-                <div class="mb-4 rounded border border-amber-200 bg-amber-50 p-3 text-sm text-amber-800">
-                    <span x-show="getTrainsetStatus() === 'no_trainset'">
-                        Train set has not been sampled yet.
-                    </span>
-                    <span x-show="getTrainsetStatus() === 'no_preds'">
-                        Predictions have not been applied yet.
-                    </span>
-                    <span x-show="getTrainsetStatus() === 'preds_out_of_date'">
-                        Predictions are out of date.
-                    </span>
-                </div>
-            </template>
-
-            <!-- Pos/Neg Bar -->
-            <template x-if="!['no_trainset', 'no_preds', 'preds_out_of_date'].includes(getTrainsetStatus())">
-                <div class="mb-4">
-                    <div class="flex items-center justify-between text-xs text-gray-700 mb-1">
-                        <div>
-                            <span class="inline-block h-2 w-2 rounded-sm bg-red-500 mr-2 align-middle"></span>
-                            <span class="align-middle">Negative (<span x-text="labels?.[activeLabelId]?.trainset_num_negative_preds || 0"></span>)</span>
-                        </div>
-                        <div>
-                            <span class="inline-block h-2 w-2 rounded-sm bg-green-500 mr-2 align-middle"></span>
-                            <span class="align-middle">Positive (<span x-text="labels?.[activeLabelId]?.trainset_num_positive_preds || 0"></span>)</span>
-                        </div>
-                    </div>
-                    <div class="flex h-2 w-full overflow-hidden rounded-full">
-                        <div
-                            class="bg-red-500"
-                            :style="(() => { const pos = labels?.[activeLabelId]?.trainset_num_positive_preds || 0; const neg = labels?.[activeLabelId]?.trainset_num_negative_preds || 0; const tot = pos + neg; const pct = tot ? (neg / tot) * 100 : 0; return `width: ${pct}%`; })()"
-                        ></div>
-                        <div
-                            class="bg-green-500"
-                            :style="(() => { const pos = labels?.[activeLabelId]?.trainset_num_positive_preds || 0; const neg = labels?.[activeLabelId]?.trainset_num_negative_preds || 0; const tot = pos + neg; const pct = tot ? (pos / tot) * 100 : 0; return `width: ${pct}%`; })()"
-                        ></div>
-                    </div>
-                </div>
-            </template>
-
-            <div class="flex flex-col gap-3">
-                <!-- TrainsetConfig -->
-                <div>
-                    <label class="block text-sm font-medium text-gray-700 mb-1">Examples per heuristic bucket</label>
-                    <div class="grid grid-cols-3 gap-3">
-                        <div>
-                            <label class="block text-sm text-gray-700 mb-1">Excluded</label>
-                            <input
-                                type="number"
-                                min="1"
-                                step="1"
-                                x-model.number="trainsetConfig.numExcluded"
-                                class="w-full rounded-md ring-1 ring-gray-300 focus:ring-blue-500 text-sm p-2"
-                                placeholder="e.g., 1000"
-                            />
-                        </div>
-                        <div>
-                            <label class="block text-sm text-gray-700 mb-1">Neutral</label>
-                            <input
-                                type="number"
-                                min="1"
-                                step="1"
-                                x-model.number="trainsetConfig.numNeutral"
-                                class="w-full rounded-md ring-1 ring-gray-300 focus:ring-blue-500 text-sm p-2"
-                                placeholder="e.g., 1000"
-                            />
-                        </div>
-                        <div>
-                            <label class="block text-sm text-gray-700 mb-1">Likely</label>
-                            <input
-                                type="number"
-                                min="1"
-                                step="1"
-                                x-model.number="trainsetConfig.numLikely"
-                                class="w-full rounded-md ring-1 ring-gray-300 focus:ring-blue-500 text-sm p-2"
-                                placeholder="e.g., 1000"
-                            />
-                        </div>
-                    </div>
-                    <p class="mt-1 text-xs text-gray-500 mb-3">Controls sampling for train/eval sets across Excluded/Neutral/Likely buckets.</p>
-
-                    <label class="block text-sm font-medium text-gray-700 mb-1">Number of decision neighbors</label>
-                    <div class="grid grid-cols-3 gap-3">
-                        <div>
-                            <input
-                                type="number"
-                                min="1"
-                                step="1"
-                                x-model.number="trainsetConfig.numDecisionNeighbors"
-                                class="w-full rounded-md ring-1 ring-gray-300 focus:ring-blue-500 text-sm p-2"
-                                placeholder="e.g., 50"
-                            />
-                        </div>
-                    </div>
-                    <p class="mt-1 text-xs text-gray-500">Sample similar examples to the examples used in your decsion boundary annotations.</p>
-                </div>
-                <!-- Buttons -->
-                <div class="flex gap-3 justify-end">
-                    <button
-                        type="button"
-                        class="inline-flex items-center justify-center rounded-md bg-blue-600 px-2 py-1 text-white text-xs hover:bg-blue-700 disabled:opacity-50"
-                        :disabled="!activeLabelId || isUpdatingPreds()"
-                        @click="await updateTrainsetPreds(activeLabelId)"
-                        x-show="['no_preds', 'preds_out_of_date'].includes(getTrainsetStatus())"
-                    >
-                        Update Predictions
-                    </button>
-                    <button
-                        type="button"
-                        class="inline-flex items-center justify-center rounded-md bg-blue-600 px-2 py-1 text-white text-xs hover:bg-blue-700 disabled:opacity-50"
-                        :disabled="!activeLabelId || isSampling()"
-                        @click="await updateTrainset(activeLabelId)"
-                    >
-                        Resample Trainset
-                    </button>
-                </div>
-            </div>
-        </div>
-        <div class="bg-white border rounded-lg shadow-sm p-4">
-            <!-- Predictor -->
-            <div class="flex items-start justify-between gap-3 mb-3">
-                <h3 class="text-base font-medium text-gray-900">Predictor</h3>
-            </div>
-
-            <div class="flex flex-col gap-3">
-                <!-- PredictorConfig -->
-                <div class="flex flex-col gap-4">
-                    <div x-data="{editing: false, newInstructions: ''}">
-                        <div class="flex items-center justify-between">
-                            <label class="block text-sm font-medium text-gray-700 mb-1">Label Instructions</label>
-                            <button
-                                type="button"
-                                class="rounded-md px-2 py-0.5 text-xs bg-gray-100 text-gray-700 hover:bg-gray-200"
-                                @click="newInstructions = labels?.[activeLabelId]?.instructions || ''; editing = !editing; if (editing) { autoExpand($refs.instructions); $nextTick(() => $refs.instructions.focus()); }"
-                            >
-                                Edit
-                            </button>
-                        </div>
-                        <p class="text-xs text-gray-500 mb-1">Label-specific instructions for initializing the DSPy predictor.</p>
-                        <div class="mt-2 rounded-md border border-gray-200 bg-gray-50 p-3" x-show="!editing">
-                            <pre class="text-gray-800 text-sm whitespace-pre-wrap break-words" x-text="labels?.[activeLabelId]?.instructions || ''"></pre>
-                            <p class="text-gray-500 italic" x-show="!labels?.[activeLabelId]?.instructions">No label instructions yet.</p>
-                        </div>
-                        <div class="mt-2" x-show="editing" x-cloak>
-                            <textarea x-ref="instructions" class="w-full rounded-md ring-1 ring-gray-300 focus:ring-blue-500 text-sm p-2" rows="3" x-model="newInstructions" placeholder="Enter instructions..." @input="autoExpand($el)"></textarea>
-                            <div class="mt-2 flex items-center gap-2 justify-end">
-                                <button
-                                    type="button"
-                                    class="inline-flex items-center justify-center rounded-md bg-blue-600 px-2 py-1 text-white text-xs hover:bg-blue-700"
-                                    @click="await updateLabelInstructions(activeLabelId, newInstructions); editing = false"
-                                >
-                                    Save
-                                </button>
-                                <button
-                                    type="button"
-                                    class="inline-flex items-center justify-center rounded-md bg-gray-200 px-2 py-1 text-gray-800 text-xs hover:bg-gray-300"
-                                    @click="editing = false"
-                                >
-                                    Cancel
-                                </button>
-                            </div>
-                        </div>
-                    </div>
-                    <div x-data="{editing: false, newInstructions: ''}">
-                        <div class="flex items-center justify-between">
-                            <label class="block text-sm font-medium text-gray-700 mb-1">Project Instructions</label>
-                            <button
-                                type="button"
-                                class="rounded-md px-2 py-0.5 text-xs bg-gray-100 text-gray-700 hover:bg-gray-200"
-                                @click="newInstructions = project?.instructions || ''; editing = !editing; if (editing) {autoExpand($refs.instructions); $nextTick(() => $refs.instructions.focus());}"
-                            >
-                                Edit
-                            </button>
-                        </div>
-                        <p class="text-xs text-gray-500 mb-1">Global, project-wide instructions for initializing the DSPy predictor that apply to all labels.</p>
-                        <div class="mt-2 rounded-md border border-gray-200 bg-gray-50 p-3" x-show="!editing">
-                            <pre class="text-gray-800 text-sm whitespace-pre-wrap break-words" x-text="project?.instructions || ''"></pre>
-                            <p class="text-gray-500 italic" x-show="!project?.instructions">No project instructions yet.</p>
-                        </div>
-                        <div class="mt-2" x-show="editing" x-cloak>
-                            <textarea x-ref="instructions" class="w-full rounded-md ring-1 ring-gray-300 focus:ring-blue-500 text-sm p-2" rows="3" x-model="newInstructions" placeholder="Enter instructions..." @input="autoExpand($el)"></textarea>
-                            <div class="mt-2 flex items-center gap-2 justify-end">
-                                <button
-                                    type="button"
-                                    class="inline-flex items-center justify-center rounded-md bg-blue-600 px-2 py-1 text-white text-xs hover:bg-blue-700"
-                                    @click="await updateProjectInstructions(newInstructions); editing = false"
-                                >
-                                    Save
-                                </button>
-                                <button
-                                    type="button"
-                                    class="inline-flex items-center justify-center rounded-md bg-gray-200 px-2 py-1 text-gray-800 text-xs hover:bg-gray-300"
-                                    @click="editing = false"
-                                >
-                                    Cancel
-                                </button>
-                            </div>
-                        </div>
-                    </div>
-                </div>
-            </div>
-        </div>
-    </div>
-</main>
-
-
diff --git a/clx/app/templates/search/results_tab.html b/clx/app/templates/search/results_tab.html
deleted file mode 100644
index 05b8fe4..0000000
--- a/clx/app/templates/search/results_tab.html
+++ /dev/null
@@ -1,183 +0,0 @@
-<main class="flex-1 min-h-0 overflow-y-auto pb-32 px-4 -mx-4" x-ref="resultsContainer" x-show="activeTab === 'search'" x-cloak>
-    <div class="flex flex-col gap-4 py-4">
-        <template x-for="(result, idx) in (results?.data || [])" :key="idx">
-            <div class="bg-white border rounded-lg shadow-sm p-4" x-data="{ showAddDecision: false, addReason: '', addValue: true }">
-                <div class="flex items-start justify-between mb-2">
-                    <div class="flex items-center gap-2">
-                        <button
-                            type="button"
-                            class="text-sm text-gray-500 hover:text-gray-700"
-                            @click="semantic_sort = result.text; search()"
-                        ><i class="fa-solid fa-circle-nodes"></i></button>
-                        <div class="text-sm text-gray-500" x-text="result.id"></div>
-                    </div>
-                    <div class="flex items-center gap-2">
-                        <button
-                            type="button"
-                            class="rounded-md px-2 py-0.5 text-xs bg-gray-100 text-gray-700 hover:bg-gray-200"
-                            x-show="!decisionForTextHash(result.text_hash);"
-                            @click="showAddDecision = true"
-                        >Decision</button>
-                        <button
-                            type="button"
-                            class="rounded-md px-2 py-0.5 text-xs bg-gray-900 text-white hover:bg-gray-800"
-                            x-show="decisionForTextHash(result.text_hash);"
-                            @click="goToDecisionByHash(result.text_hash)"
-                        >Decision</button>
-                        <div
-                            x-data="{ annotating: false }"
-                            class="inline-flex items-center gap-2 rounded-full border border-gray-200 bg-white px-1 text-sm"
-                        >
-                            <button
-                                type="button"
-                                class="rounded-full disabled:opacity-50"
-                                :disabled="annotating || !activeLabelId"
-                                @click="annotating=true; await annotate(result.id, 'true', result); annotating=false;"
-                            >
-                                <i class="fa-circle-check"
-                                    :class="exampleActiveAnnotation(result) === 'true' ? 'fa-solid text-green-600' : 'fa-regular text-gray-500 hover:text-gray-700'"
-                                ></i>
-                            </button>
-                            <button
-                                type="button"
-                                class="rounded-full disabled:opacity-50"
-                                :disabled="annotating || !activeLabelId"
-                                @click="annotating=true; await annotate(result.id, 'false', result); annotating=false;"
-                            >
-                                <i class="fa-circle-xmark"
-                                    :class="exampleActiveAnnotation(result) === 'false' ? 'fa-solid text-red-600' : 'fa-regular text-gray-500 hover:text-gray-700'"
-                                ></i>
-                            </button>
-                            <button
-                                type="button"
-                                class="rounded-full disabled:opacity-50"
-                                :disabled="annotating || !activeLabelId"
-                                @click="annotating=true; await annotate(result.id, 'flag', result); annotating=false;"
-                            >
-                                <i
-                                    class="fa-circle-right"
-                                    :class="exampleActiveAnnotation(result) === 'flag' ? 'fa-solid text-amber-600' : 'fa-regular text-gray-500 hover:text-gray-700'"
-                                ></i>
-                            </button>
-                        </div>
-                    </div>
-                </div>
-                <!-- Add decision form -->
-                <div class="my-3" x-show="showAddDecision" @click.outside="showAddDecision = false" x-cloak>
-                    <div class="grid grid-cols-1 md:grid-cols-[1fr_12rem] gap-3 items-stretch">
-                        <textarea
-                            class="w-full rounded-md bg-white ring-1 ring-gray-300 focus:ring-blue-500 text-sm p-2"
-                            rows="2"
-                            x-model="addReason"
-                            placeholder="Enter reason…"
-                        ></textarea>
-                        <div class="flex flex-col gap-2 justify-between">
-                            <div class="flex items-center gap-2">
-                                <button
-                                    type="button"
-                                    class="rounded-md w-full px-2 py-0.5 text-xs"
-                                    :class="addValue ? 'bg-green-500 text-white hover:bg-green-600' : 'bg-gray-100 text-gray-700 hover:bg-gray-200'"
-                                    @click="addValue = true"
-                                >Positive</button>
-                                <button
-                                    type="button"
-                                    class="rounded-md w-full px-2 py-0.5 text-xs"
-                                    :class="!addValue ? 'bg-red-500 text-white hover:bg-red-600' : 'bg-gray-100 text-gray-700 hover:bg-gray-200'"
-                                    @click="addValue = false"
-                                >Negative</button>
-                            </div>
-                            <div class="flex w-full">
-                                <button
-                                    type="button"
-                                    class="inline-flex w-full items-center justify-center rounded-md bg-blue-600 px-2 py-1 text-white text-xs hover:bg-blue-700 disabled:opacity-50"
-                                    :disabled="!activeLabelId || !(addReason && addReason.trim())"
-                                    @click="showAddDecision = false; await updateDecision(activeLabelId, result.text_hash, addValue, addReason); addReason = ''; addValue = true;"
-                                >
-                                    Submit Decision
-                                </button>
-                            </div>
-                        </div>
-                    </div>
-                </div>
-                <div class="prose prose-sm max-w-none mb-3">
-                    <p x-text="result.text"></p>
-                </div>
-                <template x-if="result.split">
-                    <div class="my-3 rounded-md border border-gray-200 bg-gray-50 p-3">
-                        <div class="flex items-center justify-between mb-1 text-xs font-medium">
-                            <div class="flex items-center gap-3">
-                                <div x-show="result.pred">
-                                    <i class="fa-regular fa-circle-check text-green-600 me-1"></i> Predicted True
-                                </div>
-                                <div x-show="!result.pred">
-                                    <i class="fa-regular fa-circle-xmark text-red-600 me-1"></i> Predicted False
-                                </div>
-                                <template x-for="ft in (Object.values(finetunes || {}))" :key="ft.id">
-                                    <span
-                                        class="inline-flex items-center rounded-full px-2 py-0.5 ring-1 ring-inset"
-                                        :class="((() => { const tagId = (getTagsByPrefix('trainset:ft:' + (ft?.config_name || ''), true).map(t => t.id).find(id => id !== null)); return tagId && (result.tags || []).includes(tagId); })()) ? 'ring-green-600 text-green-600' : 'ring-red-600 text-red-600'"
-                                    >
-                                        <i
-                                            :class="((() => { const tagId = (getTagsByPrefix('trainset:ft:' + (ft?.config_name || ''), true).map(t => t.id).find(id => id !== null)); return tagId && (result.tags || []).includes(tagId); })()) ? 'fa-regular fa-circle-check me-1' : 'fa-regular fa-circle-xmark me-1'"
-                                        ></i>
-                                        <span x-text="'FT: ' + (ft?.config_name || '')"></span>
-                                    </span>
-                                </template>
-                            </div>
-                            <div class="text-gray-500">
-                                Trainset: <span x-text="result.split.toLocaleUpperCase()"></span>
-                            </div>
-                        </div>
-                        <div class="text-sm text-gray-800 whitespace-pre-wrap break-words" x-text="result.reason"></div>
-                    </div>
-                </template>
-                <div class="flex flex-wrap gap-2">
-                    <template x-for="tag_id in (result.tags || []).filter(tid => (displayTags || []).includes(tid))" :key="tag_id">
-                        <span
-                            class="inline-flex items-center rounded-full bg-blue-100 px-2 py-1 text-xs text-gray-700"
-                            x-text="tags?.[tag_id]?.slug"
-                            x-show="tags?.[tag_id]?.slug"
-                        ></span>
-                    </template>
-                </div>
-                <div class="flex flex-wrap gap-2">
-                    <template x-for="tag_id in (result.tags || []).filter(tid => tags?.[tid]?.slug?.startsWith('ft:'))" :key="tag_id">
-                        <span
-                            class="inline-flex items-center rounded-full bg-indigo-500 px-2 py-1 text-xs text-white font-medium"
-                            x-text="labels?.[tags?.[tag_id]?.label_id]?.name"
-                            x-show="labels?.[tags?.[tag_id]?.label_id]?.name"
-                        ></span>
-                    </template>
-                </div>
-            </div>
-        </template>
-    </div>
-    <!-- Pagination footer -->
-    <div class="mt-4 border-t border-gray-200 pt-3">
-        <div class="flex items-center justify-between">
-            <div class="text-sm text-gray-600">
-                Page <span x-text="page"></span>
-            </div>
-            <div class="flex items-center gap-2">
-                <button
-                    type="button"
-                    class="rounded-md px-3 py-1.5 text-sm bg-gray-100 text-gray-700 hover:bg-gray-200 disabled:opacity-50"
-                    :disabled="loading || page <= 1"
-                    @click="await search({ page: Math.max(1, page - 1) })"
-                    title="Previous page"
-                >
-                    <i class="fa-solid fa-chevron-left"></i>
-                </button>
-                <button
-                    type="button"
-                    class="rounded-md px-3 py-1.5 text-sm bg-gray-100 text-gray-700 hover:bg-gray-200 disabled:opacity-50"
-                    :disabled="loading"
-                    @click="await search({ page: page + 1 })"
-                    title="Next page"
-                >
-                    <i class="fa-solid fa-chevron-right"></i>
-                </button>
-            </div>
-        </div>
-    </div>
-</main>
\ No newline at end of file
diff --git a/clx/app/templates/search/search_panel.html b/clx/app/templates/search/search_panel.html
deleted file mode 100644
index 5da852f..0000000
--- a/clx/app/templates/search/search_panel.html
+++ /dev/null
@@ -1,412 +0,0 @@
-<aside class="bg-white border rounded-lg shadow-sm my-4 p-4 overflow-hidden h-[calc(100%-2rem)] relative">
-    <div class="absolute inset-0 overflow-y-auto pb-96 p-4">
-    <!-- Search header -->
-    <div class="flex items-center justify-between mb-3">
-        <h2 class="font-medium">Search</h2>
-        <div class="text-sm text-gray-500" x-text="total" x-show="total"></div>
-        <button
-            @click="search({count: true, page: page})"
-            class="inline-flex items-center justify-center rounded-md bg-blue-600 px-2 py-1 text-xs text-white hover:bg-blue-700 disabled:opacity-50"
-            x-show="!total"
-            :disabled="loading"
-        >Count</button>
-    </div>
-
-    <!-- Querystring field -->
-    <div class="mb-1 mt-3" x-data="{open: false}">
-        <div class="flex items-center justify-between">
-            <label class="block text-sm text-gray-600 font-medium">Querystring</label>
-            <button
-                type="button"
-                class="text-gray-500 hover:text-gray-700"
-                @click="open = !open"
-            >
-                <i class="fa-solid fa-info-circle"></i>
-            </button>
-        </div>
-        <div
-            x-show="open" x-cloak
-            @click.outside="open = false"
-            class="rounded-md border border-gray-200 bg-white p-3 text-xs shadow-lg mb-3"
-        >
-            <ul class="list-disc pl-4 space-y-1">
-                <li>Exact substring match on terms or phrases</li>
-                <li>Case insensitive</li>
-                <li>Use comma for AND, pipe for OR, tilde for NOT, caret for startswith</li>
-                <li>ORs are grouped within AND clauses</li>
-            </ul>
-            <div class="mt-2 text-xs text-gray-600">
-                Examples:
-                <div class="mt-1 font-mono break-words">complaint, ^order, ~dismiss</div>
-                <div class="font-mono break-words">appeal|remand</div>
-            </div>
-        </div>
-    </div>
-    <input
-        type="text"
-        x-model="params.querystring"
-        @keydown.enter.prevent="search()"
-        placeholder="Enter query…"
-        class="w-full p-2 rounded-md bg-white ring-1 ring-gray-300 focus:ring-blue-500"
-    />
-    <div class="mt-2 flex items-center justify-end gap-2">
-        <span
-            role="button"
-            @click="(params.querystring && params.querystring.trim()) ? saveQuerystring(activeLabelId, params.querystring, 50) : null"
-            class="inline-flex items-center rounded-md bg-gray-200 px-2 py-1 text-xs text-gray-700"
-            :class="(params.querystring && params.querystring.trim()) ? 'cursor-pointer hover:bg-gray-300' : 'opacity-50 pointer-events-none'"
-        >Add as sampler</span>
-        <span
-            role="button"
-            @click="(params.querystring && params.querystring.trim()) ? createHeuristic() : null"
-            class="inline-flex items-center rounded-md bg-gray-200 px-2 py-1 text-xs text-gray-700"
-            :class="(params.querystring && params.querystring.trim()) ? 'cursor-pointer hover:bg-gray-300' : 'opacity-50 pointer-events-none'"
-        >Save as heuristic</span>
-    </div>
-
-    <!-- Heuristic bucket -->
-    <label class="block text-sm text-gray-600 font-medium mb-1 mt-2">Heuristic bucket</label>
-    <div class="flex w-full rounded-md overflow-hidden border border-gray-300">
-        <button
-            type="button"
-            class="flex-1 px-3 py-1.5 text-sm text-center transition"
-            @click="params.heuristic_bucket = (params.heuristic_bucket === 'excluded' ? null : 'excluded'); search();"
-            :aria-pressed="params.heuristic_bucket === 'excluded'"
-            :class="params.heuristic_bucket === 'excluded' ? 'bg-red-300' : 'bg-white text-gray-700 hover:bg-gray-50'"
-        >Excluded</button>
-        <button
-            type="button"
-            class="flex-1 px-3 py-1.5 text-sm text-center transition border-l border-gray-300"
-            @click="params.heuristic_bucket = (params.heuristic_bucket === 'neutral' ? null : 'neutral'); search();"
-            :aria-pressed="params.heuristic_bucket === 'neutral'"
-            :class="params.heuristic_bucket === 'neutral' ? 'bg-amber-300' : 'bg-white text-gray-700 hover:bg-gray-50'"
-        >Neutral</button>
-        <button
-            type="button"
-            class="flex-1 px-3 py-1.5 text-sm text-center transition border-l border-gray-300"
-            @click="params.heuristic_bucket = (params.heuristic_bucket === 'likely' ? null : 'likely'); search();"
-            :aria-pressed="params.heuristic_bucket === 'likely'"
-            :class="params.heuristic_bucket === 'likely' ? 'bg-blue-300' : 'bg-white text-gray-700 hover:bg-gray-50'"
-        >Likely</button>
-    </div>
-
-    <!-- Trainset split -->
-    <label class="block text-sm text-gray-600 font-medium mb-1 mt-4">Trainset Split</label>
-    <div class="flex w-full rounded-md overflow-hidden border border-gray-300">
-        <button
-            type="button"
-            class="flex-1 px-3 py-1.5 text-sm text-center transition"
-            @click="params.trainset_split = (params.trainset_split === 'train' ? null : 'train'); search();"
-            :aria-pressed="params.trainset_split === 'train'"
-            :class="params.trainset_split === 'train' ? 'bg-blue-300' : 'bg-white text-gray-700 hover:bg-gray-50'"
-        >Train</button>
-        <button
-            type="button"
-            class="flex-1 px-3 py-1.5 text-sm text-center transition border-l border-gray-300"
-            @click="params.trainset_split = (params.trainset_split === 'eval' ? null : 'eval'); search();"
-            :aria-pressed="params.trainset_split === 'eval'"
-            :class="params.trainset_split === 'eval' ? 'bg-blue-300' : 'bg-white text-gray-700 hover:bg-gray-50'"
-        >Eval</button>
-        <button
-            type="button"
-            class="flex-1 px-3 py-1.5 text-sm text-center transition border-l border-gray-300"
-            @click="params.trainset_split = (params.trainset_split === 'both' ? null : 'both'); search();"
-            :aria-pressed="params.trainset_split === 'both'"
-            :class="params.trainset_split === 'both' ? 'bg-blue-300' : 'bg-white text-gray-700 hover:bg-gray-50'"
-        >Both</button>
-    </div>
-
-    <!-- Predictor value -->
-    <label class="block text-sm text-gray-600 font-medium mb-1 mt-4">Predictor Value</label>
-    <div class="flex w-full rounded-md overflow-hidden border border-gray-300">
-        <button
-            type="button"
-            class="flex-1 px-3 py-1.5 text-sm text-center transition"
-            @click="params.predictor_value = (params.predictor_value === 'true' ? null : 'true'); search();"
-            :aria-pressed="params.predictor_value === 'true'"
-            :class="params.predictor_value === 'true' ? 'bg-green-300' : 'bg-white text-gray-700 hover:bg-gray-50'"
-        >True</button>
-        <button
-            type="button"
-            class="flex-1 px-3 py-1.5 text-sm text-center transition border-l border-gray-300"
