Curriculum/agent systems add 5 frontmatter fields

curriculum/07-agent-systems/01-what-are-agent-systems.md

@@ -2,6 +2,17 @@
 id: what-are-agent-systems
 title: What Are Agent Systems?
 version: 1.1
+track: agent-systems
+level: beginner
+Prerequisites: "Basic Python and familiarity with LLM concepts helpful (covered in 03-AI-ML and 01-foundations)"
+Duration: "~35-45 minutes (video + reading + runnable example)"
+Format: "Watch First video + reading + Mermaid concept map + Python agent loop (stdlib only) + exercises + self-assessment + further reading"
+Future_Topics: "LLM Orchestration, Tool Calling and Integration, Memory and State, Planning and Reasoning, Safety and Guardrails, Evaluating Agents"
+Related_docs:
+  - 05-products/00-personal-operator
+  - 05-products/00-value-engine
+  - 03-AI-ML/01-beginner/01-foundations/01-math-for-ml
+  - 06-rust-engineering/02-rust-syntax-fast-start
 ---
 
 # What Are Agent Systems?

curriculum/07-agent-systems/02-llm-orchestration.md

@@ -2,6 +2,17 @@
 id: llm-orchestration
 title: LLM Orchestration
 version: 1.1
+track: agent-systems
+level: beginner
+Prerequisites: "01-what-are-agent-systems, basic Python and LLM API exposure"
+Duration: "~45-60 minutes"
+Format: "Watch First video + reading + Mermaid flowcharts (6 orchestration patterns) + Python router example + exercises + self-assessment + further reading"
+Future_Topics: "Tool Calling and Integration (tool loop), Safety and Guardrails (validators, escalation), Evaluating Agents (trace scoring, judge models), 06-rust-engineering Async Rust and Tokio"
+Related_docs:
+  - 01-what-are-agent-systems
+  - 03-tool-calling-and-integration
+  - 06-rust-engineering/08-async-rust-and-tokio
+  - 06-rust-engineering/18-ai-assisted-rust-engineering
 ---
 
 # LLM Orchestration

curriculum/07-agent-systems/03-tool-calling-and-integration.md

@@ -2,6 +2,17 @@
 id: tool-calling-and-integration
 title: Tool Calling and Integration
 version: 1.1
+track: agent-systems
+level: intermediate
+Prerequisites: "01-what-are-agent-systems, 02-llm-orchestration, basic Python, familiarity with REST APIs and JSON schema"
+Duration: "~50-60 minutes"
+Format: "Watch First video + reading + Mermaid sequence/flow diagrams + Python tool registry with policy gate + exercises + self-assessment + further reading"
+Future_Topics: "Safety and Guardrails (tool-call policy gate, approval), Evaluating Agents (Harnessy tool-choice evals), Memory and State (idempotency keys), MCP deep-dive, OAuth/scope management"
+Related_docs:
+  - 02-llm-orchestration
+  - 04-memory-and-state
+  - 05-products/01-jarvis
+  - 06-safety-and-guardrails
 ---
 
 # Tool Calling and Integration

curriculum/07-agent-systems/04-memory-and-state.md

@@ -2,6 +2,17 @@
 id: memory-and-state
 title: Memory and State
 version: 1.1
+track: agent-systems
+level: intermediate
+Prerequisites: "01-what-are-agent-systems, 02-llm-orchestration, 03-tool-calling-and-integration, basic Python, vector search concepts helpful"
+Duration: "~50-65 minutes"
+Format: "Watch First video + reading + Mermaid flowcharts + Python memory store using token overlap + exercises + self-assessment + further reading"
+Future_Topics: "Vector DBs / embeddings deep-dive, RAG patterns, memory poisoning defenses (links to safety), Evaluating Agents (memory-aware evals), 05-products Harnessy"
+Related_docs:
+  - 03-tool-calling-and-integration
+  - 05-planning-and-reasoning
+  - 05-products/02-garden
+  - 03-AI-ML/03-advanced/01-modern-architectures/01-transformers
 ---
 
 # Memory and State

curriculum/07-agent-systems/05-planning-and-reasoning.md

@@ -2,6 +2,17 @@
 id: planning-and-reasoning
 title: Planning and Reasoning
 version: 1.1
+track: agent-systems
+level: intermediate
+Prerequisites: "01-what-are-agent-systems through 04-memory-and-state, basic Python"
+Duration: "~50-65 minutes"
+Format: "Watch First video + reading + Mermaid flowcharts + Python planner/executor with replanning + exercises + self-assessment + further reading"
+Future_Topics: "Safety and Guardrails (planning budgets as runtime guardrails), Evaluating Agents (plan/trajectory evals), multi-agent orchestration deep-dive, Tree of Thoughts, Reflexion, 05-products WorkStream"
+Related_docs:
+  - 04-memory-and-state
+  - 06-safety-and-guardrails
+  - 05-products/03-workstream
+  - 03-AI-ML/03-advanced/01-modern-architectures/02-graph-neural-networks
 ---
 
 # Planning and Reasoning

curriculum/07-agent-systems/06-safety-and-guardrails.md

@@ -2,6 +2,18 @@
 id: safety-and-guardrails
 title: Safety and Guardrails
 version: 1.1
+track: agent-systems
+level: advanced
+Prerequisites: "01-what-are-agent-systems through 05-planning-and-reasoning, basic Python, security mindset recommended"
+Duration: "~55-70 minutes"
+Format: "Watch First video + reading + Mermaid flowcharts (8 guardrail layers) + Python tool policy gate + exercises + self-assessment + further reading"
+Future_Topics: "Red-teaming playbooks, sandboxing and OS-level isolation, memory poisoning defenses, Evaluating Agents (adversarial eval suites), SOC 2 / EU AI Act compliance, 05-products Security and Trust Engineering"
+Related_docs:
+  - 05-planning-and-reasoning
+  - 03-tool-calling-and-integration
+  - 05-products/07-security-trust-engineering
+  - 04-Protocol Engineering/03-advanced/01-lead-architect/03-security-modeling
+  - 03-AI-ML/03-advanced/02-research-in-practice/02-large-model-alignment
 ---
 
 # Safety and Guardrails

curriculum/07-agent-systems/07-evaluating-agents.md

@@ -2,6 +2,18 @@
 id: evaluating-agents
 title: Evaluating Agents
 version: 1.1
+track: agent-systems
+level: advanced
+Prerequisites: "01-what-are-agent-systems through 06-safety-and-guardrails, basic Python, comfort with metrics and CI"
+Duration: "~55-70 minutes"
+Format: "Watch First video + reading + Mermaid flowcharts (evaluation map) + Python eval harness + exercises + self-assessment + further reading"
+Future_Topics: "Online/continuous evals, A/B testing of prompts and models, observability stack deep-dive (OpenTelemetry, LangSmith, Arize), judge-model calibration, Harnessy case studies, 05-products Harnessy"
+Related_docs:
+  - 06-safety-and-guardrails
+  - 05-planning-and-reasoning
+  - 05-products/04-harnessy
+  - 03-AI-ML/02-intermediate/02-mlops/01-ci-cd-for-models
+  - 03-AI-ML/02-intermediate/02-mlops/02-monitoring-and-drift
 ---
 
 # Evaluating Agents

website/docusaurus.config.ts

@@ -50,7 +50,7 @@ const config: Config = {
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-          editUrl: "https://github.com/Flow-Research/learn/tree/main/",
+          editUrl:({ docPath }) => `https://github.com/Flow-Research/learn/edit/main/curriculum/${docPath}`,
           remarkPlugins: [remarkMath],
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           sidebarItemsGenerator: async ({