EU AI Act compliance middleware for AI agents. Make any LLM-powered agent legally deployable in Europe with 3 lines of code.

HITL agent workflows in TypeScript: pause for human approval, multi-approver gates, timeouts, audit-friendly stores, Slack/webhook notify.

Hash-bound approval gate for AI agents. Fail-closed, single-use, audited — approve exact states, not intentions. Claude Code hooks included.

The cognitive discipline your AI-assisted projects need. Framework + Rust CLI to externalize scope, decisions, and risks (Charters, AILOG, AIDEC, ADR) so AI agents stay coherent across many turns. ISO 42001 / EU AI Act / NIST AI RMF evidence as a side effect. EN/ES/zh-CN.

EU AI Act governance prototype that turns real medical AI evidence and ISO/IEC 42001 governance scaffolding into reviewable classification, evidence checks, human oversight, and incident-handling paths.

Safety benchmark testing whether model-emitted uncertainty can ration scarce human review under corrupted evidence. Scores oversight-allocation regret against a hindsight oracle; every headline number regenerates from committed logs with no model calls.

Tier 2 of the CHOF toolkit — embedded human-oversight kernel for autonomous systems. Tactical safety governor (TCAS+AEB pattern) with Ed25519-signed audit logs. Python reference implementation; C++/Rust port for ROS2/PX4/ArduPilot forthcoming.

Verbatim mirror of APOPHASIS (v1.0) — a non-coercive, non-operational interpretive framework. No code. No derivatives.

Tier 1 of the CHOF toolkit — quantifies human oversight requirement for Autonomous Weapon Systems via the H equation from Mahajan (2024) QUB LLM Dissertation. Companion to chof-kernel.

Stable public reference layer for LUMINA-30 citations, DOI links, boundary terminology, and non-binding governance references.

Pre-execution safety gate for AI agents. Evaluates proposed actions and returns allow, require_approval, revise_action, or block before execution.

LUMINA-30: non-binding boundary framework for preserving effective human refusal before irreversible AI consequences.

LUMINA-30 incident review hub for evaluating whether effective human refusal authority remained before irreversible external impact from advanced AI systems.

Reference implementation of AMMP (Agentic Mentor-Mentee Protocol, draft-arturo-ammp-01), Mentoring track, on FastMCP. Multi-mentor + multi-mentee, LLM-synthesised AskMentor with confidence-driven escalation.

Canonical navigation index for LUMINA-30: civilizational boundary, incident review, public references, and AI-readable PDF text layers.

Governance layer architecture for autonomous AI systems, addressing Authority Drift through runtime authority boundaries and Structured Human Deliberation.

Patterns for ownership, oversight, escalation, and redress in high-accountability AI systems.

Human Supervision Protocol - Fail-Closed Execution Layer for Autonomous AI. Patent PCT/US26/11908

Public-interest governance framework for AI-assisted moderation, support-first triage, and lawful escalation across digital public spaces.

A public protocol for applying Artificial Wisdom as a guardrail for AI agents, code generation, automation, and long-term civilization-safe decision making.