-            @click="params.predictor_value = (params.predictor_value === 'false' ? null : 'false'); search();"
-            :aria-pressed="params.predictor_value === 'false'"
-            :class="params.predictor_value === 'false' ? 'bg-red-300' : 'bg-white text-gray-700 hover:bg-gray-50'"
-        >False</button>
-    </div>
-
-    <!-- Manual annotation -->
-    <label class="block text-sm text-gray-600 font-medium mb-1 mt-4">Manual Annotation</label>
-    <div class="flex w-full rounded-md overflow-hidden border border-gray-300">
-        <button
-            type="button"
-            class="flex-1 px-3 py-1.5 text-sm text-center transition"
-            @click="params.annotation_value = (params.annotation_value === 'true' ? null : 'true'); search();"
-            :aria-pressed="params.annotation_value === 'true'"
-            :class="params.annotation_value === 'true' ? 'bg-green-300' : 'bg-white text-gray-700 hover:bg-gray-50'"
-        >True</button>
-        <button
-            type="button"
-            class="flex-1 px-3 py-1.5 text-sm text-center transition border-l border-gray-300"
-            @click="params.annotation_value = (params.annotation_value === 'false' ? null : 'false'); search();"
-            :aria-pressed="params.annotation_value === 'false'"
-            :class="params.annotation_value === 'false' ? 'bg-red-300' : 'bg-white text-gray-700 hover:bg-gray-50'"
-        >False</button>
-        <button
-            type="button"
-            class="flex-1 px-3 py-1.5 text-sm text-center transition border-l border-gray-300"
-            @click="params.annotation_value = (params.annotation_value === 'flag' ? null : 'flag'); search();"
-            :aria-pressed="params.annotation_value === 'flag'"
-            :class="params.annotation_value === 'flag' ? 'bg-amber-300' : 'bg-white text-gray-700 hover:bg-gray-50'"
-        >Flag</button>
-        <button
-            type="button"
-            class="flex-1 px-3 py-1.5 text-sm text-center transition border-l border-gray-300"
-            @click="params.annotation_value = (params.annotation_value === 'any' ? null : 'any'); search();"
-            :aria-pressed="params.annotation_value === 'any'"
-            :class="params.annotation_value === 'any' ? 'bg-blue-300' : 'bg-white text-gray-700 hover:bg-gray-50'"
-        >Any</button>
-        <button
-            type="button"
-            class="flex-1 px-3 py-1.5 text-sm text-center transition border-l border-gray-300"
-            @click="params.annotation_value = (params.annotation_value === 'none' ? null : 'none'); search();"
-            :aria-pressed="params.annotation_value === 'none'"
-            :class="params.annotation_value === 'none' ? 'bg-gray-300' : 'bg-white text-gray-700 hover:bg-gray-50'"
-        >None</button>
-    </div>
-
-    <!-- Review disagreements -->
-    <label class="block text-sm text-gray-600 font-medium mb-1 mt-4">Review Disagreements</label>
-    <div class="flex w-full rounded-md overflow-hidden border border-gray-300">
-        <button
-            type="button"
-            class="flex-1 px-3 py-1.5 text-sm text-center transition"
-            @click="params.review_disagreements = !params.review_disagreements; search();"
-            :aria-pressed="!!params.review_disagreements"
-            :class="params.review_disagreements ? 'bg-purple-300' : 'bg-white text-gray-700 hover:bg-gray-50'"
-        >Review</button>
-    </div>
-
-    <!-- Semantic sort field -->
-    <label class="block text-sm text-gray-600 font-medium mb-1 mt-4">Semantic Sort</label>
-    <textarea
-        x-model="semantic_sort"
-        @keydown.enter.prevent="search()"
-        placeholder="Enter semantic sort…"
-        class="w-full p-2 rounded-md bg-white ring-1 ring-gray-300 focus:ring-blue-500"
-    ></textarea>
-
-    <!-- Tags fields -->
-    <div class="mt-3" x-data="{
-        tagGroups: [
-            { key: 'any', name: 'Has any:' },
-            { key: 'all', name: 'Has all:' },
-            { key: 'not_any', name: 'Does not have any:' },
-            { key: 'not_all', name: 'Does not have all:' },
-        ],
-        toggleTag(groupKey, tagId) {
-            if (!this.params?.tags?.[groupKey]) return;
-            const selected = this.params.tags[groupKey];
-            const idx = selected.indexOf(tagId);
-            if (idx === -1) {
-                selected.push(tagId);
-            } else {
-                selected.splice(idx, 1);
-            }
-        },
-        isTagSelected(groupKey, tagId) {
-            return (this.params?.tags?.[groupKey] || []).includes(tagId);
-        },
-        clearTags(groupKey) {
-            if (this.params?.tags?.[groupKey]) {
-                this.params.tags[groupKey] = [];
-            }
-        },
-    }">
-        <label class="block text-sm text-gray-600 font-medium">Tags</label>
-        <template x-for="group in tagGroups" :key="group.key">
-            <div class="mb-1" x-data="{ open: false }">
-                <div class="flex items-center justify-between">
-                    <label class="block text-xs text-gray-600" x-text="group.name"></label>
-                    <div class="flex items-center gap-2">
-                        <button
-                            type="button"
-                            class="text-xs text-gray-500 hover:text-gray-700"
-                            @click="clearTags(group.key)"
-                            x-show="(params.tags?.[group.key] || []).length"
-                        >Clear</button>
-                        <button
-                            type="button"
-                            class="text-gray-500 hover:text-gray-700"
-                            @click="open = !open"
-                            :aria-expanded="open ? 'true' : 'false'"
-                        >
-                            <i class="fa-solid fa-chevron-down transition-transform duration-150" :class="open ? 'rotate-180' : ''"></i>
-                        </button>
-                    </div>
-                </div>
-                <!-- Collapsed summary of selected tags -->
-                <div class="mt-1" x-show="!open && (params.tags?.[group.key] || []).length" x-cloak>
-                    <div class="flex flex-wrap gap-1">
-                        <template x-for="tid in (params.tags?.[group.key] || [])" :key="`${group.key}-chip-${tid}`">
-                            <span class="inline-flex items-center rounded-full bg-blue-100 px-2 py-0.5 text-xs text-gray-700" x-text="tags?.[tid]?.slug || tid"></span>
-                        </template>
-                    </div>
-                </div>
-                <!-- Dropdown -->
-                <div
-                    x-show="open" x-cloak
-                    @click.outside="open = false"
-                    class="mt-1 rounded-md border border-gray-200 bg-white text-sm shadow-lg"
-                >
-                    <div class="max-h-64 overflow-auto py-1">
-                        <!-- Preferred for active label -->
-                        <template x-if="orderTagsByActiveLabel().preferred.length">
-                            <div>
-                                <div class="px-3 py-1.5 text-xs font-medium text-gray-600">Active label</div>
-                                <template x-for="t in orderTagsByActiveLabel().preferred" :key="`preferred-${group.key}-${t.id}`">
-                                    <button
-                                        type="button"
-                                        class="flex w-full items-center text-start justify-between px-3 py-1.5 hover:bg-gray-50"
-                                        @click="toggleTag(group.key, t.id)"
-                                    >
-                                        <span class="break-all" x-text="t.slug"></span>
-                                        <span
-                                            class="ml-2 h-4 w-4 rounded border border-gray-300 flex items-center justify-center"
-                                            :class="isTagSelected(group.key, t.id) ? 'bg-blue-600 border-blue-600 text-white' : 'bg-white text-transparent'"
-                                        >
-                                            <i class="fa-solid fa-check text-[10px] leading-none"></i>
-                                        </span>
-                                    </button>
-                                </template>
-                                <div class="my-1 border-t-2 border-gray-200"></div>
-                            </div>
-                        </template>
-                        <!-- Other tags -->
-                        <template x-for="t in orderTagsByActiveLabel().others" :key="`other-${group.key}-${t.id}`">
-                            <button
-                                type="button"
-                                class="flex w-full items-center text-start justify-between px-3 py-1.5 hover:bg-gray-50"
-                                @click="toggleTag(group.key, t.id)"
-                            >
-                                <span class="break-all" x-text="t.slug"></span>
-                                <span
-                                    class="ml-2 h-4 w-4 rounded border border-gray-300 flex items-center justify-center"
-                                    :class="isTagSelected(group.key, t.id) ? 'bg-blue-600 border-blue-600 text-white' : 'bg-white text-transparent'"
-                                >
-                                    <i class="fa-solid fa-check text-[10px] leading-none"></i>
-                                </span>
-                            </button>
-                        </template>
-                    </div>
-                </div>
-            </div>
-        </template>
-    </div>
-    <!-- Display options -->
-    <div class="mt-3 border border-gray-200 py-3 rounded-md" x-data="{
-        toggleDisplayTag(tagId) {
-            if (!this.displayTags) this.displayTags = [];
-            const idx = this.displayTags.indexOf(tagId);
-            if (idx === -1) {
-                this.displayTags.push(tagId);
-            } else {
-                this.displayTags.splice(idx, 1);
-            }
-        },
-        isDisplayTagSelected(tagId) {
-            return (this.displayTags || []).includes(tagId);
-        },
-        clearDisplayTags() {
-            this.displayTags = [];
-        },
-    }">
-        <div x-data="{ open: false }">
-            <div class="flex items-center justify-between px-3">
-                <label class="block text-xs text-gray-600">Display tags:</label>
-                <div class="flex items-center gap-2">
-                    <button
-                        type="button"
-                        class="text-xs text-gray-500 hover:text-gray-700"
-                        @click="clearDisplayTags()"
-                        x-show="(displayTags || []).length"
-                    >Clear</button>
-                    <button
-                        type="button"
-                        class="text-gray-500 hover:text-gray-700"
-                        @click="open = !open"
-                        :aria-expanded="open ? 'true' : 'false'"
-                    >
-                        <i class="fa-solid fa-chevron-down transition-transform duration-150" :class="open ? 'rotate-180' : ''"></i>
-                    </button>
-                </div>
-            </div>
-            <!-- Collapsed summary of selected display tags -->
-            <div class="mt-1 px-3" x-show="!open && (displayTags || []).length" x-cloak>
-                <div class="flex flex-wrap gap-1">
-                    <template x-for="tid in (displayTags || [])" :key="`display-chip-${tid}`">
-                        <span class="inline-flex items-center rounded-full bg-blue-100 px-2 py-0.5 text-xs text-gray-700" x-text="tags?.[tid]?.slug || tid"></span>
-                    </template>
-                </div>
-            </div>
-            <!-- Dropdown -->
-            <div
-                x-show="open" x-cloak
-                @click.outside="open = false"
-                class="mt-1 text-sm border-t border-gray-200"
-            >
-                <div class="max-h-64 overflow-auto py-1">
-                    <!-- Preferred for active label -->
-                    <template x-if="orderTagsByActiveLabel().preferred.length">
-                        <div>
-                            <div class="px-3 py-1.5 text-xs font-medium text-gray-600">Active label</div>
-                            <template x-for="t in orderTagsByActiveLabel().preferred" :key="`display-preferred-${t.id}`">
-                                <button
-                                    type="button"
-                                    class="flex w-full items-center text-start justify-between px-3 py-1.5 hover:bg-gray-50"
-                                    @click="toggleDisplayTag(t.id)"
-                                >
-                                    <span class="break-all" x-text="t.slug"></span>
-                                    <span
-                                        class="ml-2 h-4 w-4 rounded border border-gray-300 flex items-center justify-center"
-                                        :class="isDisplayTagSelected(t.id) ? 'bg-blue-600 border-blue-600 text-white' : 'bg-white text-transparent'"
-                                    >
-                                        <i class="fa-solid fa-check text-[10px] leading-none"></i>
-                                    </span>
-                                </button>
-                            </template>
-                            <div class="my-1 border-t-2 border-gray-200"></div>
-                        </div>
-                    </template>
-                    <!-- Other tags -->
-                    <template x-for="t in orderTagsByActiveLabel().others" :key="`display-other-${t.id}`">
-                        <button
-                            type="button"
-                            class="flex w-full items-center text-start justify-between px-3 py-1.5 hover:bg-gray-50"
-                            @click="toggleDisplayTag(t.id)"
-                        >
-                            <span class="break-all" x-text="t.slug"></span>
-                            <span
-                                class="ml-2 h-4 w-4 rounded border border-gray-300 flex items-center justify-center"
-                                :class="isDisplayTagSelected(t.id) ? 'bg-blue-600 border-blue-600 text-white' : 'bg-white text-transparent'"
-                            >
-                                <i class="fa-solid fa-check text-[10px] leading-none"></i>
-                            </span>
-                        </button>
-                    </template>
-                </div>
-            </div>
-        </div>
-    </div>
-    </div>
-    <div class="absolute left-0 right-0 bottom-0 p-4 bg-white border-t border-gray-200">
-        <button
-            @click="search()"
-            class="w-full inline-flex items-center justify-center rounded-md bg-blue-600 px-3 py-2 text-white hover:bg-blue-700 disabled:opacity-50"
-            :disabled="loading"
-        >
-            <span x-show="!loading">Search</span>
-            <span x-show="loading">Loading...</span>
-        </button>
-    </div>
-</aside>
\ No newline at end of file
diff --git a/clx/app/tools.py b/clx/app/tools.py
new file mode 100644
index 0000000..45ffbce
--- /dev/null
+++ b/clx/app/tools.py
@@ -0,0 +1,455 @@
+import logging
+import time
+from typing import Literal
+
+from pydantic import BaseModel, Field
+from shortuuid import ShortUUID
+
+from clx.app.search import Query
+from clx.llm.agent import Tool
+
+_su = ShortUUID()
+logger = logging.getLogger("clx.llm")
+
+
+class Search(Tool):
+    """Search documents in the project using a structured query.
+
+    Build queries using Contains, StartsWith, Not, Or, and And nodes.
+    All text matching is case-insensitive.
+
+    Performance tip: complex queries with many OR branches are expensive.
+    Prefer running several simple searches over one large compound query.
+    That said, don't shy away from And/Not/Or when you genuinely need
+    the expressive power — just keep each individual query focused.
+    """
+
+    query: Query | None = Field(
+        default=None,
+        description=(
+            "A structured query object. Use {type:'contains', value:'...'} "
+            "for text search, {type:'startsWith', value:'...'} for prefix "
+            "search, {type:'not', query:...} for negation, "
+            "{type:'or', queries:[...]} for OR, "
+            "{type:'and', queries:[...]} for AND. "
+            "Omit to match all documents."
+        ),
+    )
+    num_results: int = Field(
+        default=10, description="Number of results to return (max 1000)"
+    )
+    offset: int = Field(
+        default=0,
+        description="Number of results to skip (for pagination).",
+    )
+    sort: Literal["shuffle", "tricky"] = Field(
+        default="shuffle",
+        description=(
+            "Sort order: 'shuffle' (default random order) or 'tricky' "
+            "(ascending prediction confidence — least confident first)."
+        ),
+    )
+
+    from_training_set: bool = Field(
+        default=False,
+        description=(
+            "If true, only search documents in the current "
+            "label's training set."
+        ),
+    )
+    annotation: str | None = Field(
+        default=None,
+        description=(
+            "Filter by annotation value: 'yes', 'no', 'skip', "
+            "'none' (unannotated), or 'any' (has any annotation). "
+            "Implies from_training_set."
+        ),
+    )
+    prediction: str | None = Field(
+        default=None,
+        description=(
+            "Filter by prediction value: 'yes', 'no', 'any' "
+            "(has any prediction), or 'disagree' (prediction differs "
+            "from agent annotation). Implies from_training_set."
+        ),
+    )
+    count_only: bool = Field(
+        default=False,
+        description=(
+            "If true, return only the count of matching documents "
+            "(num_results is ignored)."
+        ),
+    )
+
+    def __call__(self, agent):
+        from django.db.models import F as models_F
+        from django.db.models import OuterRef, Subquery
+
+        from clx.app.models import LabelDocument
+
+        project = agent.thread.label.project
+        label_id = agent.thread.label_id
+
+        if self.sort == "tricky":
+            documents = project.documents.annotate(
+                _pred_conf=Subquery(
+                    LabelDocument.objects.filter(
+                        document=OuterRef("pk"),
+                        label_id=label_id,
+                    ).values("prediction_confidence")[:1]
+                )
+            ).order_by(models_F("_pred_conf").asc(nulls_last=True))
+        else:
+            documents = project.documents.order_by("shuffle_key")
+        if self.query:
+            documents = documents.text_query(self.query.model_dump())
+        if self.prediction:
+            documents = documents.filter_prediction(label_id, self.prediction)
+        elif self.annotation:
+            documents = documents.filter_annotation(label_id, self.annotation)
+        elif self.from_training_set:
+            documents = documents.training_examples(label_id)
+
+        if self.count_only:
+            t0 = time.time()
+            total = documents.count()
+            logger.debug(f"    Search count query: {time.time() - t0:.1f}s")
+            return f"{total} document(s) match."
+
+        num_results = min(self.num_results, 1000)
+        t0 = time.time()
+        rows = list(
+            documents.values_list("id", "text")[
+                self.offset : self.offset + num_results
+            ]
+        )
+        db_elapsed = time.time() - t0
+        query_desc = self.query.model_dump() if self.query else "all"
+        logger.debug(
+            f"    Search DB: {db_elapsed:.1f}s | "
+            f"{len(rows)} rows | query={query_desc}"
+        )
+
+        # Generate a short search ID and store in agent state.
+        search_id = _su.random(length=8)
+        doc_ids = [str(r[0]) for r in rows]
+        searches = agent.state.setdefault("searches", {})
+        searches[search_id] = {
+            "query": self.query.model_dump() if self.query else None,
+            "num_results": num_results,
+            "from_training_set": self.from_training_set,
+            "result_count": len(rows),
+            "document_ids": doc_ids,
+        }
+
+        if not rows:
+            return f"[search:{search_id}] No documents found."
+        lines = [f"doc_id={r[0]}\n{r[1]}" for r in rows]
+        return (
+            f"[search:{search_id}] {len(rows)} results:\n\n"
+            + "\n---\n".join(lines)
+        )
+
+
+class UpdateLabelInstructions(Tool):
+    """Update the instructions for the current label.
+
+    Use 'append' to add new content to the end of existing instructions,
+    or 'replace' to rewrite them entirely. You can see the current
+    instructions in your system prompt.
+    """
+
+    mode: Literal["append", "replace"] = Field(
+        description="'append' to add to existing instructions, 'replace' to overwrite"
+    )
+    content: str = Field(
+        description="The instruction content to append or replace with"
+    )
+
+    def __call__(self, agent):
+        label = agent.thread.label
+        if self.mode == "append":
+            if label.instructions.strip():
+                label.instructions = (
+                    label.instructions.rstrip() + "\n\n" + self.content
+                )
+            else:
+                label.instructions = self.content
+        else:
+            label.instructions = self.content
+        label.save(update_fields=["instructions", "updated_at"])
+        return f"Label instructions updated ({self.mode})."
+
+
+class UpdateProjectInstructions(Tool):
+    """Update the project-level instructions.
+
+    Use 'append' to add new content to the end of existing instructions,
+    or 'replace' to rewrite them entirely. You can see the current
+    instructions in your system prompt.
+    """
+
+    mode: Literal["append", "replace"] = Field(
+        description="'append' to add to existing instructions, 'replace' to overwrite"
+    )
+    content: str = Field(
+        description="The instruction content to append or replace with"
+    )
+
+    def __call__(self, agent):
+        project = agent.thread.label.project
+        if self.mode == "append":
+            if project.instructions.strip():
+                project.instructions = (
+                    project.instructions.rstrip() + "\n\n" + self.content
+                )
+            else:
+                project.instructions = self.content
+        else:
+            project.instructions = self.content
+        project.save(update_fields=["instructions", "updated_at"])
+        return f"Project instructions updated ({self.mode})."
+
+
+class AddTrainingExamples(Tool):
+    """Add documents to the current label's training set.
+
+    These become reference examples for classification. Preferred: pass
+    search_id from a previous Search call — this re-runs the query so you
+    can sample more documents than were originally returned (use num_docs
+    to control how many). Alternatively, pass explicit document_ids.
+    Do not pass both.
+    """
+
+    search_id: str | None = Field(
+        default=None,
+        description=(
+            "A search ID from a previous Search call (e.g. 'aBcDeFgH'). "
+            "Re-runs the query and adds up to num_docs documents."
+        ),
+    )
+    num_docs: int | None = Field(
+        default=None,
+        description=(
+            "Max number of documents to add. Only used with search_id. "
+            "Defaults to all matching documents."
+        ),
+    )
+    document_ids: list[str] | None = Field(
+        default=None,
+        description=(
+            "Explicit list of document IDs "
+            "(short UUIDs, NOT document text) to add."
+        ),
+    )
+
+    def __call__(self, agent):
+        from clx.app.models import Document, LabelDocument
+
+        label = agent.thread.label
+
+        if self.search_id and self.document_ids:
+            return "Error: provide search_id or document_ids, not both."
+        if not self.search_id and not self.document_ids:
+            return "Error: provide either search_id or document_ids."
+
+        if self.search_id:
+            searches = agent.state.get("searches", {})
+            search = searches.get(self.search_id)
+            if not search:
+                return f"Error: search '{self.search_id}' not found in state."
+            # Re-run the query to get document IDs (not limited to original result size).
+            project = label.project
+            documents = project.documents.order_by("shuffle_key")
+            query = search.get("query")
+            if query:
+                documents = documents.text_query(query)
+            if search.get("from_training_set"):
+                documents = documents.training_examples(label.id)
+            if self.num_docs is not None:
+                documents = documents[: self.num_docs]
+            doc_ids = list(documents.values_list("id", flat=True))
+        else:
+            doc_ids = self.document_ids
+
+        # Validate that all IDs actually exist to avoid FK violations.
+        valid_ids = set(
+            Document.objects.filter(
+                id__in=doc_ids, project=label.project
+            ).values_list("id", flat=True)
+        )
+        doc_ids = [did for did in doc_ids if did in valid_ids]
+
+        if not doc_ids:
+            return "Error: none of the provided document IDs are valid."
+
+        objects = [
+            LabelDocument(id=_su.uuid(), label=label, document_id=did)
+            for did in doc_ids
+        ]
+        LabelDocument.objects.bulk_create(objects, ignore_conflicts=True)
+        return f"Added {len(doc_ids)} training example(s) to label '{label.name}' (duplicates ignored)."
+
+
+class AnnotationItem(BaseModel):
+    document_id: str = Field(
+        description="The document ID (short UUID from search results)."
+    )
+    value: Literal["yes", "no", "skip"] = Field(
+        description="The classification value."
+    )
+
+
+class Annotate(Tool):
+    """Annotate training examples for the current label.
+
+    Each annotation classifies a document as 'yes', 'no', or 'skip'.
+    If an annotation already exists for a document it will be updated.
+    """
+
+    annotations: list[AnnotationItem] = Field(
+        description="List of annotations to create or update."
+    )
+
+    def __call__(self, agent):
+        from clx.app.models import ClassificationAnnotation, LabelDocument
+
+        label = agent.thread.label
+        doc_ids = [a.document_id for a in self.annotations]
+
+        # Fetch all LabelDocument rows for these docs+label in one query.
+        ld_map = dict(
+            LabelDocument.objects.filter(
+                label=label, document_id__in=doc_ids
+            ).values_list("document_id", "id")
+        )
+
+        missing = [did for did in doc_ids if did not in ld_map]
+        # Deduplicate by document_id (last wins) to avoid
+        # ON CONFLICT DO UPDATE hitting the same row twice.
+        valid_by_id = {
+            a.document_id: a
+            for a in self.annotations
+            if a.document_id in ld_map
+        }
+        valid = list(valid_by_id.values())
+
+        # Bulk upsert annotations for valid docs.
+        if valid:
+            objects = [
+                ClassificationAnnotation(
+                    id=_su.uuid(),
+                    label_document_id=ld_map[a.document_id],
+                    value=a.value,
+                    source="agent",
+                )
+                for a in valid
+            ]
+            ClassificationAnnotation.objects.bulk_create(
+                objects,
+                update_conflicts=True,
+                unique_fields=["label_document", "source"],
+                update_fields=["value", "updated_at"],
+            )
+
+        parts = [f"Annotated {len(valid)} document(s)."]
+        if missing:
+            parts.append(
+                f"Skipped {len(missing)} not in training set (add with AddTrainingExamples): {', '.join(missing)}"
+            )
+        return " ".join(parts)
+
+
+class CompactMemory(Tool):
+    """Compact the conversation by replacing prior messages with a summary.
+
+    ONLY call this tool when the user explicitly asks to compact or
+    summarize the conversation. Write a detailed, verbose summary that
+    captures all important context, decisions, findings, and state so
+    nothing is lost. Try to keep the summary under 2500 tokens and avoid
+    repeating content in your system prompt.
+    """
+
+    summary: str = Field(
+        description=(
+            "A detailed summary of the conversation so far. Be verbose — "
+            "include key findings, decisions made, tool results, "
+            "instructions given, and any state the agent should remember. "
+            "This will replace all prior messages."
+        )
+    )
+
+    def __call__(self, agent):
+        return self.summary
+
+
+class ClearToolHistory(Tool):
+    """Clear tool calls and responses from the conversation history.
+
+    This hides all previous tool call and tool response messages from
+    the LLM context while keeping them in the database and UI. Use this
+    to reduce context size when tool history is no longer needed.
+    """
+
+    def __call__(self, agent):
+        from clx.app.models import Message as MessageModel
+
+        # Find the current assistant message (contains this tool call).
+        current_assistant_idx = None
+        for i in range(len(agent.messages) - 1, -1, -1):
+            msg = agent.messages[i]
+            if msg.get("role") == "assistant" and msg.get("tool_calls"):
+                current_assistant_idx = i
+                break
+
+        # Hide all tool-related messages before the current assistant message.
+        for i, msg in enumerate(agent.messages):
+            if i == current_assistant_idx:
+                continue
+            if msg.get("role") == "tool" or msg.get("tool_calls"):
+                msg["hidden"] = True
+
+        # Update DB — hide all existing tool-related messages.
+        # Current step's messages haven't been saved yet, so this is safe.
+        MessageModel.objects.filter(
+            thread=agent.thread, hidden=False, data__role="tool"
+        ).update(hidden=True)
+        MessageModel.objects.filter(thread=agent.thread, hidden=False).filter(
+            data__has_key="tool_calls"
+        ).update(hidden=True)
+
+        return "Tool history cleared from context."
+
+
+class AskUser(Tool):
+    """Ask the user a question with proposed answer options.
+
+    The user will pick exactly one option, so make the options mutually
+    exclusive. Use this when you need clarification or want the user to
+    choose between alternatives. The question and options will be
+    presented to the user in an interactive card.
+    """
+
+    question: str = Field(description="The question to ask the user")
+    options: list[str] = Field(
+        description=(
+            "A list of mutually exclusive answer options (user picks one)"
+        )
+    )
+
+    def __call__(self, agent):
+        return "This question will be presented to the user."
+
+
+class CompleteTask(Tool):
+    """Mark the current task as complete.
+
+    Call this when you have fully accomplished the task objective.
+    """
+
+    summary: str = Field(
+        description="A brief summary of what was accomplished."
+    )
+
+    def __call__(self, agent):
+        return self.summary
diff --git a/clx/app/urls.py b/clx/app/urls.py
index ebbf064..bda20ad 100644
--- a/clx/app/urls.py
+++ b/clx/app/urls.py
@@ -3,113 +3,122 @@
 from . import views
 
