Horizontal reasoning method behind Agenda Intelligence: strategic-risk memo skill for AI agents with evidence boundaries, uncertainty, scenarios, actor incentives, and human-review framing. Not a product surface or factual verifier.

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

Evidence-readiness and trust-routing runtime for high-stakes AI-assisted decisions. Turns source packs, RFPs, vendor docs, and risk files into human-review packets with evidence gaps, weak claims, owner actions, and decision-readiness routing.

Regional reasoning specialist for Agenda Intelligence: Central Asia & Caspian skill for AI agents working on corridors, banking, logistics, energy, and geopolitical risk. Specialist layer, not the active commercial wedge.

Generate and check GitHub CODEOWNERS from accountable surface declarations.

Evidence-backed scientific AI report infrastructure

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.

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.

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.

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

Royalty OS v0.2 — Event-Based Trace-to-Value Circulation Architecture

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

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

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

Public-safe showcase for human-reviewed WordPress SEO AI workflows, WooCommerce optimization, review gates, and rollback safety.

Kazene Trace Receipt Protocol is a minimal standard for recording structured receipts of AI-assisted creation, transformation, routing, and derivative events without storing raw content by default.

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

A structural tuning layer for AI governance, designed to align AI actions, recovery decisions, self-improvement loops, and human review with constitutional principles.

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