A governed world-model evidence layer for AI agents: simulate bounded scenarios, track assumptions, score prediction-vs-reality error, and produce human-reviewable execution evidence.

Review-only humanitarian water-resilience proof-of-concept for drought-stressed communities: evidence gates for water quality, treatment, atmospheric-water triage, energy, reserves, maintenance, infrastructure health, MAR screening, receipts, and human review.

Deterministic governance evidence layer for single-agent AI workflows. Make AI-assisted work reviewable before it becomes trusted.

See where you stand. Mirror is a local-first personal sovereignty toolkit that adapts to any user, any situation, any institution. Tell it what happened in your own words — it maps your rights, generates the one question that matters, and gives you the next step. Built on the Burgess Principle. MIT licensed.

Sovereign personal vault for The Burgess Principle. Keep your facts private, send only a cryptographic fingerprint, and receive signed receipts proving whether a human reviewed your specific case. Take them to any tribunal, ombudsman, or court.

Blank browser-based dual human-review template for image patches

Taste — expert human review for AI agents. MCP server manifest; x402 payments on Base.

A metadata specification for annotating question-centered semantic structure, deep context, trace governance, and allocation-readiness in AI-mediated knowledge ecosystems.

AI-assisted PDF/DOCX packet structuring workflow with source citations, semantic retrieval, deterministic validation, and reviewer-facing run sheets.

Prior NEARWEEK AI x crypto news-sourcing and editorial workflow experiments.

PDF/OCR catalogue import workflow with structured CSV/JSON/SQLite outputs, validation warnings, source evidence, and human-review packets.

Evaluation checklists for AI video editing agents: task planning, edit reasoning, user control, reviewability, and output quality.

Non-invasive state-transition observer protocol for AIOps, NOC alarm fatigue, and industrial monitoring

Public PoC full-report series for Neotro Protocol: observer-layer state-transition reports for Generative AI Safety and AI NPC dialogue using Aegis 2.0 and LIGHT

Public report and aggregate reproducibility package for the Neotro Protocol quantum-computing execution-record observer-state mapping experiment.

AI Act compliance bundle — DSAR / bias monitoring / risk register / human-review tracker / consent / disclosure middleware