 urlpatterns = [
-    path("", views.index_view),
+    path("", views.projects_view),
     path(
-        "project/<slug:project_id>/search/", views.search_view, name="search"
+        "projects/<str:project_id>/",
+        views.project_detail_view,
     ),
+    path("api/projects/", views.projects_api),
     path(
-        "api/project/<slug:project_id>/project/",
-        views.project_endpoint,
-        name="project",
+        "api/projects/<str:project_id>/docs",
+        views.project_docs_api,
     ),
     path(
-        "api/project/<slug:project_id>/project/update-instructions/",
-        views.project_update_instructions_endpoint,
-        name="project-update-instructions-endpoint",
+        "api/projects/<str:project_id>/docs/count",
+        views.project_docs_count_api,
     ),
     path(
-        "api/project/<slug:project_id>/search/",
-        views.search_endpoint,
-        name="search-endpoint",
+        "api/projects/<str:project_id>/labels",
+        views.project_labels_api,
     ),
     path(
-        "api/project/<slug:project_id>/labels/",
-        views.labels_endpoint,
-        name="labels-endpoint",
+        "api/projects/<str:project_id>/labels/create",
+        views.create_label_api,
     ),
     path(
-        "api/project/<slug:project_id>/labels/update-instructions/",
-        views.labels_update_instructions_endpoint,
-        name="labels-update-instructions-endpoint",
+        "api/projects/<str:project_id>/labels/<str:label_id>/activate",
+        views.set_active_label_api,
     ),
     path(
-        "api/project/<slug:project_id>/labels/save-querystring/",
-        views.labels_save_querystring_endpoint,
-        name="labels-save-querystring-endpoint",
+        "api/projects/<str:project_id>/labels/<str:label_id>/rename",
+        views.rename_label_api,
     ),
     path(
-        "api/project/<slug:project_id>/labels/delete-querystring/",
-        views.labels_delete_querystring_endpoint,
-        name="labels-delete-querystring-endpoint",
+        "api/projects/<str:project_id>/labels/<str:label_id>/stats",
+        views.label_stats_api,
     ),
     path(
-        "api/project/<slug:project_id>/tags/",
-        views.tags_endpoint,
-        name="tags-endpoint",
+        "api/projects/<str:project_id>/labels/<str:label_id>/predict",
+        views.predict_label_api,
     ),
     path(
-        "api/project/<slug:project_id>/annotate/",
-        views.annotate_endpoint,
-        name="annotate-endpoint",
+        "api/projects/<str:project_id>/labels/<str:label_id>/prediction-stats",
+        views.recalculate_prediction_stats_api,
     ),
     path(
-        "api/project/<slug:project_id>/decisions/",
-        views.decisions_endpoint,
-        name="decisions-endpoint",
+        "api/projects/<str:project_id>/labels/<str:label_id>/finetune",
+        views.finetune_label_api,
     ),
     path(
-        "api/project/<slug:project_id>/decision/update/",
-        views.decision_update_endpoint,
-        name="decision-update-endpoint",
+        "api/projects/<str:project_id>/labels/<str:label_id>/finetune/cancel",
+        views.cancel_finetune_api,
     ),
     path(
-        "api/project/<slug:project_id>/decision/delete/",
-        views.decision_delete_endpoint,
-        name="decision-delete-endpoint",
+        "api/projects/<str:project_id>/labels/<str:label_id>/finetune/status",
+        views.finetune_status_api,
     ),
     path(
-        "api/project/<slug:project_id>/heuristics/",
-        views.heuristics_endpoint,
-        name="heuristics-endpoint",
+        "api/projects/<str:project_id>/prompts",
+        views.project_prompts_api,
     ),
     path(
-        "api/project/<slug:project_id>/heuristic/add/",
-        views.heuristic_add_endpoint,
-        name="heuristic-add-endpoint",
+        "api/projects/<str:project_id>/prompts/create",
+        views.create_prompt_api,
     ),
     path(
-        "api/project/<slug:project_id>/heuristics/apply/",
-        views.heuristic_apply_endpoint,
-        name="heuristic-apply-endpoint",
+        "api/projects/<str:project_id>/prompts/<str:prompt_id>/update",
+        views.update_prompt_api,
     ),
     path(
-        "api/project/<slug:project_id>/heuristics/set-flag/",
-        views.heuristic_set_flag_endpoint,
-        name="heuristic-set-flag-endpoint",
+        "api/projects/<str:project_id>/prompts/<str:prompt_id>/reset",
+        views.reset_prompt_api,
     ),
     path(
-        "api/project/<slug:project_id>/heuristics/delete/",
-        views.heuristic_delete_endpoint,
-        name="heuristic-delete-endpoint",
+        "api/projects/<str:project_id>/prompts/<str:prompt_id>/delete",
+        views.delete_prompt_api,
     ),
     path(
-        "api/project/<slug:project_id>/heuristics/sync-custom/",
-        views.heuristics_sync_custom_endpoint,
-        name="heuristics-sync-custom-endpoint",
+        "api/projects/<str:project_id>/update",
+        views.update_project_api,
     ),
     path(
-        "api/project/<slug:project_id>/predictor/update-trainset/",
-        views.predictor_update_trainset_endpoint,
-        name="predictor-update-trainset-endpoint",
+        "api/projects/<str:project_id>/autopilot/toggle",
+        views.toggle_autopilot_api,
     ),
     path(
-        "api/project/<slug:project_id>/predictor/update-trainset-preds/",
-        views.predictor_update_trainset_preds_endpoint,
-        name="predictor-update-trainset-preds-endpoint",
+        "api/projects/<str:project_id>/delete",
+        views.delete_project_api,
     ),
     path(
-        "api/project/<slug:project_id>/finetunes/",
-        views.finetunes_endpoint,
-        name="finetunes-endpoint",
+        "api/projects/<str:project_id>/labels/<str:label_id>/delete",
+        views.delete_label_api,
+    ),
+    path(
+        "api/projects/<str:project_id>/tasks",
+        views.tasks_api,
+    ),
+    path(
+        "api/projects/<str:project_id>/tasks/update",
+        views.update_tasks_api,
+    ),
+    path(
+        "api/projects/<str:project_id>/labels/<str:label_id>/threads",
+        views.label_threads_api,
+    ),
+    path(
+        "api/projects/<str:project_id>/labels/<str:label_id>/threads/create",
+        views.create_thread_api,
+    ),
+    path(
+        "api/projects/<str:project_id>/threads/<str:thread_id>/delete",
+        views.delete_thread_api,
+    ),
+    path(
+        "api/projects/<str:project_id>/threads/<str:thread_id>/messages",
+        views.thread_messages_api,
+    ),
+    path(
+        "api/projects/<str:project_id>/threads/<str:thread_id>/send",
+        views.send_message_api,
     ),
 ]
diff --git a/clx/app/views.py b/clx/app/views.py
index 5881b27..f38c4b5 100644
--- a/clx/app/views.py
+++ b/clx/app/views.py
@@ -1,396 +1,928 @@
-import inspect
+import json
 
-import simplejson as json
+from django.conf import settings as django_settings
+from django.db.models import Count, Max, OuterRef, Q, Subquery, Sum
+from django.db.models import F as models_F
 from django.http import JsonResponse
-from django.shortcuts import redirect, render
+from django.shortcuts import get_object_or_404, render
 from django.views.decorators.csrf import csrf_exempt
-from django.views.decorators.http import require_GET, require_POST
-
-from .custom_heuristics import custom_heuristics
-from .models import (
-    Label,
-    LabelDecision,
-    LabelFinetune,
-    LabelHeuristic,
-    LabelQuerystring,
-    LabelTag,
-    Project,
-)
-
-
-# Endpoints
-## Search Endpoints
+from django.views.decorators.http import require_GET, require_http_methods
+
+from .models import Label, Project, Prompt, Task, Thread
+
+DOCS_PER_PAGE = 100
+
+# --- Page Views ---
+
+
+def projects_view(request):
+    """Projects grid page."""
+    projects = Project.objects.all().order_by("name")
+    return render(request, "projects.html", {"projects": projects})
+
+
+def project_detail_view(request, project_id):
+    """Project detail page with paginated documents."""
+    project = get_object_or_404(Project, id=project_id)
+    # Lazily create an initial label if none exist.
+    if not project.labels.exists():
+        label = Label.objects.create(project=project, name="Initial Label")
+        project.active_label = label
+        project.save(update_fields=["active_label", "updated_at"])
+    elif project.active_label is None:
+        project.active_label = project.labels.first()
+        project.save(update_fields=["active_label", "updated_at"])
+    return render(
+        request,
+        "project_detail.html",
+        {
+            "project": project,
+            "model_ids": django_settings.MODEL_IDS,
+            "default_model": django_settings.DEFAULT_MODEL,
+        },
+    )
+
+
+# --- API Endpoints ---
+
+
 @csrf_exempt
-@require_POST
-def search_endpoint(request, project_id):
-    payload = {} if request.body is None else json.loads(request.body)
-    project = Project.objects.get(id=project_id)
-    model = project.get_search_model()
-    return JsonResponse(model.objects.search(**payload))
+@require_http_methods(["GET", "POST"])
+def projects_api(request):
+    """GET: list projects. POST: create a project."""
+    if request.method == "GET":
+        projects = Project.objects.all().order_by("name")
+        return JsonResponse(
+            {"projects": [{"id": str(p.id), "name": p.name} for p in projects]}
+        )
+    else:
+        try:
+            data = json.loads(request.body)
+        except json.JSONDecodeError:
+            return JsonResponse({"error": "Invalid JSON"}, status=400)
+        name = data.get("name", "").strip()
+        if not name:
+            return JsonResponse({"error": "name is required"}, status=400)
+        project = Project.objects.create(name=name)
+        return JsonResponse(
+            {"id": str(project.id), "name": project.name},
+            status=201,
+        )
+
+
+def _filtered_documents(project, request):
+    """Return a queryset of documents filtered by request params.
+
+    Returns (queryset, label_id, has_annotation_col).
+    """
+    sort = request.GET.get("sort", "shuffle").strip()
+    label_id = request.GET.get("label", "").strip()
+
+    if sort == "tricky" and label_id:
+        from .models import LabelDocument
+
+        documents = project.documents.annotate(
+            _pred_conf=Subquery(
+                LabelDocument.objects.filter(
+                    document=OuterRef("pk"),
+                    label_id=label_id,
+                ).values("prediction_confidence")[:1]
+            )
+        ).order_by(models_F("_pred_conf").asc(nulls_last=True))
+    else:
+        documents = project.documents.order_by("shuffle_key")
+
+    qs = request.GET.get("q", "").strip()
+    if qs:
+        documents = documents.query_string(qs)
+    annotation = request.GET.get("annotation", "").strip()
+    prediction = request.GET.get("prediction", "").strip()
+    has_annotation_col = False
+    if prediction and label_id:
+        documents = documents.filter_prediction(label_id, prediction)
+        if prediction == "disagree":
+            has_annotation_col = True
+    elif annotation and label_id:
+        documents = documents.filter_annotation(label_id, annotation)
+        has_annotation_col = True
+    elif label_id:
+        documents = documents.training_examples(label_id)
+    return documents, label_id, has_annotation_col
 
 
-# Project Endpoints
 @require_GET
-def project_endpoint(request, project_id):
-    project = Project.objects.get(id=project_id)
-    last_created_example = (
-        project.get_search_model().objects.order_by("-created_at").first()
+def project_docs_api(request, project_id):
+    """GET: paginated documents for a project."""
+    project = get_object_or_404(Project, id=project_id)
+    page_number = max(1, int(request.GET.get("page", 1)))
+    documents, label_id, has_annotation_col = _filtered_documents(
+        project, request
     )
+    # Attach annotation and prediction values via subqueries when a label is active.
+    if label_id and not has_annotation_col:
+        documents = documents.with_annotation(label_id)
+    if label_id:
+        documents = documents.with_prediction(label_id)
+    # Fetch one extra to detect if there's a next page, avoiding COUNT query.
+    offset = (page_number - 1) * DOCS_PER_PAGE
+    batch = list(documents[offset : offset + DOCS_PER_PAGE + 1])
+    has_next = len(batch) > DOCS_PER_PAGE
+    page_docs = batch[:DOCS_PER_PAGE]
     return JsonResponse(
         {
-            "project": {
-                "id": project.id,
-                "name": project.name,
-                "instructions": project.instructions or "",
-                "last_example_created_at": last_created_example.created_at
-                if last_created_example
-                else None,
-            }
+            "documents": [
+                {
+                    "id": str(d.id),
+                    "text": d.text,
+                    "text_prefix": d.text_prefix,
+                    "meta": d.meta,
+                    "annotation": getattr(d, "annotation_value", None),
+                    "prediction": getattr(d, "prediction_value", None) or None,
+                    "prediction_confidence": getattr(
+                        d, "prediction_confidence_value", None
+                    ),
+                }
+                for d in page_docs
+            ],
+            "page": page_number,
+            "has_next": has_next,
         }
     )
 
 
-@csrf_exempt
-@require_POST
-def project_update_instructions_endpoint(request, project_id):
-    payload = {} if request.body is None else json.loads(request.body)
-    instructions = payload.get("instructions", "")
-    project = Project.objects.get(id=project_id)
-    project.instructions = instructions
-    project.save()
+@require_GET
+def project_docs_count_api(request, project_id):
+    """GET: count of documents for a project (with filters)."""
+    project = get_object_or_404(Project, id=project_id)
+    documents, _, _ = _filtered_documents(project, request)
+    return JsonResponse({"total_count": documents.count()})
+
+
+@require_GET
+def project_labels_api(request, project_id):
+    """GET: list labels for a project."""
+    project = get_object_or_404(Project, id=project_id)
+    labels = project.labels.order_by("name")
+
+    # Aggregate stats for all labels in a single query.
+    from .models import LabelDocument
+
+    stats_qs = (
+        LabelDocument.objects.filter(label__project=project)
+        .values("label_id")
+        .annotate(
+            total=Count("id"),
+            yes=Count(
+                "id",
+                filter=Q(
+                    annotations__value="yes", annotations__source="agent"
+                ),
+            ),
+            no=Count(
+                "id",
+                filter=Q(annotations__value="no", annotations__source="agent"),
+            ),
+            skip=Count(
+                "id",
+                filter=Q(
+                    annotations__value="skip", annotations__source="agent"
+                ),
+            ),
+            latest_annotation_at=Max(
+                "annotations__updated_at",
+                filter=Q(
+                    annotations__source="agent",
+                    annotations__value__in=["yes", "no"],
+                ),
+            ),
+        )
+    )
+    stats_by_label = {}
+    for row in stats_qs:
+        lid = str(row["label_id"])
+        total = row["total"]
+        lat = row["latest_annotation_at"]
+        stats_by_label[lid] = {
+            "total": total,
+            "yes": row["yes"],
+            "no": row["no"],
+            "skip": row["skip"],
+            "unannotated": total - row["yes"] - row["no"] - row["skip"],
+            "latest_annotation_at": lat.isoformat() if lat else None,
+        }
+
     return JsonResponse(
-        {"ok": True, "instructions": project.instructions or ""}
+        {
+            "labels": [
+                {
+                    "id": str(label.id),
+                    "name": label.name,
+                    "instructions": label.instructions,
+                    "finetune_status": label.finetune_status,
+                    "finetuned_at": label.finetuned_at.isoformat()
+                    if label.finetuned_at
+                    else None,
+                    "predicted_at": label.predicted_at.isoformat()
+                    if label.predicted_at
+                    else None,
+                    "prediction_stats": label.prediction_stats,
+                    "stats": stats_by_label.get(
+                        str(label.id),
+                        {
+                            "total": 0,
+                            "yes": 0,
+                            "no": 0,
+                            "skip": 0,
+                            "unannotated": 0,
+                        },
+                    ),
+                }
+                for label in labels
+            ],
+            "active_label_id": str(project.active_label_id)
+            if project.active_label_id
+            else None,
+        }
     )
 
 
-# Labels Endpoints
 @require_GET
-def labels_endpoint(request, project_id):
-    project = Project.objects.get(id=project_id)
-    labels_query = Label.objects.filter(project=project).values(
-        "id",
-        "name",
-        "num_excluded",
-        "num_neutral",
-        "num_likely",
-        "instructions",
-        "trainset_num_excluded",
-        "trainset_num_neutral",
-        "trainset_num_likely",
-        "trainset_num_decision_neighbors",
-        "trainset_num_positive_preds",
-        "trainset_num_negative_preds",
-        "trainset_predictions_updated_at",
-        "trainset_updated_at",
+def label_stats_api(request, project_id, label_id):
+    """GET: annotation stats for a label's training set."""
+    project = get_object_or_404(Project, id=project_id)
+    label = get_object_or_404(Label, id=label_id, project=project)
+    from .models import LabelDocument
+
+    stats = LabelDocument.objects.filter(label=label).aggregate(
+        total=Count("id"),
+        yes=Count(
+            "id",
+            filter=Q(annotations__value="yes", annotations__source="agent"),
+        ),
+        no=Count(
+            "id",
+            filter=Q(annotations__value="no", annotations__source="agent"),
+        ),
+        skip=Count(
+            "id",
+            filter=Q(annotations__value="skip", annotations__source="agent"),
+        ),
     )
-    labels = {row["id"]: {**row, "querystrings": []} for row in labels_query}
-    all_qs = (
-        LabelQuerystring.objects.filter(label__project=project)
-        .values(
-            "label_id",
-            "querystring",
-            "num_examples",
-        )
-        .order_by("created_at")
+    stats["unannotated"] = (
+        stats["total"] - stats["yes"] - stats["no"] - stats["skip"]
     )
-    for qs in all_qs:
-        labels[qs["label_id"]]["querystrings"].append(qs)
-    return JsonResponse({"labels": labels})
+    return JsonResponse(stats)
 
 
 @csrf_exempt
-@require_POST
-def labels_update_instructions_endpoint(request, project_id):
-    payload = {} if request.body is None else json.loads(request.body)
-    label_id = payload.get("label_id")
-    instructions = payload.get("instructions", "")
-    label = Label.objects.get(id=label_id, project_id=project_id)
-    label.instructions = instructions
-    label.save()
-    return JsonResponse({"ok": True})
+@require_http_methods(["POST"])
+def create_label_api(request, project_id):
+    """POST: create a new label for a project."""
+    project = get_object_or_404(Project, id=project_id)
+    try:
+        data = json.loads(request.body)
+    except json.JSONDecodeError:
+        return JsonResponse({"error": "Invalid JSON"}, status=400)
+    name = data.get("name", "").strip()
+    if not name:
+        return JsonResponse({"error": "name is required"}, status=400)
+    label = Label.objects.create(project=project, name=name)
+    return JsonResponse({"id": str(label.id), "name": label.name}, status=201)
 
 
 @csrf_exempt
-@require_POST
-def labels_save_querystring_endpoint(request, project_id):
-    payload = {} if request.body is None else json.loads(request.body)
-    label_id = payload.get("label_id")
-    querystring = payload.get("querystring")
-    num_examples = payload.get("num_examples", 50)
-    label = Label.objects.get(id=label_id, project_id=project_id)
-    qs, _ = LabelQuerystring.objects.get_or_create(
-        label=label, querystring=querystring
-    )
-    qs.num_examples = int(num_examples)
-    qs.save()
-    return JsonResponse({"ok": True})
+@require_http_methods(["POST"])
+def set_active_label_api(request, project_id, label_id):
+    """POST: set the active label for a project."""
+    project = get_object_or_404(Project, id=project_id)
+    label = get_object_or_404(Label, id=label_id, project=project)
+    project.active_label = label
+    project.save(update_fields=["active_label", "updated_at"])
+    return JsonResponse({"id": str(label.id), "name": label.name})
 
 
 @csrf_exempt
-@require_POST
-def labels_delete_querystring_endpoint(request, project_id):
-    payload = {} if request.body is None else json.loads(request.body)
-    label_id = payload.get("label_id")
-    querystring = payload.get("querystring")
-    label = Label.objects.get(id=label_id, project_id=project_id)
-    qs = LabelQuerystring.objects.get(label=label, querystring=querystring)
-    qs.delete()
-    return JsonResponse({"ok": True})
+@require_http_methods(["POST"])
+def rename_label_api(request, project_id, label_id):
+    """POST: update a label (name, instructions)."""
+    project = get_object_or_404(Project, id=project_id)
+    label = get_object_or_404(Label, id=label_id, project=project)
+    try:
+        data = json.loads(request.body)
+    except json.JSONDecodeError:
+        return JsonResponse({"error": "Invalid JSON"}, status=400)
+    update_fields = ["updated_at"]
+    if "name" in data:
+        name = data["name"].strip()
+        if not name:
+            return JsonResponse({"error": "name is required"}, status=400)
+        label.name = name
+        update_fields.append("name")
+    if "instructions" in data:
+        label.instructions = data["instructions"]
+        update_fields.append("instructions")
+    label.save(update_fields=update_fields)
+    return JsonResponse(
+        {
+            "id": str(label.id),
+            "name": label.name,
+            "instructions": label.instructions,
+        }
+    )
 
 
-# Tags Endpoints
-@require_GET
-def tags_endpoint(request, project_id):
-    project = Project.objects.get(id=project_id)
-    tags_qs = LabelTag.objects.filter(label__project=project).values(
-        "id", "label_id", "slug"
+@csrf_exempt
+@require_http_methods(["POST"])
+def update_project_api(request, project_id):
+    """POST: update project settings."""
+    project = get_object_or_404(Project, id=project_id)
+    try:
+        data = json.loads(request.body)
+    except json.JSONDecodeError:
+        return JsonResponse({"error": "Invalid JSON"}, status=400)
+    update_fields = ["updated_at"]
+    if "name" in data:
+        name = data["name"].strip()
+        if not name:
+            return JsonResponse({"error": "name is required"}, status=400)
+        project.name = name
+        update_fields.append("name")
+    if "instructions" in data:
+        project.instructions = data["instructions"]
+        update_fields.append("instructions")
+    project.save(update_fields=update_fields)
+    return JsonResponse(
+        {
+            "id": str(project.id),
+            "name": project.name,
+            "instructions": project.instructions,
+        }
     )
-    tags = {row["id"]: row for row in tags_qs}
-    return JsonResponse({"tags": tags})
 
 
 @csrf_exempt
-@require_POST
-def annotate_endpoint(request, project_id):
-    payload = {} if request.body is None else json.loads(request.body)
-    example_id = payload.get("example_id")
-    label_id = payload.get("label_id")
-    value = payload.get("value", None)
-    project = Project.objects.get(id=project_id)
-    model = project.get_search_model()
-    example = model.objects.get(id=example_id)
-    label = Label.objects.get(id=label_id, project_id=project_id)
-    example.set_annotation(label, value)
-    return JsonResponse({"ok": True})
+@require_http_methods(["POST"])
+def toggle_autopilot_api(request, project_id):
+    """POST: toggle autopilot_enabled on a project."""
+    project = get_object_or_404(Project, id=project_id)
+    project.autopilot_enabled = not project.autopilot_enabled
+    project.save(update_fields=["autopilot_enabled", "updated_at"])
+    return JsonResponse({"autopilot_enabled": project.autopilot_enabled})
+
+
+def _prompt_json(p):
+    return {
+        "id": str(p.id),
+        "prompt_id": p.prompt_id,
+        "name": p.name,
+        "content": p.content,
+        "built_in": p.built_in,
+    }
 
 
-# Decision Endpoints
-@csrf_exempt
-@require_POST
-def decisions_endpoint(request, project_id):
-    payload = {} if request.body is None else json.loads(request.body)
-    label_id = payload.get("label_id")
-    assert label_id, "label_id is required"
-    decisions = LabelDecision.objects.filter(label_id=label_id).values(
-        "id",
-        "label_id",
-        "value",
-        "reason",
-        "text_hash",
-        "text",
-        "updated_at",
-    )
-    decisions = {d["id"]: d for d in decisions}
-    return JsonResponse({"decisions": decisions})
+def _slugify_prompt_id(name):
+    import re
+
+    return re.sub(r"[^a-z0-9]+", "_", name.lower()).strip("_")
+
+
+@require_GET
+def project_prompts_api(request, project_id):
+    """GET: list prompts for a project, lazy-creating from registry."""
+    from .prompts import prompt_registry
+
+    project = get_object_or_404(Project, id=project_id)
+    existing = {p.prompt_id for p in project.prompts.all()}
+    to_create = [
+        Prompt(
+            project=project,
+            prompt_id=pid,
+            name=entry["name"],
+            content=entry["content"],
+            built_in=True,
+        )
+        for pid, entry in prompt_registry.items()
+        if pid not in existing
+    ]
+    if to_create:
+        Prompt.objects.bulk_create(to_create)
+    prompts = project.prompts.order_by("built_in", "created_at")
+    return JsonResponse({"prompts": [_prompt_json(p) for p in prompts]})
 
 
 @csrf_exempt
-@require_POST
-def decision_update_endpoint(request, project_id):
-    payload = {} if request.body is None else json.loads(request.body)
-    label_id = payload.get("label_id")
-    text_hash = payload.get("text_hash")
-    value = payload.get("value")
-    reason = payload.get("reason")
-    print(label_id, text_hash, value, reason)
-    assert label_id and isinstance(value, bool) and reason, (
-        "label_id, value and reason are required"
-    )
-    label = Label.objects.get(id=label_id)
-    decision, _ = LabelDecision.objects.get_or_create(
-        label_id=label.id,
-        text_hash=text_hash,
-        defaults={"value": value, "reason": reason},
+@require_http_methods(["POST"])
+def create_prompt_api(request, project_id):
+    """POST: create a custom prompt."""
+    project = get_object_or_404(Project, id=project_id)
+    try:
+        data = json.loads(request.body)
+    except json.JSONDecodeError:
+        return JsonResponse({"error": "Invalid JSON"}, status=400)
+    name = data.get("name", "").strip()
+    if not name:
+        return JsonResponse({"error": "name is required"}, status=400)
+    prompt = Prompt.objects.create(
+        project=project,
+        prompt_id=_slugify_prompt_id(name),
+        name=name,
+        content=data.get("content", ""),
+        built_in=False,
     )
-    if decision.text is None:
-        decision.text = (
-            label.project.get_search_model()
-            .objects.filter(text_hash=text_hash)
-            .first()
-            .text
-        )
-    decision.value = value
-    decision.reason = reason
-    decision.save()
-    data = {
-        "id": decision.id,
-        "label_id": decision.label_id,
-        "text_hash": decision.text_hash,
-        "value": decision.value,
-        "reason": decision.reason,
-        "text": decision.text,
-    }
-    return JsonResponse({"decision": data})
+    return JsonResponse(_prompt_json(prompt), status=201)
 
 
 @csrf_exempt
-@require_POST
-def decision_delete_endpoint(request, project_id):
-    payload = {} if request.body is None else json.loads(request.body)
-    decision_id = payload.get("decision_id")
-    if not decision_id:
-        return JsonResponse({"error": "decision_id is required"}, status=400)
-    decision = LabelDecision.objects.get(id=decision_id)
-    decision.delete()
-    return JsonResponse({"ok": True})
+@require_http_methods(["POST"])
+def update_prompt_api(request, project_id, prompt_id):
+    """POST: update a prompt's content (and name for custom prompts)."""
+    project = get_object_or_404(Project, id=project_id)
+    prompt = get_object_or_404(Prompt, id=prompt_id, project=project)
+    try:
+        data = json.loads(request.body)
+    except json.JSONDecodeError:
+        return JsonResponse({"error": "Invalid JSON"}, status=400)
+    update_fields = ["updated_at"]
+    if "content" in data:
+        prompt.content = data["content"]
+        update_fields.append("content")
+    if "name" in data and not prompt.built_in:
+        name = data["name"].strip()
+        if name:
+            prompt.name = name
+            prompt.prompt_id = _slugify_prompt_id(name)
+            update_fields.extend(["name", "prompt_id"])
+    prompt.save(update_fields=update_fields)
+    return JsonResponse(_prompt_json(prompt))
 
 
-## Heuristic Endpoints
 @csrf_exempt
-@require_POST
-def heuristics_endpoint(request, project_id):
-    payload = {} if request.body is None else json.loads(request.body)
-    label_id = payload.get("label_id")
-    assert label_id, "label_id is required"
-    heuristics = list(
-        LabelHeuristic.objects.filter(label_id=label_id).values(
-            "id",
-            "querystring",
-            "custom",
-            "applied_at",
-            "created_at",
-            "is_minimal",
-            "is_likely",
-            "num_examples",
+@require_http_methods(["POST"])
+def reset_prompt_api(request, project_id, prompt_id):
+    """POST: reset a prompt's content to the registry default."""
+    from .prompts import prompt_registry
+
+    project = get_object_or_404(Project, id=project_id)
+    prompt = get_object_or_404(Prompt, id=prompt_id, project=project)
+    default = prompt_registry.get(prompt.prompt_id)
+    if not default:
+        return JsonResponse(
+            {"error": "No default found for this prompt."}, status=400
         )
-    )
-    for heuristic in heuristics:
-        if heuristic["custom"] is not None:
-            try:
-                heuristic["source"] = inspect.getsource(
-                    custom_heuristics[heuristic["custom"]]["apply_fn"]
-                )
-            except Exception:
-                heuristic["source"] = (
-                    "This heuristic has been deleted. Please sync custom heuristics."
-                )
-    heuristics = {h["id"]: h for h in heuristics}
-    return JsonResponse({"heuristics": heuristics})
+    prompt.content = default["content"]
+    prompt.save(update_fields=["content", "updated_at"])
+    return JsonResponse(_prompt_json(prompt))
 
 
 @csrf_exempt
-@require_POST
-def heuristic_add_endpoint(request, project_id):
-    payload = {} if request.body is None else json.loads(request.body)
-    label_id = payload.get("label_id")
-    querystring = (payload.get("querystring") or "").strip()
-    if not label_id or not querystring:
+@require_http_methods(["POST"])
+def delete_prompt_api(request, project_id, prompt_id):
+    """POST: delete a custom prompt."""
+    project = get_object_or_404(Project, id=project_id)
+    prompt = get_object_or_404(Prompt, id=prompt_id, project=project)
+    if prompt.built_in:
         return JsonResponse(
-            {"error": "label_id and querystring are required"}, status=400
+            {"error": "Cannot delete a built-in prompt."}, status=400
         )
-    heuristic = LabelHeuristic.objects.create(
-        label_id=label_id,
-        querystring=querystring,
-    )
-    return JsonResponse({"ok": True, "id": heuristic.id})
+    prompt.delete()
+    return JsonResponse({"ok": True})
 
 
 @csrf_exempt
-@require_POST
-def heuristic_apply_endpoint(request, project_id):
-    payload = {} if request.body is None else json.loads(request.body)
-    heuristic_id = payload.get("heuristic_id")
-    if not heuristic_id:
-        raise ValueError("heuristic_id is required")
-    heuristic = LabelHeuristic.objects.get(id=heuristic_id)
-    heuristic.apply()
-    return JsonResponse({"ok": True, "applied_at": heuristic.applied_at})
+@require_http_methods(["POST"])
+def delete_project_api(request, project_id):
+    """POST: delete a project."""
+    project = get_object_or_404(Project, id=project_id)
+    project.delete()
+    return JsonResponse({"ok": True})
 
 
 @csrf_exempt
-@require_POST
-def heuristic_set_flag_endpoint(request, project_id):
-    payload = {} if request.body is None else json.loads(request.body)
-    heuristic_id = payload.get("heuristic_id")
-    flag = payload.get("flag")
-    if not heuristic_id or flag not in {"is_minimal", "is_likely"}:
+@require_http_methods(["POST"])
+def delete_label_api(request, project_id, label_id):
+    """POST: delete a label."""
+    project = get_object_or_404(Project, id=project_id)
+    label = get_object_or_404(Label, id=label_id, project=project)
+    if project.labels.count() <= 1:
         return JsonResponse(
-            {"error": "heuristic_id and valid flag are required"}, status=400
+            {"error": "Cannot delete the only label."}, status=400
         )
-    heuristic = LabelHeuristic.objects.get(id=heuristic_id)
-    setattr(heuristic, flag, not getattr(heuristic, flag))
-    heuristic.save()
-    return JsonResponse({"ok": True, flag: getattr(heuristic, flag)})
+    was_active = project.active_label_id == label.id
+    label.delete()
+    if was_active:
+        new_active = project.labels.first()
+        project.active_label = new_active
+        project.save(update_fields=["active_label", "updated_at"])
+    return JsonResponse({"ok": True})
 
 
-@csrf_exempt
-@require_POST
-def heuristic_delete_endpoint(request, project_id):
-    payload = {} if request.body is None else json.loads(request.body)
-    heuristic_id = payload.get("heuristic_id")
-    if not heuristic_id:
-        raise ValueError("heuristic_id is required")
-    heuristic = LabelHeuristic.objects.get(id=heuristic_id)
-    heuristic.delete()
-    return JsonResponse({"ok": True})
+def _task_json(t):
+    from .prompts import prompt_registry
+
+    entry = prompt_registry.get(t.prompt_id, {})
+    return {
+        "id": str(t.id),
+        "prompt_id": t.prompt_id,
+        "prompt_name": entry.get("name", t.prompt_id),
+        "label": {"id": str(t.label.id), "name": t.label.name}
+        if t.label
+        else None,
+        "status": t.status,
+    }
+
+
+@require_GET
+def tasks_api(request, project_id):
+    """GET: return current tasks without recalculating."""
+    project = get_object_or_404(Project, id=project_id)
+    tasks = list(project.tasks.select_related("label").order_by("created_at"))
+    return JsonResponse({"tasks": [_task_json(t) for t in tasks]})
 
 
 @csrf_exempt
-@require_POST
-def heuristics_sync_custom_endpoint(request, project_id):
-    LabelHeuristic.sync_custom_heuristics()
-    return JsonResponse({"ok": True})
+@require_http_methods(["POST"])
+def update_tasks_api(request, project_id):
+    """POST: recalculate and return project tasks."""
+    project = get_object_or_404(Project, id=project_id)
+    tasks = project.update_tasks()
+    return JsonResponse({"tasks": [_task_json(t) for t in tasks]})
+
+
+@require_GET
+def label_threads_api(request, project_id, label_id):
+    """GET: list threads for a label with latest message preview."""
+    project = get_object_or_404(Project, id=project_id)
+    label = get_object_or_404(Label, id=label_id, project=project)
+    # Lazily create the autopilot thread.
+    if not label.autopilot_thread_id:
+        autopilot = Thread.objects.create(label=label)
+        label.autopilot_thread = autopilot
+        label.save(update_fields=["autopilot_thread", "updated_at"])
+    autopilot_id = str(label.autopilot_thread_id)
+    threads = label.threads.order_by("-updated_at")
+    result = []
+    for t in threads:
+        latest = t.messages.order_by("created_at").first()
+        preview = ""
+        if latest and latest.data.get("content"):
+            preview = latest.data["content"][:100]
+        result.append(
+            {
+                "id": str(t.id),
+                "model": t.model,
+                "preview": preview,
+                "updated_at": t.updated_at.isoformat(),
+                "is_autopilot": str(t.id) == autopilot_id,
+                "autopilot_locked": t.autopilot_locked,
+            }
+        )
+    # Sort autopilot thread first.
+    result.sort(key=lambda t: (not t["is_autopilot"], t["updated_at"]))
+    return JsonResponse(
+        {"threads": result, "autopilot_thread_id": autopilot_id}
+    )
 
 
-# Predictor Endpoints
 @csrf_exempt
-@require_POST
-def predictor_update_trainset_endpoint(request, project_id):
-    payload = {} if request.body is None else json.loads(request.body)
-    label_id = payload.get("label_id")
-    assert label_id, "label_id is required"
-    label = Label.objects.get(id=label_id)
-    label.trainset_num_excluded = int(
-        payload.get("trainset_num_excluded", 1000)
+@require_http_methods(["POST"])
+def create_thread_api(request, project_id, label_id):
+    """POST: create a new thread for a label."""
+    project = get_object_or_404(Project, id=project_id)
+    label = get_object_or_404(Label, id=label_id, project=project)
+    try:
+        data = json.loads(request.body)
+    except json.JSONDecodeError:
+        data = {}
+    model = data.get("model", django_settings.DEFAULT_MODEL)
+    thread = Thread.objects.create(label=label, model=model)
+    return JsonResponse(
+        {"id": str(thread.id), "model": thread.model}, status=201
     )
-    label.trainset_num_neutral = int(payload.get("trainset_num_neutral", 1000))
-    label.trainset_num_likely = int(payload.get("trainset_num_likely", 1000))
-    label.trainset_num_decision_neighbors = int(
-        payload.get("trainset_num_decision_neighbors", 50)
+
+
+def _active_token_count(thread, messages=None):
+    """Sum num_tokens from the last compact point onward, excluding hidden."""
+    compact_msg = (
+        thread.messages.filter(is_compact=True)
+        .order_by("-created_at")
+        .values_list("created_at", flat=True)
+        .first()
+    )
+    qs = thread.messages.filter(hidden=False)
+    if compact_msg:
+        qs = qs.filter(created_at__gte=compact_msg)
+    return qs.aggregate(total=Sum("num_tokens"))["total"] or 0
+
+
+@require_GET
+def thread_messages_api(request, project_id, thread_id):
+    """GET: list messages for a thread."""
+    project = get_object_or_404(Project, id=project_id)
+    thread = get_object_or_404(Thread, id=thread_id, label__project=project)
+    messages = list(thread.messages.order_by("created_at"))
+    total_tokens = _active_token_count(thread, messages)
+    return JsonResponse(
+        {
+            "messages": [
+                {
+                    "id": str(m.id),
+                    "data": m.data,
+                    "num_tokens": m.num_tokens,
+                    "is_compact": m.is_compact,
+                }
+                for m in messages
+            ],
+            "usage": {
+                "total_tokens": total_tokens,
+                "total_cost": thread.total_cost,
+            },
+            "autopilot_locked": thread.autopilot_locked,
+        }
     )
-    label.save()
-    label.update_trainset()
-    return JsonResponse({"ok": True})
 
 
 @csrf_exempt
-@require_POST
-def predictor_update_trainset_preds_endpoint(request, project_id):
-    payload = {} if request.body is None else json.loads(request.body)
-    label_id = payload.get("label_id")
-    assert label_id, "label_id is required"
-    label = Label.objects.get(id=label_id)
-    label.update_trainset_preds()
+@require_http_methods(["POST"])
+def delete_thread_api(request, project_id, thread_id):
+    """POST: delete a thread."""
+    project = get_object_or_404(Project, id=project_id)
+    thread = get_object_or_404(Thread, id=thread_id, label__project=project)
+    thread.delete()
     return JsonResponse({"ok": True})
 
 
-# Finetunes Endpoints
 @csrf_exempt
-@require_POST
-def finetunes_endpoint(request, project_id):
-    payload = {} if request.body is None else json.loads(request.body)
-    label_id = payload.get("label_id")
-    assert label_id, "label_id is required"
-    finetunes_qs = LabelFinetune.objects.filter(label_id=label_id).values(
-        "id", "config_name", "eval_results"
+@require_http_methods(["POST"])
+def recalculate_prediction_stats_api(request, project_id, label_id):
+    """POST: recalculate prediction stats from existing predictions."""
+    project = get_object_or_404(Project, id=project_id)
+    label = get_object_or_404(Label, id=label_id, project=project)
+    label.recalculate_prediction_stats()
+    return JsonResponse({"prediction_stats": label.prediction_stats})
+
+
+@csrf_exempt
+@require_http_methods(["POST"])
+def predict_label_api(request, project_id, label_id):
+    """POST: run predictions for a label using its finetuned model."""
+    project = get_object_or_404(Project, id=project_id)
+    label = get_object_or_404(Label, id=label_id, project=project)
+    if label.finetune_status != "completed":
+        return JsonResponse(
+            {"error": "No completed finetune available."}, status=400
+        )
+    try:
+        label.predict()
+    except Exception as e:
+        return JsonResponse({"error": str(e)}, status=500)
+    return JsonResponse(
+        {
+            "status": "ok",
+            "predicted_at": label.predicted_at.isoformat()
+            if label.predicted_at
+            else None,
+            "prediction_stats": label.prediction_stats,
+        }
     )
-    finetunes = {row["id"]: row for row in finetunes_qs}
-    return JsonResponse({"finetunes": finetunes})
 
 
-# Views
-def search_view(request, project_id):
-    project = Project.objects.get(id=project_id)
-    return render(
-        request,
-        "search/index.html",
+@csrf_exempt
+@require_http_methods(["POST"])
+def cancel_finetune_api(request, project_id, label_id):
+    """POST: cancel an in-progress finetune job."""
+    import os
+
+    import requests as http_requests
+
+    project = get_object_or_404(Project, id=project_id)
+    label = get_object_or_404(Label, id=label_id, project=project)
+    if label.finetune_status != "in_progress":
+        return JsonResponse({"error": "No finetune in progress."}, status=400)
+
+    endpoint_id = os.getenv("RUNPOD_FINETUNE_ENDPOINT_ID")
+    api_key = os.getenv("RUNPOD_API_KEY")
+    if endpoint_id and api_key and label.finetune_id:
+        try:
+            http_requests.post(
+                f"https://api.runpod.ai/v2/{endpoint_id}/cancel/{label.finetune_id}",
+                headers={"Authorization": f"Bearer {api_key}"},
+                timeout=10,
+            )
+        except Exception:
+            pass
+
+    label.finetune_status = "error"
+    label.save(update_fields=["finetune_status", "updated_at"])
+    return JsonResponse({"status": "error"})
+
+
+@csrf_exempt
+@require_http_methods(["POST"])
+def finetune_label_api(request, project_id, label_id):
+    """POST: kick off a finetuning job for a label."""
+    project = get_object_or_404(Project, id=project_id)
+    label = get_object_or_404(Label, id=label_id, project=project)
+    if label.finetune_status == "in_progress":
+        return JsonResponse(
+            {"error": "Finetune already in progress."}, status=409
+        )
+    try:
+        data = json.loads(request.body)
+    except json.JSONDecodeError:
+        data = {}
+    training_args = data.get("training_args") or None
+    try:
+        job_id = label.finetune(training_args=training_args)
+    except Exception as e:
+        return JsonResponse({"error": str(e)}, status=500)
+    return JsonResponse({"job_id": job_id, "status": label.finetune_status})
+
+
+@require_GET
+def finetune_status_api(request, project_id, label_id):
+    """GET: check finetune status for a label."""
+    import os
+
+    import requests as http_requests
+
+    project = get_object_or_404(Project, id=project_id)
+    label = get_object_or_404(Label, id=label_id, project=project)
+
+    if label.finetune_status != "in_progress" or not label.finetune_id:
+        # Find latest annotation updated_at for staleness check.
+        from .models import ClassificationAnnotation
+
+        latest_annotation = (
+            ClassificationAnnotation.objects.filter(
+                label_document__label=label,
+                source="agent",
+                value__in=["yes", "no"],
+            )
+            .order_by("-updated_at")
+            .values_list("updated_at", flat=True)
+            .first()
+        )
+        return JsonResponse(
+            {
+                "status": label.finetune_status,
+                "finetuned_at": label.finetuned_at.isoformat()
+                if label.finetuned_at
+                else None,
+                "training_args": label.finetune_training_args,
+                "latest_annotation_at": latest_annotation.isoformat()
+                if latest_annotation
+                else None,
+            }
+        )
+
+    # Poll RunPod for job status.
+    endpoint_id = os.getenv("RUNPOD_FINETUNE_ENDPOINT_ID")
+    api_key = os.getenv("RUNPOD_API_KEY")
+    progress = None
+
+    if endpoint_id and api_key:
+        try:
+            resp = http_requests.get(
+                f"https://api.runpod.ai/v2/{endpoint_id}/status/{label.finetune_id}",
+                headers={"Authorization": f"Bearer {api_key}"},
+                timeout=10,
+            )
+            resp.raise_for_status()
+            status_data = resp.json()
+
+            if status_data["status"] == "COMPLETED":
+                from django.utils import timezone
+
+                label.finetune_status = "completed"
+                label.finetuned_at = timezone.now()
+                label.save(
+                    update_fields=[
+                        "finetune_status",
+                        "finetuned_at",
+                        "updated_at",
+                    ]
+                )
+            elif status_data["status"] in ("FAILED", "CANCELLED"):
+                label.finetune_status = "error"
+                label.save(update_fields=["finetune_status", "updated_at"])
+            else:
+                progress = status_data.get("output", {})
+        except Exception:
+            # RunPod unreachable or job expired — try the pipeline.
+            try:
+                label.pipe.predict(["test"], batch_size=1)
+                from django.utils import timezone
+
+                label.finetune_status = "completed"
+                label.finetuned_at = timezone.now()
+                label.save(
+                    update_fields=[
+                        "finetune_status",
+                        "finetuned_at",
+                        "updated_at",
+                    ]
+                )
+            except Exception:
+                pass
+
+    from .models import ClassificationAnnotation
+
+    latest_annotation = (
+        ClassificationAnnotation.objects.filter(
+            label_document__label=label,
+            source="agent",
+            value__in=["yes", "no"],
+        )
+        .order_by("-updated_at")
+        .values_list("updated_at", flat=True)
+        .first()
+    )
+
+    return JsonResponse(
         {
-            "project": project,
-            "projects": Project.objects.all().order_by("name"),
-            "label_class": Label,
-        },
+            "status": label.finetune_status,
+            "finetuned_at": label.finetuned_at.isoformat()
+            if label.finetuned_at
+            else None,
+            "training_args": label.finetune_training_args,
+            "progress": progress,
+            "latest_annotation_at": latest_annotation.isoformat()
+            if latest_annotation
+            else None,
+        }
     )
 
 
-def index_view(request):
-    return redirect("search", project_id="docket-entry")
+@csrf_exempt
+@require_http_methods(["POST"])
+def send_message_api(request, project_id, thread_id):
+    """POST: send a user message and get an agent response."""
+    project = get_object_or_404(Project, id=project_id)
+    thread = get_object_or_404(Thread, id=thread_id, label__project=project)
+    try:
+        data = json.loads(request.body)
+    except json.JSONDecodeError:
+        return JsonResponse({"error": "Invalid JSON"}, status=400)
+    content = data.get("content", "").strip()
+    if not content:
+        return JsonResponse({"error": "content is required"}, status=400)
+    if thread.autopilot_locked:
+        return JsonResponse(
+            {"error": "This thread is currently being used by autopilot."},
+            status=423,
+        )
+
+    from clx.llm.agent import message_tokens
+
+    from .agent import CLXAgent
+    from .models import Message as MessageModel
+
+    # If this is an autopilot thread, just save the message — don't run the agent.
+    is_autopilot = (
+        hasattr(thread.label, "autopilot_thread")
+        and thread.label.autopilot_thread_id == thread.id
+    )
+    if is_autopilot:
+        msg_data = {"role": "user", "content": content}
+        MessageModel.objects.create(
+            thread=thread,
+            data=msg_data,
+            num_tokens=message_tokens(msg_data),
+        )
+        # Mark any awaiting_input task for this label as pending.
+        Task.objects.filter(
+            label=thread.label,
+            status=Task.Status.AWAITING_INPUT,
+        ).update(status=Task.Status.PENDING)
+        total_tokens = _active_token_count(thread)
+        return JsonResponse(
+            {
+                "messages": [],
+                "usage": {
+                    "total_tokens": total_tokens,
+                    "total_cost": thread.total_cost,
+                },
+            }
+        )
+
+    agent = CLXAgent(thread)
+    msg_count_before = len(agent.messages)
+    agent.run(content)
+    # Return all new messages (skipping the user message already shown)
+    new_messages = [
+        m
+        for m in agent.messages[msg_count_before + 1 :]
+        if m.get("role") != "system"
+    ]
+
+    thread.refresh_from_db(fields=["total_cost"])
+    total_tokens = _active_token_count(thread)
+    return JsonResponse(
+        {
+            "messages": new_messages,
+            "usage": {
+                "total_tokens": total_tokens,
+                "total_cost": thread.total_cost,
+            },
+        }
+    )
diff --git a/clx/cli/README.md b/clx/cli/README.md
index af062b3..35615c9 100644
--- a/clx/cli/README.md
+++ b/clx/cli/README.md
@@ -1,13 +1,5 @@
 # CLI Commands
 
-## `clx config`
-
-This allows you to configure whether the package should automatically load the `.env` file with `python-dotenv`.
-
-```bash
-clx config --autoload-env on
-```
-
 ## `clx manage`
 
 This command is a wrapper around Django's `manage.py` command. It ensures that Django is initialized before running the command.
@@ -16,22 +8,4 @@ For example, to run the development server:
 
 ```bash
 clx manage runserver
-```
-
-## `clx generate-docket-sample`
-
-This command generates a sample of dockets for use in the docket viewer application. Running this command will execute the following steps:
-
-1. Download the raw bulk docket data from CourtListener's [bulk data archive](https://com-courtlistener-storage.s3-us-west-2.amazonaws.com/list.html?prefix=bulk-data/). The url for this is hardcoded to the bulk data exported on `2025-10-31`. To use an updated version, set the `BULK_DOCKETS_URL` environment variable.
-2. Generates `recap_dockets_reduced.csv`, a preprocessed version of the bulk data. This version:
-    - Merges bulk data with document coverage data, showing the number of RECAP documents (i.e. docket entries / attachments) for each case, plus the number of pdfs available for each.
-    - Filters to cases with at least one docket entry.
-    - Adds a `crude_case_type` column, which attempts to assign a two letter case type based on the `docket_number`.
-    - Scopes columns to those used for sampling (`id`, `date_filed`, `court_id`, `nature_of_suit`, etc.)
-3. Generates an index of `docket_id`s to use for the sample. We use a variety of sampling strategies to ensure the sample is representative, diverse, and includes edge cases. The sample is saved to `docket_index.csv`. Sampling approaches include:
-    - Short cases by court and filing year: Cases with fewer than 20 docket entries.
-    - Medium cases by court and filing year: Cases with 20-500 docket entries.
-    - Long cases by filing year only: Cases with more than 500 docket entries.
-    - Cases where at least 90% of the main documents are available by court and filing year.
-    - Crude case type: Cases with a two letter case type.
-    - Nature of suit: Cases with a nature of suit (only applicable to civil cases)
+```
\ No newline at end of file
diff --git a/clx/cli/__init__.py b/clx/cli/__init__.py
index 52fb49b..5e0bffb 100644
--- a/clx/cli/__init__.py
+++ b/clx/cli/__init__.py
@@ -1,13 +1,8 @@
 import click
 
-from .cache_datasets import cache_datasets
-from .cleanup import cleanup
-from .config import config
-from .dump_labels import dump_labels
-from .generate_docket_sample import generate_docket_sample
+from .autopilot import autopilot
 from .manage import manage
-from .predict_scales import predict_scales
-from .train import train
+from .train_multi_label import train_multi_label
 
 
 @click.group()
@@ -17,10 +12,5 @@ def cli():
 
 
 cli.add_command(manage)
-cli.add_command(config)
-cli.add_command(cache_datasets)
-cli.add_command(train)
-cli.add_command(cleanup)
-cli.add_command(dump_labels)
-cli.add_command(predict_scales)
-cli.add_command(generate_docket_sample)
+cli.add_command(autopilot)
+cli.add_command(train_multi_label)
diff --git a/clx/cli/autopilot.py b/clx/cli/autopilot.py
new file mode 100644
index 0000000..2894a5d
--- /dev/null
+++ b/clx/cli/autopilot.py
@@ -0,0 +1,233 @@
+import logging
+import signal
+import time
+
+import click
+
+from clx import init_django
+
+logger = logging.getLogger("clx.autopilot")
+logger.setLevel(logging.INFO)
+if not logger.handlers:
+    handler = logging.StreamHandler()
+    handler.setFormatter(
+        logging.Formatter(
+            "%(asctime)s [autopilot] %(message)s", datefmt="%H:%M:%S"
+        )
+    )
+    logger.addHandler(handler)
+
+TASK_PROMPT_TEMPLATE = """\
+[New Task: {prompt_name}]
+
+{prompt_content}
+
+[Once you have fully completed your task, call the CompleteTask tool.]
+"""
+
+
+def _resolve_prompt(task):
+    """Get prompt content for a task, checking project customizations first."""
+    from clx.app.models import Prompt
+    from clx.app.prompts import prompt_registry
+
+    try:
+        prompt = Prompt.objects.get(
+            project=task.project, prompt_id=task.prompt_id
+        )
+        return prompt.name, prompt.content
+    except Prompt.DoesNotExist:
+        pass
+
+    entry = prompt_registry.get(task.prompt_id)
+    if entry:
+        return entry["name"], entry["content"]
+
+    return task.prompt_id, f"(Unknown prompt: {task.prompt_id})"
+
+
+def _get_thread_for_task(task):
+    """Get (or lazily create) the autopilot thread for a task."""
+    from clx.app.models import Thread
+
+    if task.label:
+        label = task.label
+    else:
+        label = task.project.active_label or task.project.labels.first()
+
+    if not label:
+        return None
+
+    if not label.autopilot_thread_id:
+        thread = Thread.objects.create(label=label)
+        label.autopilot_thread = thread
+        label.save(update_fields=["autopilot_thread", "updated_at"])
+
+    return label.autopilot_thread
+
+
+def _process_task(task, resume=False):
+    """Run a single task through the autopilot agent."""
+    from clx.app.agent import CLXAgent
+    from clx.app.tools import CompleteTask
+
+    thread = _get_thread_for_task(task)
+    if not thread:
+        logger.warning(f"No thread available for task {task.id}, skipping")
+        return
+
+    # Lock the thread and mark task in-progress.
+    thread.autopilot_locked = True
+    thread.save(update_fields=["autopilot_locked", "updated_at"])
+    task.status = task.Status.IN_PROGRESS
+    task.save(update_fields=["status", "updated_at"])
+
+    try:
+        # Build the agent with CompleteTask injected.
+        tools = CLXAgent.default_tools + [CompleteTask]
+        agent = CLXAgent(thread, tools=tools)
+
+        # Compact before starting/resuming the task if needed.
+        agent.compact_if_needed()
+
+        # For resume, the user's message is already in the thread history
+        # (saved by send_message_api). Pass None so the agent just responds.
+        if resume:
+            message = None
+        else:
+            prompt_name, prompt_content = _resolve_prompt(task)
+            message = TASK_PROMPT_TEMPLATE.format(
+                prompt_name=prompt_name,
+                prompt_content=prompt_content,
+            )
+
+        logger.info(f"Running task: {task.prompt_id} (label={task.label})")
+        result = agent.autopilot_run(message)
+
+        if result == "completed":
+            logger.info(f"Task completed: {task.prompt_id}")
+            task.delete()
+            task.project.update_tasks()
+        else:
+            logger.info(f"Task awaiting input: {task.prompt_id}")
+            task.status = task.Status.AWAITING_INPUT
+            task.save(update_fields=["status", "updated_at"])
+    finally:
+        thread.autopilot_locked = False
+        thread.save(update_fields=["autopilot_locked", "updated_at"])
+
+
+# Track last-processed label per project for round-robin scheduling.
+_last_label = {}  # project_id -> label_id
+
+
+def _process_cycle():
+    """Run one autopilot cycle across all enabled projects."""
+    from django.db import close_old_connections
+
+    from clx.app.models import Project, Task
+
+    close_old_connections()
+    projects = Project.objects.filter(autopilot_enabled=True)
+    for project in projects:
+        project.update_tasks()
+
+        # Check for awaiting_input tasks where the user has replied.
+        # The web UI saves user messages directly without running the agent,
+        # so we just check for new messages since the task paused.
+        for task in project.tasks.filter(status=Task.Status.AWAITING_INPUT):
+            thread = _get_thread_for_task(task)
+            if not thread:
+                continue
+            # Check for any messages after the task entered awaiting_input.
+            new_msgs = thread.messages.filter(
+                created_at__gt=task.updated_at
+            ).exists()
+            if new_msgs:
+                _process_task(task, resume=True)
+                _last_label[str(project.id)] = str(task.label_id)
+                project.refresh_from_db(fields=["autopilot_enabled"])
+                if not project.autopilot_enabled:
+                    break
+
+        # Refresh to check if autopilot is still enabled.
+        project.refresh_from_db(fields=["autopilot_enabled"])
+        if not project.autopilot_enabled:
+            continue
+
+        # Pick the next pending task, but only if its label's autopilot
+        # thread doesn't already have an active task.
+        # Round-robin: prefer labels we haven't worked on recently.
+        active_labels = set(
+            project.tasks.filter(
+                status__in=[
+                    Task.Status.IN_PROGRESS,
+                    Task.Status.AWAITING_INPUT,
+                ]
+            ).values_list("label_id", flat=True)
+        )
+        candidates = list(
+            project.tasks.filter(status=Task.Status.PENDING)
+            .exclude(label_id__in=active_labels)
+            .order_by("created_at")
+        )
+        if not candidates:
+            continue
+
+        # Pick the first candidate whose label differs from last-processed.
+        last = _last_label.get(str(project.id))
+        task = None
+        for c in candidates:
+            if str(c.label_id) != last:
+                task = c
+                break
+        if task is None:
+            task = candidates[0]
+
+        updated = Task.objects.filter(
+            id=task.id, status=Task.Status.PENDING
+        ).update(status=Task.Status.IN_PROGRESS)
+        if updated:
+            task.refresh_from_db()
+            _last_label[str(project.id)] = str(task.label_id)
+            _process_task(task)
+
+
+def _cleanup():
+    """Clear stale locks and reset in-progress tasks."""
+    from django.db import close_old_connections
+
+    from clx.app.models import Task, Thread
+
+    close_old_connections()
+    Thread.objects.filter(autopilot_locked=True).update(autopilot_locked=False)
+    Task.objects.filter(status=Task.Status.IN_PROGRESS).update(
+        status=Task.Status.PENDING
+    )
+
+
+@click.command()
+@click.option("--interval", default=10, help="Seconds between polling cycles")
+def autopilot(interval):
+    """Run the autopilot loop, processing tasks for enabled projects."""
+    init_django()
+
+    _cleanup()
+    logger.info(f"Autopilot started. Polling every {interval}s...")
+
+    def handle_shutdown(signum, frame):
+        logger.info("Shutting down, cleaning up locks...")
+        _cleanup()
+        raise SystemExit(0)
+
+    signal.signal(signal.SIGINT, handle_shutdown)
+    signal.signal(signal.SIGTERM, handle_shutdown)
+
+    while True:
+        try:
+            _process_cycle()
+        except SystemExit:
+            raise
+        except Exception:
+            logger.exception("Error in autopilot cycle")
+        time.sleep(interval)
diff --git a/clx/cli/cache_datasets.py b/clx/cli/cache_datasets.py
deleted file mode 100644
index e4cc410..0000000
--- a/clx/cli/cache_datasets.py
+++ /dev/null
@@ -1,21 +0,0 @@
-import click
-from tqdm import tqdm
-
-from clx import pd_save_or_append
-
-
-@click.command()
-def cache_datasets():
-    """Dump search datasets to CSV files."""
-    from clx.models import Project
-
-    for project in tqdm(Project.objects.all(), desc="Caching datasets"):
-        model = project.get_search_model()
-        dataset_path = project.cached_documents_path
-        dataset_path.parent.mkdir(parents=True, exist_ok=True)
-        if dataset_path.exists():
-            dataset_path.unlink()
-        for data in model.objects.batch_df(
-            "id", "text_hash", "text", batch_size=500000
-        ):
-            pd_save_or_append(data, dataset_path)
diff --git a/clx/cli/cleanup.py b/clx/cli/cleanup.py
deleted file mode 100644
index d1557e7..0000000
--- a/clx/cli/cleanup.py
+++ /dev/null
@@ -1,52 +0,0 @@
-import click
-from tqdm import tqdm
-
-
-@click.command()
-@click.argument("project_id", default=None)
-@click.argument("label_name", default=None)
-@click.option("--update", is_flag=True, help="Update labels")
-@click.option("--predict", is_flag=True, help="Run global corpus predictions")
-def cleanup(project_id, label_name, update, predict):
-    """Sync app data."""
-    from clx.models import LabelHeuristic, Project
-
-    # Guarantee tags rows for all projects.
-    print("Guaranteeing tags rows for all projects...")
-    for project in Project.objects.all():
-        project.get_search_model().guarantee_tags_rows()
-
-    # Sync custom heuristics.
-    print("Syncing custom heuristics...")
-    LabelHeuristic.sync_custom_heuristics()
-
-    # Apply new heuristics
-    for heuristic in tqdm(
-        list(LabelHeuristic.objects.filter(applied_at__isnull=True))
-    ):
-        print(f"Applying heuristic {heuristic.name}...")
-        heuristic.apply()
-
-    # Update out of date heuristics.
-    for project in Project.objects.all():
-        search_model = project.get_search_model()
-        last_created_example = search_model.objects.order_by(
-            "-created_at"
-        ).first()
-        if last_created_example is not None:
-            for heuristic in LabelHeuristic.objects.filter(
-                label__project=project
-            ):
-                if (
-                    heuristic.applied_at is not None
-                    and heuristic.applied_at < last_created_example.created_at
-                ):
-                    print(f"Updating heuristic {heuristic.name}...")
-                    heuristic.apply()
-
-        if update and (project_id is None or project_id == project.id):
-            for label in project.labels.all().order_by("name"):
-                if label_name is None or label.name == label_name:
-                    print(f"Updating label {label.name}...")
-                    label.update_all(predict=predict, num_threads=8)
-                    print(f"Label {label.name} updated.")
diff --git a/clx/cli/config.py b/clx/cli/config.py
deleted file mode 100644
index b29a6b5..0000000
--- a/clx/cli/config.py
+++ /dev/null
@@ -1,32 +0,0 @@
-import click
-import simplejson as json
-
-from clx.settings import CONFIG_PATH
-
-
-@click.command()
-@click.option(
-    "--autoload-env",
-    type=bool,
-    default=None,
-    help="Whether to autoload the .env file with python-dotenv.",
-)
-def config(autoload_env):
-    config = {}
-    if CONFIG_PATH.exists():
-        config = json.loads(CONFIG_PATH.read_text())
-
-    updated = False
-
-    config["autoload-env"] = config.get("autoload-env", False)
-    if autoload_env is not None:
-        config["autoload-env"] = autoload_env
-        updated = True
-
-    if updated:
-        CONFIG_PATH.parent.mkdir(parents=True, exist_ok=True)
-        CONFIG_PATH.write_text(json.dumps(config, indent=4))
-        print(f"Config saved to {CONFIG_PATH}")
-
-    print(f"Config: \n{json.dumps(config, indent=4)}")
-    print("Run `clx config --help` for more package configuration options.")
diff --git a/clx/cli/dump_labels.py b/clx/cli/dump_labels.py
deleted file mode 100644
index 07d0b52..0000000
--- a/clx/cli/dump_labels.py
+++ /dev/null
@@ -1,32 +0,0 @@
-import click
-import pandas as pd
-
-
-@click.command()
-def dump_labels():
-    """Dump project label data"""
-    from clx.models import LabelDecision, Project
-
-    for project in Project.objects.all():
-        project.data_dir.mkdir(parents=True, exist_ok=True)
-        instructions_path = project.data_dir / "instructions.txt"
-        if project.instructions:
-            instructions_path.write_text(project.instructions)
-        for label in project.labels.all():
-            label.data_dir.mkdir(parents=True, exist_ok=True)
-            label_instructions_path = label.data_dir / "instructions.txt"
-            if label.instructions:
-                label_instructions_path.write_text(label.instructions)
-
-            annos_path = label.data_dir / "annos.csv"
-            annos = label.load_annos()
-            if len(annos):
-                annos.to_csv(annos_path, index=False)
-
-            decisions_path = label.data_dir / "decisions.csv"
-            decisions = LabelDecision.objects.filter(label=label)
-            decisions = pd.DataFrame(
-                decisions.values("text_hash", "text", "value", "reason")
-            )
-            if len(decisions):
-                decisions.to_csv(decisions_path, index=False)
diff --git a/clx/cli/predict_scales.py b/clx/cli/predict_scales.py
deleted file mode 100644
index 7208e1f..0000000
--- a/clx/cli/predict_scales.py
+++ /dev/null
@@ -1,124 +0,0 @@
-import click
-import pandas as pd
-from tqdm import tqdm
-from transformers import AutoModelForSequenceClassification
-
-from clx import label2slug
-from clx.ml import pipeline
-from clx.settings import CLX_HOME
-from clx.utils import pd_save_or_append
-
-SCALES_DIR = CLX_HOME / "app_projects" / "docket-entry" / "scales"
-MODEL_DIR = CLX_HOME / "models" / "scales"
-
-scales2label = {
-    "summons": "Summons",
-    "waiver": "Waiver",
-    "brief": "Brief / Memorandum",
-    "arrest": "Arrest",
-    "warrant": "Warrant",
-    "verdict": "Verdict",
-    "answer": "Answer",
-    "complaint": "Complaint",
-    "indictment": "Indictment",
-    "information": "Information",
-    "petition": "Petition",
-    "notice": "Notice",
-    "response": "Reply / Response",
-    "minute entry": "Minute Entry",
-    "plea agreement": "Plea Agreement",
-    "judgment": "Judgment",
-    "stipulation": "Stipulation",
-    "motion": "Motion",
-    "order": "Order",
-}
-
-
-@click.command()
-@click.option(
-    "do_import",
-    "--import",
-    is_flag=True,
-    help="Import the predictions to docket viewer",
-)
-def predict_scales(do_import):
-    """Make predictions using the scales model across the docket sample."""
-    SCALES_DIR.mkdir(parents=True, exist_ok=True)
-    all_data = pd.read_csv(
-        CLX_HOME / "app_projects" / "docket-entry" / "docs.csv"
-    )
-
-    if not do_import:
-        MODEL_DIR.mkdir(parents=True, exist_ok=True)
-
-        all_data = all_data.drop_duplicates(subset=["text_hash"])
-
-        for scales_label, label_name in tqdm(
-            scales2label.items(), desc="Predicting scales"
-        ):
-            scales_path = SCALES_DIR / f"{label2slug(label_name)}.csv"
-
-            data = all_data.copy()
-            if scales_path.exists():
-                existing_data = pd.read_csv(
-                    scales_path, usecols=["text_hash"], engine="python"
-                )
-                data = data[
-                    ~data["text_hash"].isin(existing_data["text_hash"])
-                ]
-
-            if len(data) != 0:
-                model_name = (
-                    f"scales-okn/ontology-{scales_label.replace(' ', '-')}"
-                )
-                model = AutoModelForSequenceClassification.from_pretrained(
-                    model_name,
-                    cache_dir=str(MODEL_DIR),
-                )
-                pipe = pipeline(
-                    "classification",
-                    model=model,
-                    tokenizer=model_name,
-                    fp16=True,
-                )
-                data = data.to_dict(orient="records")
-                mega_batch_size = 100000
-                mega_batches = [
-                    data[i : i + mega_batch_size]
-                    for i in range(0, len(data), mega_batch_size)
-                ]
-                for mega_batch in tqdm(
-                    mega_batches, desc=f"Predicting {scales_label}"
-                ):
-                    mega_batch = pd.DataFrame(mega_batch)
-                    mega_batch["pred"] = pipe.predict(
-                        mega_batch["text"].tolist(),
-                        batch_size=16,
-                        return_scores=True,
-                        max_length=256,
-                        truncation=True,
-                    )
-                    mega_batch["pred"] = mega_batch["pred"].apply(
-                        lambda x: x["LABEL_1"]
-                    )
-                    pd_save_or_append(
-                        mega_batch[["text_hash", "pred"]], scales_path
-                    )
-    else:
-        from clx.models import DocketEntry, Label, LabelTag
-
-        project = DocketEntry.get_project()
-        for label_name in tqdm(scales2label.values(), desc="Importing tags"):
-            label, _ = Label.objects.get_or_create(
-                project=project, name=label_name
-            )
-            tag, _ = LabelTag.objects.get_or_create(label=label, name="scales")
-            scales_data = pd.read_csv(
-                SCALES_DIR / f"{label2slug(label_name)}.csv"
-            )
-            text_hashes = list(
-                scales_data[scales_data["pred"] > 0.5]["text_hash"].unique()
-            )
-            label_data = all_data[all_data["text_hash"].isin(text_hashes)]
-            print(f"Importing {len(text_hashes)} tags for {label_name}")
-            DocketEntry.bulk_replace_tag(tag.id, label_data["id"].tolist())
diff --git a/clx/cli/train.py b/clx/cli/train.py
deleted file mode 100644
index c208463..0000000
--- a/clx/cli/train.py
+++ /dev/null
@@ -1,13 +0,0 @@
-import click
-
-
-@click.command()
-@click.argument("project_id")
-@click.argument("label_name")
-@click.argument("config_name")
-def train(project_id, label_name, config_name):
-    """Train a finetune model for a label."""
-    from clx.models import Label
-
-    label = Label.objects.get(project_id=project_id, name=label_name)
-    label.train_finetune(config_name)
diff --git a/clx/cli/train_multi_label.py b/clx/cli/train_multi_label.py
new file mode 100644
index 0000000..efff445
--- /dev/null
+++ b/clx/cli/train_multi_label.py
@@ -0,0 +1,128 @@
+import click
+import pandas as pd
+from tqdm import tqdm
+
+from clx.ml import pipeline, training_run
+from clx.settings import CLX_HOME
+from clx.utils import pd_save_or_append
+
+
+def get_label_predictions(data_dir, data, label):
+    preds_path = data_dir / "preds" / f"{label.id}.csv"
+    preds_path.parent.mkdir(parents=True, exist_ok=True)
+    needs_preds = data.copy()
+
+    if preds_path.exists():
+        preds = pd.read_csv(preds_path)
+        needs_preds = needs_preds[
+            ~needs_preds["document_id"].isin(preds["document_id"])
+        ]
+
+    if len(needs_preds) > 0:
+        needs_preds["score"] = label.pipe.predict(
+            needs_preds["text"].tolist(),
+            num_workers=32,
+            return_scores=True,
+        )
+        needs_preds["score"] = needs_preds["score"].apply(lambda x: x["yes"])
+        needs_preds = needs_preds[["document_id", "score"]]
+        pd_save_or_append(needs_preds, preds_path)
+    return pd.read_csv(preds_path)
+
+
+def train(data, project_id, label_ids, remote=False):
+    data = data.copy()[["text", "labels"]]
+
+    data = data.sample(frac=1)
+    split = int(0.8 * len(data))
+    train_data = data.head(split)
+    eval_data = data.tail(-split)
+
+    batch_size = 8
+    gradient_accumulation_steps = 1
+    num_train_epochs = 3
+
+    save_steps = (
+        (len(train_data) / (batch_size * gradient_accumulation_steps))
+        * num_train_epochs
+    ) // 10
+    eval_steps = save_steps
+
+    train_run = training_run(
+        task="multi-label-classification",
+        run_name=f"multi-label-{project_id}",
+        label_names=label_ids,
+        # base_model_name="docketanalyzer/modernbert-unit-test",
+        tokenize_args={
+            "max_length": 768,
+            "padding": False,
+        },
+        training_args={
+            "eval_strategy": "steps",
+            "eval_steps": eval_steps,
+            "save_steps": save_steps,
+            "num_train_epochs": num_train_epochs,
+            "per_device_train_batch_size": batch_size,
+            "per_device_eval_batch_size": batch_size,
+            "gradient_accumulation_steps": gradient_accumulation_steps,
+            "bf16": True,
+        },
+    )
+    train_run.train(train_data, eval_data, overwrite=True, remote=remote)
+
+
+@click.command()
+@click.argument("project_name", type=str)
+@click.option("--remote", is_flag=True, default=False)
+def train_multi_label(project_name, remote):
+    from clx.models import LabelDocument, Project
+
+    project = Project.objects.get(name=project_name)
+    data_dir = project.project_dir / "train"
+    data_dir.mkdir(parents=True, exist_ok=True)
+
+    path = data_dir / "data.csv"
+    if not path.exists():
+        data = LabelDocument.objects.filter(label__project=project)
+        data = data.values_list("document__id", "document__text")
+        data = pd.DataFrame(data, columns=["document_id", "text"])
+        data = data.drop_duplicates(subset=["document_id"])
+        data = data.sample(frac=1)
+        data.to_csv(path, index=False)
+    else:
+        data = pd.read_csv(path)
+
+    label2name = {}
+    for label in tqdm(project.labels.all(), desc="Getting label predictions"):
+        if label.finetune_status == "completed":
+            label2name[label.id] = label.name
+            label_data = get_label_predictions(data_dir, data, label)
+            label_data = label_data.rename(columns={"score": str(label.id)})
+            data = data.merge(label_data, on="document_id", how="left").fillna(
+                0
+            )
+    label_ids = list(label2name.keys())
+
+    data["labels"] = data[label_ids].apply(
+        lambda x: [lid for lid in label_ids if x[lid] > 0.5], axis=1
+    )
+
+    model_path = CLX_HOME / "runs" / f"multi-label-{project.id}" / "model"
+
+    if not model_path.exists():
+        train(data, project.id, label_ids, remote)
+
+    pipe = pipeline(
+        "multi-label-classification",
+        model=model_path,
+        remote=remote,
+        max_length=768,
+        bf16=True,
+    )
+    data["predictions"] = pipe.predict(
+        data["text"].tolist(), return_scores=True, batch_size=8
+    )
+    data["predicted_labels"] = data["predictions"].apply(
+        lambda x: [label2name[lid] for lid in x if x[lid] > 0.5]
+    )
+    data.to_csv(data_dir / "predictions.csv", index=False)
diff --git a/clx/llm/agent.py b/clx/llm/agent.py
index c651cc4..3913196 100644
--- a/clx/llm/agent.py
+++ b/clx/llm/agent.py
@@ -1,11 +1,33 @@
+import logging
+import time
 from typing import Any, ClassVar
 
 import litellm
 import simplejson as json
+import tiktoken
 from pydantic import BaseModel, Field
 
 litellm.drop_params = True
 
+_encoding = tiktoken.get_encoding("cl100k_base")
+
+
+def count_tokens(text: str) -> int:
+    """Count tokens in text using cl100k_base encoding."""
+    return len(_encoding.encode(text))
+
+
+logger = logging.getLogger("clx.llm")
+logger.setLevel(logging.DEBUG)
+if not logger.handlers:
+    handler = logging.StreamHandler()
+    handler.setFormatter(
+        logging.Formatter(
+            "%(asctime)s [%(name)s] %(message)s", datefmt="%H:%M:%S"
+        )
+    )
+    logger.addHandler(handler)
+
 
 class Tool(BaseModel):
     """Extend pydantic BaseModel with convenience methods for LLM tools."""
@@ -78,21 +100,20 @@ def on_init(self, **kwargs):
         """Hook to run after initialization."""
         pass
 
+    # Fields to exclude from messages sent to the LLM.
+    _internal_fields = {"name", "args"}
+
     @property
     def sanitized_messages(self):
-        """Strip invalid fields from messages."""
-        sanitized_messages = []
-        for message in self.messages:
-            sanitized_message = {
-                "role": message["role"],
-                "content": message["content"],
+        """Strip internal fields from messages, preserving provider fields."""
+        return [
+            {
+                k: v
+                for k, v in message.items()
+                if k not in self._internal_fields
             }
-            if "tool_calls" in message:
-                sanitized_message["tool_calls"] = message["tool_calls"]
-            if message["role"] == "tool":
-                sanitized_message["tool_call_id"] = message["tool_call_id"]
-            sanitized_messages.append(sanitized_message)
-        return sanitized_messages
+            for message in self.messages
+        ]
 
     @property
     def tool_history(self):
@@ -123,13 +144,39 @@ def step(
         completion_args["messages"] = self.sanitized_messages
 
         # Make the completion call
+        logger.info("Calling LLM...")
+        t0 = time.time()
         self.r = litellm.completion(**completion_args)
+        llm_elapsed = time.time() - t0
         response_message = dict(self.r.choices[0].message)
+
+        # Log the call
+        model = completion_args.get("model", "?")
+        usage = self.r.usage
+        tokens = (
+            f"{usage.prompt_tokens}→{usage.completion_tokens}"
+            if usage
+            else "?"
+        )
+        try:
+            cost = (
+                f"${litellm.completion_cost(completion_response=self.r):.4f}"
+            )
+        except Exception:
+            cost = "$?"
+        tool_names = ""
         if response_message.get("tool_calls"):
             response_message["tool_calls"] = [
                 dict(tool_call, function=dict(tool_call.function))
                 for tool_call in response_message["tool_calls"]
             ]
+            tool_names = " → " + ", ".join(
+                tc["function"]["name"] for tc in response_message["tool_calls"]
+            )
+        logger.info(
+            f"{model} | {tokens} tokens | {cost} | "
+            f"{llm_elapsed:.1f}s{tool_names}"
+        )
         self.messages.append(response_message)
 
         # Run tools if present
@@ -138,7 +185,13 @@ def step(
                 tool_name = tool_call["function"]["name"]
                 tool = self.tools[tool_name]
                 tool_args = json.loads(tool_call["function"]["arguments"])
+                t0 = time.time()
                 tool_response = tool(**tool_args)(self) or "Success"
+                tool_elapsed = time.time() - t0
+                logger.info(
+                    f"  {tool_name} → {tool_elapsed:.1f}s | "
+                    f"{tool_response[:120]}"
+                )
                 self.messages.append(
                     {
                         "tool_call_id": tool_call["id"],
@@ -149,7 +202,12 @@ def step(
                     }
                 )
 
+        logger.info("Saving messages to DB...")
+        t0 = time.time()
         self.on_step(response_message)
+        save_elapsed = time.time() - t0
+        if save_elapsed > 0.5:
+            logger.info(f"  DB save took {save_elapsed:.1f}s")
         return response_message
 
     def on_step(self, response_message: dict):
@@ -167,7 +225,7 @@ def run(
                 messages, **completion_args, call_tools=True
             )
             messages = None  # Only pass messages on the first step
-            if self.r.choices[0].finish_reason != "tool_calls":
+            if not response_message.get("tool_calls"):
                 break
         return response_message
 
@@ -176,4 +234,17 @@ def __call__(self, **kwargs):
         pass
 
 
-__all__ = ["Agent", "Tool", "Field"]
+def message_tokens(msg: dict) -> int:
+    """Count the token length of a message's content."""
+    tokens = 0
+    content = msg.get("content")
+    if content:
+        tokens += count_tokens(content)
+    for tc in msg.get("tool_calls") or []:
+        fn = tc.get("function", {})
+        tokens += count_tokens(fn.get("name", ""))
+        tokens += count_tokens(fn.get("arguments", ""))
+    return tokens
+
+
+__all__ = ["Agent", "Tool", "Field", "count_tokens", "message_tokens"]
diff --git a/clx/ml/remote_pipeline.py b/clx/ml/remote_pipeline.py
index c2e1ca1..d97a60a 100644
--- a/clx/ml/remote_pipeline.py
+++ b/clx/ml/remote_pipeline.py
@@ -75,20 +75,20 @@ def handle_megabatch(megabatch: list):
                 for megabatch in megabatches
             ]
 
-        for future in tqdm(
-            as_completed(futures),
-            total=len(futures),
-            desc="Predicting",
-            disable=len(futures) < 2,
-        ):
-            result = future.result()
-            if result["status"] == "error":
-                raise Exception(result["errors"])
+            for future in tqdm(
+                as_completed(futures),
+                total=len(futures),
+                desc="Predicting",
+                disable=len(futures) < 2,
+            ):
+                result = future.result()
+                if result["status"] == "error":
+                    raise Exception(result["errors"])
 
-        results = []
-        for future in futures:
-            results += future.result()["results"]
-        return results
+            results = []
+            for future in futures:
+                results += future.result()["results"]
+            return results
 
     def __call__(self, *args, **kwargs):
         return self.predict(*args, **kwargs)
diff --git a/clx/settings.py b/clx/settings.py
index fdcea5d..142dff8 100644
--- a/clx/settings.py
+++ b/clx/settings.py
@@ -65,3 +65,30 @@
 STATIC_URL = "/static/"
 
 DEFAULT_AUTO_FIELD = "django.db.models.BigAutoField"
+
+LOGGING = {
+    "version": 1,
+    "disable_existing_loggers": False,
+    "handlers": {
+        "console": {"class": "logging.StreamHandler"},
+    },
+    "loggers": {
+        "django.db.backends": {
+            "level": os.getenv("SQL_LOG_LEVEL", "WARNING"),
+            "handlers": ["console"],
+        },
+    },
+}
+
+# -- LLM Model Configuration --
+
+DEFAULT_MODEL = "openai/gpt-5.4"
+
+MODEL_IDS = [
+    "openai/gpt-5.4",
+    "openai/gpt-5.4-mini",
+    "gemini/gemini-3.1-pro-preview",
+    "gemini/gemini-3-flash-preview",
+    "anthropic/claude-opus-4-6",
+    "anthropic/claude-sonnet-4-6",
+]
diff --git a/projects/README.md b/experiments/README.md
similarity index 100%
rename from projects/README.md
rename to experiments/README.md
diff --git a/experiments/docket-data/import_data.py b/experiments/docket-data/import_data.py
new file mode 100644
index 0000000..6b18b3e
--- /dev/null
+++ b/experiments/docket-data/import_data.py
@@ -0,0 +1,38 @@
+import pandas as pd
+
+from clx.models import Project
+from clx.settings import CLX_HOME
+
+DATA_PATH = CLX_HOME / "experiments" / "docket-data" / "docket_data.csv"
+PREPPED_PATH = (
+    CLX_HOME / "experiments" / "docket-data" / "docket_data_prepped.csv"
+)
+
+if not PREPPED_PATH.exists():
+    data = pd.read_csv(DATA_PATH)
+    data = data.drop(columns=["meta", "cites"])
+
+    short_data = data[data["short_description"].notna()]
+    short_data = short_data.drop(columns=["description"])
+    short_data = short_data.rename(columns={"short_description": "text"})
+    short_data["is_short_description"] = True
+    print(short_data)
+
+    long_data = data[data["description"].notna()]
+    long_data = long_data.drop(columns=["short_description"])
+    long_data = long_data.rename(columns={"description": "text"})
+    long_data["is_short_description"] = False
+    print(long_data)
+
+    data = pd.concat([short_data, long_data])
+    data = data.drop_duplicates(subset=["text"])
+    data = data.dropna(subset=["text"])
+    print(data)
+
+    data.to_csv(PREPPED_PATH, index=False)
+
+project, _ = Project.objects.get_or_create(name="Docket Entry")
+
+chunks = pd.read_csv(PREPPED_PATH, chunksize=5000)
+for chunk in chunks:
+    project.add_docs(chunk)
diff --git a/clx/cli/generate_docket_sample.py b/experiments/docket-data/run.py
similarity index 96%
rename from clx/cli/generate_docket_sample.py
rename to experiments/docket-data/run.py
index e35b43e..9979793 100644
--- a/clx/cli/generate_docket_sample.py
+++ b/experiments/docket-data/run.py
@@ -1,9 +1,9 @@
+import argparse
 import ast
 import os
 import time
 import urllib.parse
 
-import click
 import pandas as pd
 import requests
 from tqdm import tqdm
@@ -399,16 +399,7 @@ def import_docket_sample(batch_size=500000):
     DocketEntryShort.guarantee_tags_rows()
 
 
-@click.command()
-@click.option(
-    "do_import", "--import", is_flag=True, help="Import the docket sample"
-)
-@click.option(
-    "--skip-cached-steps",
-    is_flag=True,
-    help="Instead of downloading the cached data, this will re-run the data generation pipeline from scratch.",
-)
-def generate_docket_sample(do_import, skip_cached_steps):
+def main(do_import, skip_cached_steps):
     """Prepare a sample of dockets for use in the application."""
     DOCKET_SAMPLE_PATH.parent.mkdir(parents=True, exist_ok=True)
 
@@ -433,3 +424,22 @@ def generate_docket_sample(do_import, skip_cached_steps):
         download_docket_sample()
     else:
         import_docket_sample()
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(
+        description="Prepare a sample of dockets for use in the application."
+    )
+    parser.add_argument(
+        "--import",
+        dest="do_import",
+        action="store_true",
+        help="Import the docket sample",
+    )
+    parser.add_argument(
+        "--skip-cached-steps",
+        action="store_true",
+        help="Instead of downloading the cached data, this will re-run the data generation pipeline from scratch.",
+    )
+    args = parser.parse_args()
+    main(args.do_import, args.skip_cached_steps)
diff --git a/projects/docketbert/README.md b/experiments/docketbert/README.md
similarity index 99%
rename from projects/docketbert/README.md
rename to experiments/docketbert/README.md
index adf6f59..5801f5b 100644
--- a/projects/docketbert/README.md
+++ b/experiments/docketbert/README.md
@@ -9,7 +9,7 @@ We conducted several small-scale pretraining experiments to evaluate different p
 For the detailed experimental setup, see the [`train.py`](train.py) script. To see the full tensorboard logs from these experiments, run the following command:
 
 ```bash
-tensorboard --logdir home/projects/docketbert/runs
+tensorboard --logdir home/experiments/docketbert/runs
 ```
 
 > **Note**: We also conducted an initial experiment using our `scratch-27M` config across 5 epochs. This model ultimately achieved a loss of 0.83, much lower than what is reported in the single-epoch results below. Because of this, and given that the loss curves for all experiments did not plateau, our final training runs should incorporate much more data and be trained for much longer to fully converge.
diff --git a/projects/docketbert/README.template.md b/experiments/docketbert/README.template.md
similarity index 98%
rename from projects/docketbert/README.template.md
rename to experiments/docketbert/README.template.md
index f2e69a2..49185ea 100644
--- a/projects/docketbert/README.template.md
+++ b/experiments/docketbert/README.template.md
@@ -9,7 +9,7 @@ We conducted several small-scale pretraining experiments to evaluate different p
 For the detailed experimental setup, see the [`train.py`](train.py) script. To see the full tensorboard logs from these experiments, run the following command:
 
 ```bash
-tensorboard --logdir home/projects/docketbert/runs
+tensorboard --logdir home/experiments/docketbert/runs
 ```
 
 > **Note**: We also conducted an initial experiment using our `scratch-27M` config across 5 epochs. This model ultimately achieved a loss of 0.83, much lower than what is reported in the single-epoch results below. Because of this, and given that the loss curves for all experiments did not plateau, our final training runs should incorporate much more data and be trained for much longer to fully converge.
diff --git a/projects/docketbert/generate_readme.py b/experiments/docketbert/generate_readme.py
similarity index 91%
rename from projects/docketbert/generate_readme.py
rename to experiments/docketbert/generate_readme.py
index 688fc41..33e040b 100644
--- a/projects/docketbert/generate_readme.py
+++ b/experiments/docketbert/generate_readme.py
@@ -3,7 +3,7 @@
 
 from clx.settings import BASE_DIR, CLX_HOME
 
-PROJECT_DIR = CLX_HOME / "projects" / "docketbert"
+PROJECT_DIR = CLX_HOME / "experiments" / "docketbert"
 
 
 def prep_inference_data(path):
@@ -35,7 +35,7 @@ def load_eval_loss(model_name):
 )
 data["eval_loss"] = data["model"].apply(load_eval_loss)
 data = data.sort_values("eval_loss").reset_index(drop=True)
-readme_path = BASE_DIR.parent / "projects" / "docketbert" / "README.md"
+readme_path = BASE_DIR.parent / "experiments" / "docketbert" / "README.md"
 readme_template_path = readme_path.with_suffix(".template.md")
 template = readme_template_path.read_text()
 readme = template.format(results_table=data.to_markdown())
diff --git a/projects/docketbert/inference_test.py b/experiments/docketbert/inference_test.py
similarity index 98%
rename from projects/docketbert/inference_test.py
rename to experiments/docketbert/inference_test.py
index ff4fa0d..bbd497e 100644
--- a/projects/docketbert/inference_test.py
+++ b/experiments/docketbert/inference_test.py
@@ -13,7 +13,7 @@
 from clx import pd_save_or_append
 from clx.settings import CLX_HOME
 
-PROJECT_DIR = CLX_HOME / "projects" / "docketbert"
+PROJECT_DIR = CLX_HOME / "experiments" / "docketbert"
 
 
 def run():
diff --git a/projects/docketbert/prepare_train_data.py b/experiments/docketbert/prepare_train_data.py
similarity index 98%
rename from projects/docketbert/prepare_train_data.py
rename to experiments/docketbert/prepare_train_data.py
index daba9f2..4d17d44 100644
--- a/projects/docketbert/prepare_train_data.py
+++ b/experiments/docketbert/prepare_train_data.py
@@ -8,7 +8,7 @@
 from clx import pd_save_or_append
 from clx.settings import CLX_HOME
 
-PROJECT_DIR = CLX_HOME / "projects" / "docketbert"
+PROJECT_DIR = CLX_HOME / "experiments" / "docketbert"
 
 DB_CONFIG = {
     "host": os.getenv("DEV_DB_HOST"),
diff --git a/projects/docketbert/pull_runpod_logs.py b/experiments/docketbert/pull_runpod_logs.py
similarity index 85%
rename from projects/docketbert/pull_runpod_logs.py
rename to experiments/docketbert/pull_runpod_logs.py
index 3a65f60..a918e62 100644
--- a/projects/docketbert/pull_runpod_logs.py
+++ b/experiments/docketbert/pull_runpod_logs.py
@@ -9,8 +9,8 @@
 
 
 if __name__ == "__main__":
-    remote = f"root@{RUNPOD_POD_IP}:/workspace/clx/projects/docketbert/runs"
-    local = CLX_HOME / "projects" / "docketbert"
+    remote = f"root@{RUNPOD_POD_IP}:/workspace/clx/experiments/docketbert/runs"
+    local = CLX_HOME / "experiments" / "docketbert"
     include_patterns = [
         "config.json",
         "results.json",
diff --git a/projects/docketbert/train.py b/experiments/docketbert/train.py
similarity index 99%
rename from projects/docketbert/train.py
rename to experiments/docketbert/train.py
index 3036098..457b63b 100644
--- a/projects/docketbert/train.py
+++ b/experiments/docketbert/train.py
@@ -8,7 +8,7 @@
 from clx.ml import training_run
 from clx.settings import CLX_HOME
 
-PROJECT_DIR = CLX_HOME / "projects" / "docketbert"
+PROJECT_DIR = CLX_HOME / "experiments" / "docketbert"
 EXP_DATA_PATH = CLX_HOME / "app_projects" / "docket-entry" / "docs.csv"
 FULL_DATA_TRAIN_PATH = PROJECT_DIR / "data" / "train.csv"
 FULL_DATA_EVAL_PATH = PROJECT_DIR / "data" / "eval.csv"
diff --git a/projects/entry-citation/agent_examples.py b/experiments/entry-citation/agent_examples.py
similarity index 100%
rename from projects/entry-citation/agent_examples.py
rename to experiments/entry-citation/agent_examples.py
diff --git a/projects/entry-citation/generate_data.py b/experiments/entry-citation/generate_data.py
similarity index 100%
rename from projects/entry-citation/generate_data.py
rename to experiments/entry-citation/generate_data.py
diff --git a/projects/entry-citation/predict.py b/experiments/entry-citation/predict.py
similarity index 100%
rename from projects/entry-citation/predict.py
rename to experiments/entry-citation/predict.py
diff --git a/projects/entry-citation/span_annotator.py b/experiments/entry-citation/span_annotator.py
similarity index 100%
rename from projects/entry-citation/span_annotator.py
rename to experiments/entry-citation/span_annotator.py
diff --git a/projects/entry-citation/train.py b/experiments/entry-citation/train.py
similarity index 100%
rename from projects/entry-citation/train.py
rename to experiments/entry-citation/train.py
diff --git a/projects/entry-citation/utils.py b/experiments/entry-citation/utils.py
similarity index 98%
rename from projects/entry-citation/utils.py
rename to experiments/entry-citation/utils.py
index f86be47..1c95244 100644
--- a/projects/entry-citation/utils.py
+++ b/experiments/entry-citation/utils.py
@@ -8,7 +8,7 @@
 from clx import extract_attachments, pd_save_or_append
 from clx.settings import CLX_HOME
 
-PROJECT_DIR = CLX_HOME / "projects" / "entry_citation"
+PROJECT_DIR = CLX_HOME / "experiments" / "entry_citation"
 DATA_PATH = PROJECT_DIR / "data.csv"
 PREDS_PATH = PROJECT_DIR / "preds.csv"
 
diff --git a/home/.gitignore b/home/.gitignore
index 5e887aa..c96a04f 100644
--- a/home/.gitignore
+++ b/home/.gitignore
@@ -1,4 +1,2 @@
 *
-!projects
-!projects/**
 !.gitignore
\ No newline at end of file
diff --git a/home/projects/docketbert/.gitignore b/home/projects/docketbert/.gitignore
deleted file mode 100644
index de163fd..0000000
--- a/home/projects/docketbert/.gitignore
+++ /dev/null
@@ -1,6 +0,0 @@
-*
-!runs
-!runs/**
-!inference_test.csv
-!inference_test.cpu.csv
-!.gitignore
\ No newline at end of file
diff --git a/home/projects/docketbert/inference_test.cpu.csv b/home/projects/docketbert/inference_test.cpu.csv
deleted file mode 100644
index 5c8e36c..0000000
--- a/home/projects/docketbert/inference_test.cpu.csv
+++ /dev/null
@@ -1,23 +0,0 @@
-model,batch_size,duration
-docketbert-sliced-large-interleaved-10l-175M,32,52.033s
-docketbert-sliced-large-ft-interleaved-10l-175M,32,53.647s
-docketbert-sliced-large-ft-interleaved-8l-150M,32,52.307s
-docketbert-sliced-large-ft-interleaved-6l-126M,32,36.69s
-docketbert-sliced-large-ft-first-6l-126M,32,31.121s
-docketbert-sliced-large-interleaved-6l-126M,32,33.435s
-docketbert-sliced-large-first-6l-126M,32,32.831s
-docketbert-sliced-base-interleaved-4l-59M,32,12.987s
-docketbert-sliced-base-first-4l-59M,32,14.506s
-docketbert-distill-base-27M,32,16.835s
-docketbert-distill-base-41M,32,15.245s
-docketbert-base-150M,32,68.642s
-docketbert-large-395M,32,175.448s
-docketbert-scratch-16M,32,4.449s
-docketbert-scratch-41M,32,15.113s
-docketbert-scratch-7M,32,3.177s
-docketbert-large-(lr:2e-4)-395M,32,178.15s
-docketbert-scratch-27M,32,16.45s
-microsoft/deberta-v3-large,32,171.154s
-docketbert-distill-sliced-large-ft-interleaved-8l-150M,32,46.144s
-docketbert-distill-sliced-large-interleaved-10l-175M,32,53.75s
-docketbert-distill-sliced-large-ft-interleaved-10l-175M,32,54.568s
diff --git a/home/projects/docketbert/inference_test.csv b/home/projects/docketbert/inference_test.csv
deleted file mode 100644
index f0b823d..0000000
--- a/home/projects/docketbert/inference_test.csv
+++ /dev/null
@@ -1,221 +0,0 @@
-model,batch_size,duration
-docketbert-sliced-large-interleaved-10l-175M,8,140.077s
-docketbert-sliced-large-interleaved-10l-175M,16,81.0s
-docketbert-sliced-large-interleaved-10l-175M,32,53.161s
-docketbert-sliced-large-interleaved-10l-175M,64,44.777s
-docketbert-sliced-large-interleaved-10l-175M,128,43.083s
-docketbert-sliced-large-interleaved-10l-175M,256,45.106s
-docketbert-sliced-large-interleaved-10l-175M,512,47.592s
-docketbert-sliced-large-interleaved-10l-175M,1024,51.945s
-docketbert-sliced-large-interleaved-10l-175M,2048,51.91s
-docketbert-sliced-large-interleaved-10l-175M,4096,OOM
-docketbert-sliced-large-ft-interleaved-10l-175M,8,130.69s
-docketbert-sliced-large-ft-interleaved-10l-175M,16,76.445s
-docketbert-sliced-large-ft-interleaved-10l-175M,32,51.84s
-docketbert-sliced-large-ft-interleaved-10l-175M,64,41.818s
-docketbert-sliced-large-ft-interleaved-10l-175M,128,40.64s
-docketbert-sliced-large-ft-interleaved-10l-175M,256,42.312s
-docketbert-sliced-large-ft-interleaved-10l-175M,512,47.356s
-docketbert-sliced-large-ft-interleaved-10l-175M,1024,50.23s
-docketbert-sliced-large-ft-interleaved-10l-175M,2048,55.682s
-docketbert-sliced-large-ft-interleaved-10l-175M,4096,OOM
-docketbert-sliced-large-ft-interleaved-8l-150M,8,112.641s
-docketbert-sliced-large-ft-interleaved-8l-150M,16,65.169s
-docketbert-sliced-large-ft-interleaved-8l-150M,32,47.494s
-docketbert-sliced-large-ft-interleaved-8l-150M,64,41.049s
-docketbert-sliced-large-ft-interleaved-8l-150M,128,38.978s
-docketbert-sliced-large-ft-interleaved-8l-150M,256,41.723s
-docketbert-sliced-large-ft-interleaved-8l-150M,512,46.573s
-docketbert-sliced-large-ft-interleaved-8l-150M,1024,50.659s
-docketbert-sliced-large-ft-interleaved-8l-150M,2048,50.69s
-docketbert-sliced-large-ft-interleaved-8l-150M,4096,OOM
-docketbert-sliced-large-ft-interleaved-6l-126M,8,88.075s
-docketbert-sliced-large-ft-interleaved-6l-126M,16,55.674s
-docketbert-sliced-large-ft-interleaved-6l-126M,32,41.754s
-docketbert-sliced-large-ft-interleaved-6l-126M,64,37.338s
-docketbert-sliced-large-ft-interleaved-6l-126M,128,39.305s
-docketbert-sliced-large-ft-interleaved-6l-126M,256,42.269s
-docketbert-sliced-large-ft-interleaved-6l-126M,512,46.298s
-docketbert-sliced-large-ft-interleaved-6l-126M,1024,52.17s
-docketbert-sliced-large-ft-interleaved-6l-126M,2048,53.444s
-docketbert-sliced-large-ft-interleaved-6l-126M,4096,OOM
-docketbert-sliced-large-ft-first-6l-126M,8,90.176s
-docketbert-sliced-large-ft-first-6l-126M,16,56.305s
-docketbert-sliced-large-ft-first-6l-126M,32,41.212s
-docketbert-sliced-large-ft-first-6l-126M,64,38.148s
-docketbert-sliced-large-ft-first-6l-126M,128,37.472s
-docketbert-sliced-large-ft-first-6l-126M,256,43.784s
-docketbert-sliced-large-ft-first-6l-126M,512,46.08s
-docketbert-sliced-large-ft-first-6l-126M,1024,50.752s
-docketbert-sliced-large-ft-first-6l-126M,2048,51.213s
-docketbert-sliced-large-ft-first-6l-126M,4096,OOM
-docketbert-sliced-large-interleaved-6l-126M,8,88.119s
-docketbert-sliced-large-interleaved-6l-126M,16,56.706s
-docketbert-sliced-large-interleaved-6l-126M,32,42.578s
-docketbert-sliced-large-interleaved-6l-126M,64,37.022s
-docketbert-sliced-large-interleaved-6l-126M,128,40.048s
-docketbert-sliced-large-interleaved-6l-126M,256,41.838s
-docketbert-sliced-large-interleaved-6l-126M,512,46.79s
-docketbert-sliced-large-interleaved-6l-126M,1024,50.714s
-docketbert-sliced-large-interleaved-6l-126M,2048,51.87s
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-docketbert-sliced-base-interleaved-4l-59M,8,72.09s
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-docketbert-distill-base-27M,8,152.782s
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-docketbert-distill-base-41M,16,73.424s
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-docketbert-base-150M,8,258.503s
-docketbert-base-150M,16,144.539s
-docketbert-base-150M,32,82.985s
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-docketbert-base-150M,128,47.587s
-docketbert-base-150M,256,46.325s
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-docketbert-base-150M,1024,51.42s
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-docketbert-base-150M,4096,OOM
-docketbert-large-395M,8,319.784s
-docketbert-large-395M,16,170.081s
-docketbert-large-395M,32,106.237s
-docketbert-large-395M,64,90.402s
-docketbert-large-395M,128,84.824s
-docketbert-large-395M,256,82.2s
-docketbert-large-395M,512,81.054s
-docketbert-large-395M,1024,81.17s
-docketbert-large-395M,2048,81.575s
-docketbert-large-395M,4096,OOM
-docketbert-scratch-16M,8,92.552s
-docketbert-scratch-16M,16,58.53s
-docketbert-scratch-16M,32,41.0s
-docketbert-scratch-16M,64,36.296s
-docketbert-scratch-16M,128,37.69s
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-docketbert-scratch-41M,8,109.238s
-docketbert-scratch-41M,16,66.438s
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-docketbert-scratch-41M,64,38.953s
-docketbert-scratch-41M,128,39.462s
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-docketbert-scratch-7M,8,88.631s
-docketbert-scratch-7M,16,55.533s
-docketbert-scratch-7M,32,41.228s
-docketbert-scratch-7M,64,35.633s
-docketbert-scratch-7M,128,37.166s
-docketbert-scratch-7M,256,42.301s
-docketbert-scratch-7M,512,45.723s
-docketbert-scratch-7M,1024,48.47s
-docketbert-scratch-7M,2048,52.285s
-docketbert-scratch-7M,4096,52.104s
-docketbert-large-(lr:2e-4)-395M,8,310.993s
-docketbert-large-(lr:2e-4)-395M,16,167.638s
-docketbert-large-(lr:2e-4)-395M,32,106.363s
-docketbert-large-(lr:2e-4)-395M,64,89.945s
-docketbert-large-(lr:2e-4)-395M,128,84.908s
-docketbert-large-(lr:2e-4)-395M,256,82.052s
-docketbert-large-(lr:2e-4)-395M,512,81.078s
-docketbert-large-(lr:2e-4)-395M,1024,81.07s
-docketbert-large-(lr:2e-4)-395M,2048,81.705s
-docketbert-large-(lr:2e-4)-395M,4096,OOM
-docketbert-scratch-27M,8,146.703s
-docketbert-scratch-27M,16,86.094s
-docketbert-scratch-27M,32,61.349s
-docketbert-scratch-27M,64,44.031s
-docketbert-scratch-27M,128,42.565s
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-docketbert-scratch-27M,512,48.855s
-docketbert-scratch-27M,1024,50.311s
-docketbert-scratch-27M,2048,53.157s
-docketbert-scratch-27M,4096,53.231s
-microsoft/deberta-v3-large,8,481.898s
-microsoft/deberta-v3-large,16,531.955s
-microsoft/deberta-v3-large,32,702.286s
-microsoft/deberta-v3-large,64,993.588s
-microsoft/deberta-v3-large,128,OOM
-microsoft/deberta-v3-large,256,OOM
-microsoft/deberta-v3-large,512,OOM
-microsoft/deberta-v3-large,1024,OOM
-microsoft/deberta-v3-large,2048,OOM
-microsoft/deberta-v3-large,4096,OOM
-docketbert-distill-sliced-large-ft-interleaved-8l-150M,8,117.863s
-docketbert-distill-sliced-large-ft-interleaved-8l-150M,16,73.515s
-docketbert-distill-sliced-large-ft-interleaved-8l-150M,32,54.632s
-docketbert-distill-sliced-large-ft-interleaved-8l-150M,64,40.757s
-docketbert-distill-sliced-large-ft-interleaved-8l-150M,128,39.848s
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-docketbert-distill-sliced-large-ft-interleaved-8l-150M,2048,54.87s
-docketbert-distill-sliced-large-ft-interleaved-8l-150M,4096,OOM
-docketbert-distill-sliced-large-interleaved-10l-175M,8,128.38s
-docketbert-distill-sliced-large-interleaved-10l-175M,16,72.514s
-docketbert-distill-sliced-large-interleaved-10l-175M,32,48.724s
-docketbert-distill-sliced-large-interleaved-10l-175M,64,42.249s
-docketbert-distill-sliced-large-interleaved-10l-175M,128,38.882s
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-docketbert-distill-sliced-large-interleaved-10l-175M,2048,49.792s
-docketbert-distill-sliced-large-interleaved-10l-175M,4096,OOM
-docketbert-distill-sliced-large-ft-interleaved-10l-175M,8,126.373s
-docketbert-distill-sliced-large-ft-interleaved-10l-175M,16,71.515s
-docketbert-distill-sliced-large-ft-interleaved-10l-175M,32,47.627s
-docketbert-distill-sliced-large-ft-interleaved-10l-175M,64,39.302s
-docketbert-distill-sliced-large-ft-interleaved-10l-175M,128,38.226s
-docketbert-distill-sliced-large-ft-interleaved-10l-175M,256,40.573s
-docketbert-distill-sliced-large-ft-interleaved-10l-175M,512,44.508s
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-docketbert-distill-sliced-large-ft-interleaved-10l-175M,2048,49.41s
-docketbert-distill-sliced-large-ft-interleaved-10l-175M,4096,OOM
diff --git a/home/projects/docketbert/runs/.gitignore b/home/projects/docketbert/runs/.gitignore
deleted file mode 100644
index b1bbe43..0000000
--- a/home/projects/docketbert/runs/.gitignore
+++ /dev/null
@@ -1,5 +0,0 @@
-.*
-*/*
-!*/checkpoints
-!*/config.json
-!.gitignore
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-base-150M/checkpoints/logs/events.out.tfevents.1764519915.dbf36405d9c9.787.0 b/home/projects/docketbert/runs/docketbert-base-150M/checkpoints/logs/events.out.tfevents.1764519915.dbf36405d9c9.787.0
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diff --git a/home/projects/docketbert/runs/docketbert-base-150M/checkpoints/logs/events.out.tfevents.1764563144.dbf36405d9c9.787.1 b/home/projects/docketbert/runs/docketbert-base-150M/checkpoints/logs/events.out.tfevents.1764563144.dbf36405d9c9.787.1
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diff --git a/home/projects/docketbert/runs/docketbert-base-150M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-base-150M/checkpoints/results.json
deleted file mode 100644
index 109bdbc..0000000
--- a/home/projects/docketbert/runs/docketbert-base-150M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 0.8149945139884949,
-    "eval_runtime": 285.4965,
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-    "eval_steps_per_second": 21.892,
-    "epoch": 1.0,
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-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-base-150M/config.json b/home/projects/docketbert/runs/docketbert-base-150M/config.json
deleted file mode 100644
index 8d3e161..0000000
--- a/home/projects/docketbert/runs/docketbert-base-150M/config.json
+++ /dev/null
@@ -1,31 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-base-150M",
-    "run_dir_parent": "/workspace/clx/home/runs",
-    "base_model_name": "answerdotai/ModernBERT-base",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {},
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 16,
-        "per_device_eval_batch_size": 16,
-        "gradient_accumulation_steps": 16
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-distill-base-27M/checkpoints/logs/events.out.tfevents.1764697546.c6591814cc48.977.0 b/home/projects/docketbert/runs/docketbert-distill-base-27M/checkpoints/logs/events.out.tfevents.1764697546.c6591814cc48.977.0
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diff --git a/home/projects/docketbert/runs/docketbert-distill-base-27M/checkpoints/logs/events.out.tfevents.1764772379.c6591814cc48.977.1 b/home/projects/docketbert/runs/docketbert-distill-base-27M/checkpoints/logs/events.out.tfevents.1764772379.c6591814cc48.977.1
deleted file mode 100644
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diff --git a/home/projects/docketbert/runs/docketbert-distill-base-27M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-distill-base-27M/checkpoints/results.json
deleted file mode 100644
index 7fdef70..0000000
--- a/home/projects/docketbert/runs/docketbert-distill-base-27M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 1.1866148710250854,
-    "eval_runtime": 315.8782,
-    "eval_samples_per_second": 316.578,
-    "eval_steps_per_second": 39.572,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-distill-base-27M/config.json b/home/projects/docketbert/runs/docketbert-distill-base-27M/config.json
deleted file mode 100644
index b0ac830..0000000
--- a/home/projects/docketbert/runs/docketbert-distill-base-27M/config.json
+++ /dev/null
@@ -1,46 +0,0 @@
-{
-    "task": "distill-mlm",
-    "run_name": "docketbert-distill-base-27M",
-    "run_dir_parent": "/workspace/clx/home/runs",
-    "base_model_name": "answerdotai/ModernBERT-base",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {
-        "config": {
-            "hidden_size": 320,
-            "num_hidden_layers": 12,
-            "num_attention_heads": 8,
-            "intermediate_size": 480,
-            "global_attn_every_n_layers": 2
-        }
-    },
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 8,
-        "per_device_eval_batch_size": 8,
-        "gradient_accumulation_steps": 32
-    },
-    "mlm_probability": 0.3,
-    "teacher_model_name": "/workspace/clx/home/runs/docketbert-base-150M/model",
-    "teacher_model_args": {
-        "dtype": "bfloat16"
-    },
-    "distill_temperature": 2.0,
-    "distill_alpha_ce": 0.5,
-    "distill_alpha_kl": 0.5
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-distill-base-41M/checkpoints/logs/events.out.tfevents.1764697442.2c5a809a18c6.103737.0 b/home/projects/docketbert/runs/docketbert-distill-base-41M/checkpoints/logs/events.out.tfevents.1764697442.2c5a809a18c6.103737.0
deleted file mode 100644
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diff --git a/home/projects/docketbert/runs/docketbert-distill-base-41M/checkpoints/logs/events.out.tfevents.1764771286.2c5a809a18c6.103737.1 b/home/projects/docketbert/runs/docketbert-distill-base-41M/checkpoints/logs/events.out.tfevents.1764771286.2c5a809a18c6.103737.1
deleted file mode 100644
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diff --git a/home/projects/docketbert/runs/docketbert-distill-base-41M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-distill-base-41M/checkpoints/results.json
deleted file mode 100644
index f27c15e..0000000
--- a/home/projects/docketbert/runs/docketbert-distill-base-41M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 1.1108235120773315,
-    "eval_runtime": 310.709,
-    "eval_samples_per_second": 321.845,
-    "eval_steps_per_second": 40.231,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-distill-base-41M/config.json b/home/projects/docketbert/runs/docketbert-distill-base-41M/config.json
deleted file mode 100644
index 3c7cac6..0000000
--- a/home/projects/docketbert/runs/docketbert-distill-base-41M/config.json
+++ /dev/null
@@ -1,46 +0,0 @@
-{
-    "task": "distill-mlm",
-    "run_name": "docketbert-distill-base-41M",
-    "run_dir_parent": "/workspace/clx/home/runs",
-    "base_model_name": "answerdotai/ModernBERT-base",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {
-        "config": {
-            "hidden_size": 512,
-            "num_hidden_layers": 8,
-            "num_attention_heads": 8,
-            "intermediate_size": 512,
-            "global_attn_every_n_layers": 2
-        }
-    },
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 8,
-        "per_device_eval_batch_size": 8,
-        "gradient_accumulation_steps": 32
-    },
-    "mlm_probability": 0.3,
-    "teacher_model_name": "/workspace/clx/home/runs/docketbert-base-150M/model",
-    "teacher_model_args": {
-        "dtype": "bfloat16"
-    },
-    "distill_temperature": 2.0,
-    "distill_alpha_ce": 0.5,
-    "distill_alpha_kl": 0.5
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-10l-175M/checkpoints/logs/events.out.tfevents.1764738471.057fd77bdd6a.1582.0 b/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-10l-175M/checkpoints/logs/events.out.tfevents.1764738471.057fd77bdd6a.1582.0
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diff --git a/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-10l-175M/checkpoints/logs/events.out.tfevents.1764824944.f1efdd96c1ea.745.1 b/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-10l-175M/checkpoints/logs/events.out.tfevents.1764824944.f1efdd96c1ea.745.1
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diff --git a/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-10l-175M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-10l-175M/checkpoints/results.json
deleted file mode 100644
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+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 0.7979918122291565,
-    "eval_runtime": 275.5343,
-    "eval_samples_per_second": 362.931,
-    "eval_steps_per_second": 45.366,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-10l-175M/config.json b/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-10l-175M/config.json
deleted file mode 100644
index 6085007..0000000
--- a/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-10l-175M/config.json
+++ /dev/null
@@ -1,38 +0,0 @@
-{
-    "task": "distill-mlm",
-    "run_name": "docketbert-distill-sliced-large-ft-interleaved-10l-175M",
-    "run_dir_parent": "/workspace/clx/home/projects/docketbert/runs",
-    "base_model_name": "/workspace/clx/home/projects/docketbert/models/sliced-large-ft-interleaved-10l",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {},
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 8,
-        "per_device_eval_batch_size": 8,
-        "gradient_accumulation_steps": 32
-    },
-    "mlm_probability": 0.3,
-    "teacher_model_name": "/workspace/clx/home/projects/docketbert/runs/docketbert-large-395M/model",
-    "teacher_model_args": {
-        "dtype": "bfloat16"
-    },
-    "distill_temperature": 2.0,
-    "distill_alpha_ce": 0.9,
-    "distill_alpha_kl": 0.1
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-8l-150M/checkpoints/logs/events.out.tfevents.1764727932.c8703db27d8d.792.0 b/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-8l-150M/checkpoints/logs/events.out.tfevents.1764727932.c8703db27d8d.792.0
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diff --git a/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-8l-150M/checkpoints/logs/events.out.tfevents.1764805764.c8703db27d8d.792.1 b/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-8l-150M/checkpoints/logs/events.out.tfevents.1764805764.c8703db27d8d.792.1
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diff --git a/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-8l-150M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-8l-150M/checkpoints/results.json
deleted file mode 100644
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--- a/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-8l-150M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 0.8422173261642456,
-    "eval_runtime": 337.0817,
-    "eval_samples_per_second": 296.664,
-    "eval_steps_per_second": 37.083,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-8l-150M/config.json b/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-8l-150M/config.json
deleted file mode 100644
index 8862041..0000000
--- a/home/projects/docketbert/runs/docketbert-distill-sliced-large-ft-interleaved-8l-150M/config.json
+++ /dev/null
@@ -1,38 +0,0 @@
-{
-    "task": "distill-mlm",
-    "run_name": "docketbert-distill-sliced-large-ft-interleaved-8l-150M",
-    "run_dir_parent": "/workspace/clx/home/runs",
-    "base_model_name": "/workspace/clx/home/models/sliced-large-ft-interleaved-8l",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {},
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 8,
-        "per_device_eval_batch_size": 8,
-        "gradient_accumulation_steps": 32
-    },
-    "mlm_probability": 0.3,
-    "teacher_model_name": "/workspace/clx/home/runs/docketbert-large-395M/model",
-    "teacher_model_args": {
-        "dtype": "bfloat16"
-    },
-    "distill_temperature": 2.0,
-    "distill_alpha_ce": 0.96,
-    "distill_alpha_kl": 0.04
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-distill-sliced-large-interleaved-10l-175M/checkpoints/logs/events.out.tfevents.1764738509.9cc93194068a.903.0 b/home/projects/docketbert/runs/docketbert-distill-sliced-large-interleaved-10l-175M/checkpoints/logs/events.out.tfevents.1764738509.9cc93194068a.903.0
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diff --git a/home/projects/docketbert/runs/docketbert-distill-sliced-large-interleaved-10l-175M/checkpoints/logs/events.out.tfevents.1764809766.f242556bb3bc.1431.0 b/home/projects/docketbert/runs/docketbert-distill-sliced-large-interleaved-10l-175M/checkpoints/logs/events.out.tfevents.1764809766.f242556bb3bc.1431.0
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diff --git a/home/projects/docketbert/runs/docketbert-distill-sliced-large-interleaved-10l-175M/checkpoints/logs/events.out.tfevents.1764825276.f242556bb3bc.1431.1 b/home/projects/docketbert/runs/docketbert-distill-sliced-large-interleaved-10l-175M/checkpoints/logs/events.out.tfevents.1764825276.f242556bb3bc.1431.1
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diff --git a/home/projects/docketbert/runs/docketbert-distill-sliced-large-interleaved-10l-175M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-distill-sliced-large-interleaved-10l-175M/checkpoints/results.json
deleted file mode 100644
index ca2ba02..0000000
--- a/home/projects/docketbert/runs/docketbert-distill-sliced-large-interleaved-10l-175M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 0.8694779872894287,
-    "eval_runtime": 320.1631,
-    "eval_samples_per_second": 312.341,
-    "eval_steps_per_second": 39.043,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-distill-sliced-large-interleaved-10l-175M/config.json b/home/projects/docketbert/runs/docketbert-distill-sliced-large-interleaved-10l-175M/config.json
deleted file mode 100644
index 44f712c..0000000
--- a/home/projects/docketbert/runs/docketbert-distill-sliced-large-interleaved-10l-175M/config.json
+++ /dev/null
@@ -1,38 +0,0 @@
-{
-    "task": "distill-mlm",
-    "run_name": "docketbert-distill-sliced-large-interleaved-10l-175M",
-    "run_dir_parent": "/workspace/clx/home/projects/docketbert/runs",
-    "base_model_name": "/workspace/clx/home/projects/docketbert/models/sliced-large-interleaved-10l",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {},
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 8,
-        "per_device_eval_batch_size": 8,
-        "gradient_accumulation_steps": 32
-    },
-    "mlm_probability": 0.3,
-    "teacher_model_name": "answerdotai/ModernBERT-large",
-    "teacher_model_args": {
-        "dtype": "bfloat16"
-    },
-    "distill_temperature": 2.0,
-    "distill_alpha_ce": 0.9,
-    "distill_alpha_kl": 0.1
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-final-base-150M/checkpoints/logs/events.out.tfevents.1768913437.03e65754f863.1970.0 b/home/projects/docketbert/runs/docketbert-final-base-150M/checkpoints/logs/events.out.tfevents.1768913437.03e65754f863.1970.0
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deleted file mode 100644
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diff --git a/home/projects/docketbert/runs/docketbert-final-base-150M/checkpoints/logs/events.out.tfevents.1769232146.155c43b26417.3265.1 b/home/projects/docketbert/runs/docketbert-final-base-150M/checkpoints/logs/events.out.tfevents.1769232146.155c43b26417.3265.1
deleted file mode 100644
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diff --git a/home/projects/docketbert/runs/docketbert-final-base-150M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-final-base-150M/checkpoints/results.json
deleted file mode 100644
index df67ed2..0000000
--- a/home/projects/docketbert/runs/docketbert-final-base-150M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 0.6133178472518921,
-    "eval_runtime": 271.4927,
-    "eval_samples_per_second": 368.334,
-    "eval_steps_per_second": 23.021,
-    "epoch": 1.0,
-    "num_train_examples": 40761590,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-final-base-150M/config.json b/home/projects/docketbert/runs/docketbert-final-base-150M/config.json
deleted file mode 100644
index 3e17cbe..0000000
--- a/home/projects/docketbert/runs/docketbert-final-base-150M/config.json
+++ /dev/null
@@ -1,32 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-final-base-150M",
-    "run_dir_parent": "/workspace/clx/projects/docketbert/runs",
-    "base_model_name": "answerdotai/ModernBERT-base",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {},
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "max_steps": 159224,
-        "per_device_train_batch_size": 16,
-        "per_device_eval_batch_size": 16,
-        "gradient_accumulation_steps": 16
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-final-large-395M/checkpoints/logs/events.out.tfevents.1768913464.c3c16d89609e.1542.0 b/home/projects/docketbert/runs/docketbert-final-large-395M/checkpoints/logs/events.out.tfevents.1768913464.c3c16d89609e.1542.0
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diff --git a/home/projects/docketbert/runs/docketbert-final-large-395M/checkpoints/logs/events.out.tfevents.1769091611.90d7d00a7e03.1540.0 b/home/projects/docketbert/runs/docketbert-final-large-395M/checkpoints/logs/events.out.tfevents.1769091611.90d7d00a7e03.1540.0
deleted file mode 100644
index 708d493..0000000
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diff --git a/home/projects/docketbert/runs/docketbert-final-large-395M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-final-large-395M/checkpoints/results.json
deleted file mode 100644
index 45abc75..0000000
--- a/home/projects/docketbert/runs/docketbert-final-large-395M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 0.5528995990753174,
-    "eval_runtime": 541.8924,
-    "eval_samples_per_second": 184.538,
-    "eval_steps_per_second": 23.067,
-    "epoch": 1.0,
-    "num_train_examples": 40761590,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-final-large-395M/config.json b/home/projects/docketbert/runs/docketbert-final-large-395M/config.json
deleted file mode 100644
index 976be56..0000000
--- a/home/projects/docketbert/runs/docketbert-final-large-395M/config.json
+++ /dev/null
@@ -1,32 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-final-large-395M",
-    "run_dir_parent": "/workspace/clx/projects/docketbert/runs",
-    "base_model_name": "answerdotai/ModernBERT-large",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {},
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "max_steps": 159224,
-        "per_device_train_batch_size": 8,
-        "per_device_eval_batch_size": 8,
-        "gradient_accumulation_steps": 32
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-final-sliced-175M/checkpoints/logs/events.out.tfevents.1770755421.df02e7f16835.4837.0 b/home/projects/docketbert/runs/docketbert-final-sliced-175M/checkpoints/logs/events.out.tfevents.1770755421.df02e7f16835.4837.0
deleted file mode 100644
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diff --git a/home/projects/docketbert/runs/docketbert-final-sliced-175M/config.json b/home/projects/docketbert/runs/docketbert-final-sliced-175M/config.json
deleted file mode 100644
index fb5a7b0..0000000
--- a/home/projects/docketbert/runs/docketbert-final-sliced-175M/config.json
+++ /dev/null
@@ -1,32 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-final-sliced-175M",
-    "run_dir_parent": "/workspace/clx/projects/docketbert/runs",
-    "base_model_name": "/workspace/clx/projects/docketbert/models/final-sliced-large-ft-interleaved-10l",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {},
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "max_steps": 159224,
-        "per_device_train_batch_size": 32,
-        "per_device_eval_batch_size": 32,
-        "gradient_accumulation_steps": 8
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-large-(lr:2e-4)-395M/checkpoints/logs/events.out.tfevents.1764521254.522c726d5063.845.0 b/home/projects/docketbert/runs/docketbert-large-(lr:2e-4)-395M/checkpoints/logs/events.out.tfevents.1764521254.522c726d5063.845.0
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diff --git a/home/projects/docketbert/runs/docketbert-large-(lr:2e-4)-395M/checkpoints/logs/events.out.tfevents.1764611782.522c726d5063.845.1 b/home/projects/docketbert/runs/docketbert-large-(lr:2e-4)-395M/checkpoints/logs/events.out.tfevents.1764611782.522c726d5063.845.1
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diff --git a/home/projects/docketbert/runs/docketbert-large-(lr:2e-4)-395M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-large-(lr:2e-4)-395M/checkpoints/results.json
deleted file mode 100644
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--- a/home/projects/docketbert/runs/docketbert-large-(lr:2e-4)-395M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 0.7517951726913452,
-    "eval_runtime": 526.8345,
-    "eval_samples_per_second": 189.813,
-    "eval_steps_per_second": 23.727,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-large-(lr:2e-4)-395M/config.json b/home/projects/docketbert/runs/docketbert-large-(lr:2e-4)-395M/config.json
deleted file mode 100644
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--- a/home/projects/docketbert/runs/docketbert-large-(lr:2e-4)-395M/config.json
+++ /dev/null
@@ -1,31 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-large-(lr:2e-4)-395M",
-    "run_dir_parent": "/workspace/clx/home/runs",
-    "base_model_name": "answerdotai/ModernBERT-large",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {},
-    "training_args": {
-        "learning_rate": 0.0002,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 8,
-        "per_device_eval_batch_size": 8,
-        "gradient_accumulation_steps": 32
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-large-395M/checkpoints/logs/events.out.tfevents.1764519412.3d1e72e9b473.1321.0 b/home/projects/docketbert/runs/docketbert-large-395M/checkpoints/logs/events.out.tfevents.1764519412.3d1e72e9b473.1321.0
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diff --git a/home/projects/docketbert/runs/docketbert-large-395M/checkpoints/logs/events.out.tfevents.1764611987.3d1e72e9b473.1321.1 b/home/projects/docketbert/runs/docketbert-large-395M/checkpoints/logs/events.out.tfevents.1764611987.3d1e72e9b473.1321.1
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diff --git a/home/projects/docketbert/runs/docketbert-large-395M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-large-395M/checkpoints/results.json
deleted file mode 100644
index e186128..0000000
--- a/home/projects/docketbert/runs/docketbert-large-395M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 0.7356346249580383,
-    "eval_runtime": 596.0401,
-    "eval_samples_per_second": 167.774,
-    "eval_steps_per_second": 20.972,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-large-395M/config.json b/home/projects/docketbert/runs/docketbert-large-395M/config.json
deleted file mode 100644
index 641b8a5..0000000
--- a/home/projects/docketbert/runs/docketbert-large-395M/config.json
+++ /dev/null
@@ -1,31 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-large-395M",
-    "run_dir_parent": "/workspace/clx/home/runs",
-    "base_model_name": "answerdotai/ModernBERT-large",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {},
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 8,
-        "per_device_eval_batch_size": 8,
-        "gradient_accumulation_steps": 32
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-scratch-16M/checkpoints/logs/events.out.tfevents.1764428418.af2e156eed01.1068.0 b/home/projects/docketbert/runs/docketbert-scratch-16M/checkpoints/logs/events.out.tfevents.1764428418.af2e156eed01.1068.0
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diff --git a/home/projects/docketbert/runs/docketbert-scratch-16M/checkpoints/logs/events.out.tfevents.1764443645.af2e156eed01.1068.1 b/home/projects/docketbert/runs/docketbert-scratch-16M/checkpoints/logs/events.out.tfevents.1764443645.af2e156eed01.1068.1
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diff --git a/home/projects/docketbert/runs/docketbert-scratch-16M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-scratch-16M/checkpoints/results.json
deleted file mode 100644
index c646a2e..0000000
--- a/home/projects/docketbert/runs/docketbert-scratch-16M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 1.375404715538025,
-    "eval_runtime": 127.7859,
-    "eval_samples_per_second": 782.559,
-    "eval_steps_per_second": 24.455,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-scratch-16M/config.json b/home/projects/docketbert/runs/docketbert-scratch-16M/config.json
deleted file mode 100644
index dce39fa..0000000
--- a/home/projects/docketbert/runs/docketbert-scratch-16M/config.json
+++ /dev/null
@@ -1,39 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-scratch-16M",
-    "run_dir_parent": "/workspace/clx/home/runs",
-    "base_model_name": "answerdotai/ModernBERT-base",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {
-        "config": {
-            "hidden_size": 256,
-            "num_hidden_layers": 6,
-            "num_attention_heads": 4,
-            "intermediate_size": 384,
-            "global_attn_every_n_layers": 2
-        }
-    },
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 32,
-        "per_device_eval_batch_size": 32,
-        "gradient_accumulation_steps": 8
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-scratch-27M/checkpoints/logs/events.out.tfevents.1764428179.29d93e7c4955.422.0 b/home/projects/docketbert/runs/docketbert-scratch-27M/checkpoints/logs/events.out.tfevents.1764428179.29d93e7c4955.422.0
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diff --git a/home/projects/docketbert/runs/docketbert-scratch-27M/checkpoints/logs/events.out.tfevents.1764446818.29d93e7c4955.422.1 b/home/projects/docketbert/runs/docketbert-scratch-27M/checkpoints/logs/events.out.tfevents.1764446818.29d93e7c4955.422.1
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diff --git a/home/projects/docketbert/runs/docketbert-scratch-27M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-scratch-27M/checkpoints/results.json
deleted file mode 100644
index d785285..0000000
--- a/home/projects/docketbert/runs/docketbert-scratch-27M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 1.192372441291809,
-    "eval_runtime": 137.5354,
-    "eval_samples_per_second": 727.086,
-    "eval_steps_per_second": 22.721,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-scratch-27M/config.json b/home/projects/docketbert/runs/docketbert-scratch-27M/config.json
deleted file mode 100644
index f8af275..0000000
--- a/home/projects/docketbert/runs/docketbert-scratch-27M/config.json
+++ /dev/null
@@ -1,39 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-scratch-27M",
-    "run_dir_parent": "/workspace/clx/home/runs",
-    "base_model_name": "answerdotai/ModernBERT-base",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {
-        "config": {
-            "hidden_size": 320,
-            "num_hidden_layers": 12,
-            "num_attention_heads": 8,
-            "intermediate_size": 480,
-            "global_attn_every_n_layers": 2
-        }
-    },
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 32,
-        "per_device_eval_batch_size": 32,
-        "gradient_accumulation_steps": 8
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-scratch-41M/checkpoints/logs/events.out.tfevents.1764428201.8a9946de3ecd.471.0 b/home/projects/docketbert/runs/docketbert-scratch-41M/checkpoints/logs/events.out.tfevents.1764428201.8a9946de3ecd.471.0
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diff --git a/home/projects/docketbert/runs/docketbert-scratch-41M/checkpoints/logs/events.out.tfevents.1764712481.0a38a2102682.810.1 b/home/projects/docketbert/runs/docketbert-scratch-41M/checkpoints/logs/events.out.tfevents.1764712481.0a38a2102682.810.1
deleted file mode 100644
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diff --git a/home/projects/docketbert/runs/docketbert-scratch-41M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-scratch-41M/checkpoints/results.json
deleted file mode 100644
index d699173..0000000
--- a/home/projects/docketbert/runs/docketbert-scratch-41M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 1.135402798652649,
-    "eval_runtime": 112.2782,
-    "eval_samples_per_second": 890.645,
-    "eval_steps_per_second": 27.833,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-scratch-41M/config.json b/home/projects/docketbert/runs/docketbert-scratch-41M/config.json
deleted file mode 100644
index 107c4e1..0000000
--- a/home/projects/docketbert/runs/docketbert-scratch-41M/config.json
+++ /dev/null
@@ -1,39 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-scratch-41M",
-    "run_dir_parent": "/workspace/clx/home/runs",
-    "base_model_name": "answerdotai/ModernBERT-base",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {
-        "config": {
-            "hidden_size": 512,
-            "num_hidden_layers": 8,
-            "num_attention_heads": 8,
-            "intermediate_size": 512,
-            "global_attn_every_n_layers": 2
-        }
-    },
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 32,
-        "per_device_eval_batch_size": 32,
-        "gradient_accumulation_steps": 8
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-scratch-7M/checkpoints/logs/events.out.tfevents.1764427916.c21e90584d9c.3104.0 b/home/projects/docketbert/runs/docketbert-scratch-7M/checkpoints/logs/events.out.tfevents.1764427916.c21e90584d9c.3104.0
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diff --git a/home/projects/docketbert/runs/docketbert-scratch-7M/checkpoints/logs/events.out.tfevents.1768838378.a1e1309953bb.1410.0 b/home/projects/docketbert/runs/docketbert-scratch-7M/checkpoints/logs/events.out.tfevents.1768838378.a1e1309953bb.1410.0
deleted file mode 100644
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diff --git a/home/projects/docketbert/runs/docketbert-scratch-7M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-scratch-7M/checkpoints/results.json
deleted file mode 100644
index 271c696..0000000
--- a/home/projects/docketbert/runs/docketbert-scratch-7M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 1.7377508878707886,
-    "eval_runtime": 102.0431,
-    "eval_samples_per_second": 979.978,
-    "eval_steps_per_second": 30.624,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-scratch-7M/config.json b/home/projects/docketbert/runs/docketbert-scratch-7M/config.json
deleted file mode 100644
index efa4ee9..0000000
--- a/home/projects/docketbert/runs/docketbert-scratch-7M/config.json
+++ /dev/null
@@ -1,39 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-scratch-7M",
-    "run_dir_parent": "/workspace/clx/projects/docketbert/runs",
-    "base_model_name": "answerdotai/ModernBERT-base",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {
-        "config": {
-            "hidden_size": 128,
-            "num_hidden_layers": 6,
-            "num_attention_heads": 4,
-            "intermediate_size": 128,
-            "global_attn_every_n_layers": 2
-        }
-    },
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 32,
-        "per_device_eval_batch_size": 32,
-        "gradient_accumulation_steps": 8
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-sliced-base-first-4l-59M/checkpoints/logs/events.out.tfevents.1764709877.a81ec710331f.1570.0 b/home/projects/docketbert/runs/docketbert-sliced-base-first-4l-59M/checkpoints/logs/events.out.tfevents.1764709877.a81ec710331f.1570.0
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diff --git a/home/projects/docketbert/runs/docketbert-sliced-base-first-4l-59M/checkpoints/logs/events.out.tfevents.1764724825.a81ec710331f.1570.1 b/home/projects/docketbert/runs/docketbert-sliced-base-first-4l-59M/checkpoints/logs/events.out.tfevents.1764724825.a81ec710331f.1570.1
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diff --git a/home/projects/docketbert/runs/docketbert-sliced-base-first-4l-59M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-sliced-base-first-4l-59M/checkpoints/results.json
deleted file mode 100644
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--- a/home/projects/docketbert/runs/docketbert-sliced-base-first-4l-59M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 1.1409839391708374,
-    "eval_runtime": 100.4821,
-    "eval_samples_per_second": 995.203,
-    "eval_steps_per_second": 31.1,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-sliced-base-first-4l-59M/config.json b/home/projects/docketbert/runs/docketbert-sliced-base-first-4l-59M/config.json
deleted file mode 100644
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--- a/home/projects/docketbert/runs/docketbert-sliced-base-first-4l-59M/config.json
+++ /dev/null
@@ -1,31 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-sliced-base-first-4l-59M",
-    "run_dir_parent": "/workspace/clx/home/runs",
-    "base_model_name": "/workspace/clx/home/models/modernbert-first-4",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {},
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 32,
-        "per_device_eval_batch_size": 32,
-        "gradient_accumulation_steps": 8
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-sliced-base-interleaved-4l-59M/checkpoints/logs/events.out.tfevents.1764710031.49ba2bb7e22b.500.0 b/home/projects/docketbert/runs/docketbert-sliced-base-interleaved-4l-59M/checkpoints/logs/events.out.tfevents.1764710031.49ba2bb7e22b.500.0
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diff --git a/home/projects/docketbert/runs/docketbert-sliced-base-interleaved-4l-59M/checkpoints/logs/events.out.tfevents.1764725495.49ba2bb7e22b.500.1 b/home/projects/docketbert/runs/docketbert-sliced-base-interleaved-4l-59M/checkpoints/logs/events.out.tfevents.1764725495.49ba2bb7e22b.500.1
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diff --git a/home/projects/docketbert/runs/docketbert-sliced-base-interleaved-4l-59M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-sliced-base-interleaved-4l-59M/checkpoints/results.json
deleted file mode 100644
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--- a/home/projects/docketbert/runs/docketbert-sliced-base-interleaved-4l-59M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 1.1405861377716064,
-    "eval_runtime": 121.2377,
-    "eval_samples_per_second": 824.826,
-    "eval_steps_per_second": 25.776,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-sliced-base-interleaved-4l-59M/config.json b/home/projects/docketbert/runs/docketbert-sliced-base-interleaved-4l-59M/config.json
deleted file mode 100644
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--- a/home/projects/docketbert/runs/docketbert-sliced-base-interleaved-4l-59M/config.json
+++ /dev/null
@@ -1,31 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-sliced-base-interleaved-4l-59M",
-    "run_dir_parent": "/workspace/clx/home/runs",
-    "base_model_name": "/workspace/clx/home/models/modernbert-interleaved-4",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {},
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 32,
-        "per_device_eval_batch_size": 32,
-        "gradient_accumulation_steps": 8
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-first-6l-126M/checkpoints/logs/events.out.tfevents.1764713944.56f5c1f50c31.1819.0 b/home/projects/docketbert/runs/docketbert-sliced-large-first-6l-126M/checkpoints/logs/events.out.tfevents.1764713944.56f5c1f50c31.1819.0
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diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-first-6l-126M/checkpoints/logs/events.out.tfevents.1764731530.56f5c1f50c31.1819.1 b/home/projects/docketbert/runs/docketbert-sliced-large-first-6l-126M/checkpoints/logs/events.out.tfevents.1764731530.56f5c1f50c31.1819.1
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diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-first-6l-126M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-sliced-large-first-6l-126M/checkpoints/results.json
deleted file mode 100644
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--- a/home/projects/docketbert/runs/docketbert-sliced-large-first-6l-126M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 0.9456635117530823,
-    "eval_runtime": 129.9538,
-    "eval_samples_per_second": 769.504,
-    "eval_steps_per_second": 24.047,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-first-6l-126M/config.json b/home/projects/docketbert/runs/docketbert-sliced-large-first-6l-126M/config.json
deleted file mode 100644
index 8628018..0000000
--- a/home/projects/docketbert/runs/docketbert-sliced-large-first-6l-126M/config.json
+++ /dev/null
@@ -1,31 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-sliced-large-first-6l-126M",
-    "run_dir_parent": "/workspace/clx/home/runs",
-    "base_model_name": "/workspace/clx/home/models/sliced-large-first-6l",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {},
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 32,
-        "per_device_eval_batch_size": 32,
-        "gradient_accumulation_steps": 8
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-ft-first-6l-126M/checkpoints/logs/events.out.tfevents.1764714089.ff834d8a9b30.424.0 b/home/projects/docketbert/runs/docketbert-sliced-large-ft-first-6l-126M/checkpoints/logs/events.out.tfevents.1764714089.ff834d8a9b30.424.0
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diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-ft-first-6l-126M/checkpoints/logs/events.out.tfevents.1764732750.ff834d8a9b30.424.1 b/home/projects/docketbert/runs/docketbert-sliced-large-ft-first-6l-126M/checkpoints/logs/events.out.tfevents.1764732750.ff834d8a9b30.424.1
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diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-ft-first-6l-126M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-sliced-large-ft-first-6l-126M/checkpoints/results.json
deleted file mode 100644
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--- a/home/projects/docketbert/runs/docketbert-sliced-large-ft-first-6l-126M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 0.9279822111129761,
-    "eval_runtime": 129.187,
-    "eval_samples_per_second": 774.071,
-    "eval_steps_per_second": 24.19,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-ft-first-6l-126M/config.json b/home/projects/docketbert/runs/docketbert-sliced-large-ft-first-6l-126M/config.json
deleted file mode 100644
index c2f2bb4..0000000
--- a/home/projects/docketbert/runs/docketbert-sliced-large-ft-first-6l-126M/config.json
+++ /dev/null
@@ -1,31 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-sliced-large-ft-first-6l-126M",
-    "run_dir_parent": "/workspace/clx/home/runs",
-    "base_model_name": "/workspace/clx/home/models/sliced-large-ft-first-6l",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {},
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 32,
-        "per_device_eval_batch_size": 32,
-        "gradient_accumulation_steps": 8
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-10l-175M/checkpoints/logs/events.out.tfevents.1764733986.cb019ea9b55a.2217.0 b/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-10l-175M/checkpoints/logs/events.out.tfevents.1764733986.cb019ea9b55a.2217.0
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diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-10l-175M/checkpoints/logs/events.out.tfevents.1764756464.cb019ea9b55a.2217.1 b/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-10l-175M/checkpoints/logs/events.out.tfevents.1764756464.cb019ea9b55a.2217.1
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diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-10l-175M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-10l-175M/checkpoints/results.json
deleted file mode 100644
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--- a/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-10l-175M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 0.794688880443573,
-    "eval_runtime": 148.5481,
-    "eval_samples_per_second": 673.183,
-    "eval_steps_per_second": 21.037,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-10l-175M/config.json b/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-10l-175M/config.json
deleted file mode 100644
index 36d8c03..0000000
--- a/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-10l-175M/config.json
+++ /dev/null
@@ -1,31 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-sliced-large-ft-interleaved-10l-175M",
-    "run_dir_parent": "/workspace/clx/home/runs",
-    "base_model_name": "/workspace/clx/home/models/sliced-large-ft-interleaved-10l",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {},
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 32,
-        "per_device_eval_batch_size": 32,
-        "gradient_accumulation_steps": 8
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-6l-126M/checkpoints/logs/events.out.tfevents.1764714112.19b787915ce9.850.0 b/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-6l-126M/checkpoints/logs/events.out.tfevents.1764714112.19b787915ce9.850.0
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diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-6l-126M/checkpoints/logs/events.out.tfevents.1764732185.19b787915ce9.850.1 b/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-6l-126M/checkpoints/logs/events.out.tfevents.1764732185.19b787915ce9.850.1
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diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-6l-126M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-6l-126M/checkpoints/results.json
deleted file mode 100644
index 28b92a2..0000000
--- a/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-6l-126M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 0.8957770466804504,
-    "eval_runtime": 123.6116,
-    "eval_samples_per_second": 808.986,
-    "eval_steps_per_second": 25.281,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-6l-126M/config.json b/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-6l-126M/config.json
deleted file mode 100644
index d86f1b8..0000000
--- a/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-6l-126M/config.json
+++ /dev/null
@@ -1,31 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-sliced-large-ft-interleaved-6l-126M",
-    "run_dir_parent": "/workspace/clx/home/runs",
-    "base_model_name": "/workspace/clx/home/models/sliced-large-ft-interleaved-6l",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {},
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 32,
-        "per_device_eval_batch_size": 32,
-        "gradient_accumulation_steps": 8
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-8l-150M/checkpoints/logs/events.out.tfevents.1764725630.7dacd21627be.2419.0 b/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-8l-150M/checkpoints/logs/events.out.tfevents.1764725630.7dacd21627be.2419.0
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index a87b3e2..0000000
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diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-8l-150M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-8l-150M/checkpoints/results.json
deleted file mode 100644
index 4788898..0000000
--- a/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-8l-150M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 0.8391136527061462,
-    "eval_runtime": 129.1877,
-    "eval_samples_per_second": 774.068,
-    "eval_steps_per_second": 24.19,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-8l-150M/config.json b/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-8l-150M/config.json
deleted file mode 100644
index d9bf44c..0000000
--- a/home/projects/docketbert/runs/docketbert-sliced-large-ft-interleaved-8l-150M/config.json
+++ /dev/null
@@ -1,31 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-sliced-large-ft-interleaved-8l-150M",
-    "run_dir_parent": "/workspace/clx/home/runs",
-    "base_model_name": "/workspace/clx/home/models/sliced-large-ft-interleaved-8l",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {},
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 32,
-        "per_device_eval_batch_size": 32,
-        "gradient_accumulation_steps": 8
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
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index 3f3d438..0000000
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diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-interleaved-10l-175M/checkpoints/logs/events.out.tfevents.1764760947.d18b6a682b37.832.1 b/home/projects/docketbert/runs/docketbert-sliced-large-interleaved-10l-175M/checkpoints/logs/events.out.tfevents.1764760947.d18b6a682b37.832.1
deleted file mode 100644
index fb25957..0000000
Binary files a/home/projects/docketbert/runs/docketbert-sliced-large-interleaved-10l-175M/checkpoints/logs/events.out.tfevents.1764760947.d18b6a682b37.832.1 and /dev/null differ
diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-interleaved-10l-175M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-sliced-large-interleaved-10l-175M/checkpoints/results.json
deleted file mode 100644
index b65d0f7..0000000
--- a/home/projects/docketbert/runs/docketbert-sliced-large-interleaved-10l-175M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 0.8644282817840576,
-    "eval_runtime": 146.797,
-    "eval_samples_per_second": 681.213,
-    "eval_steps_per_second": 21.288,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-interleaved-10l-175M/config.json b/home/projects/docketbert/runs/docketbert-sliced-large-interleaved-10l-175M/config.json
deleted file mode 100644
index 19384a7..0000000
--- a/home/projects/docketbert/runs/docketbert-sliced-large-interleaved-10l-175M/config.json
+++ /dev/null
@@ -1,31 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-sliced-large-interleaved-10l-175M",
-    "run_dir_parent": "/workspace/clx/home/runs",
-    "base_model_name": "/workspace/clx/home/models/sliced-large-interleaved-10l",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {},
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 32,
-        "per_device_eval_batch_size": 32,
-        "gradient_accumulation_steps": 8
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
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diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-interleaved-6l-126M/checkpoints/logs/events.out.tfevents.1764733062.dfd5cff4d824.440.1 b/home/projects/docketbert/runs/docketbert-sliced-large-interleaved-6l-126M/checkpoints/logs/events.out.tfevents.1764733062.dfd5cff4d824.440.1
deleted file mode 100644
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diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-interleaved-6l-126M/checkpoints/results.json b/home/projects/docketbert/runs/docketbert-sliced-large-interleaved-6l-126M/checkpoints/results.json
deleted file mode 100644
index 0187aae..0000000
--- a/home/projects/docketbert/runs/docketbert-sliced-large-interleaved-6l-126M/checkpoints/results.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "eval_loss": 0.9429915547370911,
-    "eval_runtime": 125.6717,
-    "eval_samples_per_second": 795.724,
-    "eval_steps_per_second": 24.866,
-    "epoch": 1.0,
-    "num_train_examples": 6353318,
-    "num_eval_examples": 100000
-}
\ No newline at end of file
diff --git a/home/projects/docketbert/runs/docketbert-sliced-large-interleaved-6l-126M/config.json b/home/projects/docketbert/runs/docketbert-sliced-large-interleaved-6l-126M/config.json
deleted file mode 100644
index 4c86bcc..0000000
--- a/home/projects/docketbert/runs/docketbert-sliced-large-interleaved-6l-126M/config.json
+++ /dev/null
@@ -1,31 +0,0 @@
-{
-    "task": "mlm",
-    "run_name": "docketbert-sliced-large-interleaved-6l-126M",
-    "run_dir_parent": "/workspace/clx/home/runs",
-    "base_model_name": "/workspace/clx/home/models/sliced-large-interleaved-6l",
-    "tokenizer_name": "answerdotai/ModernBERT-base",
-    "tokenize_args": {
-        "max_length": 768,
-        "padding": false
-    },
-    "model_args": {},
-    "training_args": {
-        "learning_rate": 0.0005,
-        "weight_decay": 0.01,
-        "num_train_epochs": 1,
-        "warmup_ratio": 0.05,
-        "logging_steps": 5,
-        "save_strategy": "steps",
-        "save_steps": 1000,
-        "save_total_limit": 2,
-        "eval_strategy": "steps",
-        "eval_steps": 1000,
-        "prediction_loss_only": true,
-        "remove_unused_columns": false,
-        "bf16": true,
-        "per_device_train_batch_size": 32,
-        "per_device_eval_batch_size": 32,
-        "gradient_accumulation_steps": 8
-    },
-    "mlm_probability": 0.3
-}
\ No newline at end of file
diff --git a/home/projects/entry_citation/.gitignore b/home/projects/entry_citation/.gitignore
deleted file mode 100644
index c96a04f..0000000
--- a/home/projects/entry_citation/.gitignore
+++ /dev/null
@@ -1,2 +0,0 @@
-*
-!.gitignore
\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
index a36b3a7..0df2117 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -9,7 +9,7 @@ name = "clx"
 version = "0.0.1"
 description = "Toolkit for running experiments and developing classifiers."
 authors = [{ name = "Free Law Project", email = "info@free.law" }]
-requires-python = ">=3.10"
+requires-python = ">=3.13"
 readme = "README.md"
 license = "BSD-2-Clause"
 keywords = [
@@ -38,6 +38,7 @@ dependencies = [
   "datasets>=4.3.0",
   "django>=5.2.7",
   "django-postgres-copy>=2.8.0",
+  "django-shortuuid>=0.1.2",
   "dspy>=3.0.3",
   "hf_transfer>=0.1.9",
   "litellm>=1.79.1",
diff --git a/uv.lock b/uv.lock
index 3b7d9df..0afe195 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,12 +1,9 @@
 version = 1
 revision = 3
-requires-python = ">=3.10"
+requires-python = ">=3.13"
 resolution-markers = [
     "python_full_version >= '3.14'",
-    "python_full_version == '3.13.*'",
-    "python_full_version == '3.12.*'",
-    "python_full_version == '3.11.*'",
-    "python_full_version < '3.11'",
+    "python_full_version < '3.14'",
 ]
 
 [[package]]
@@ -24,8 +21,7 @@ version = "1.11.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "huggingface-hub" },
-    { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
-    { name = "numpy", version = "2.3.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "numpy" },
     { name = "packaging" },
     { name = "psutil" },
     { name = "pyyaml" },
@@ -65,7 +61,6 @@ source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
     { name = "aiosignal" },
-    { name = "async-timeout", marker = "python_full_version < '3.11'" },
     { name = "attrs" },
     { name = "frozenlist" },
     { name = "multidict" },
@@ -74,57 +69,6 @@ dependencies = [
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+    { name = "django-shortuuid" },
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