evidence-governance

A manual/static governance framework for consequential human-AI collaboration: evidence, authority, decisions, controlled execution, independent acceptance, failure takeover, and learning.

Production-grade SEO, AEO, and GEO agent skill with auditable detection, claim governance, evidence validation, and multi-agent installation.

Evidence-bound AI assurance framework for dependence-aware guardrail composition, scoped safety claims, reproducible reports, and receipt-backed disclosure controls.

Module 14 capstone: synthetic runtime assurance for evidence-gated medical LLM claims

Public controlled beta for the MVR Coding Agent Twin, a market-reality co-processor for AI coding agents.

Public-safe FastAPI evidence-governance demo with a React/TanStack UI companion for role-fit mapping, risk tracking, and gap planning.

An anonymized case study documenting the redesign and validation of a Python-based company-contact research workflow using source traceability, domain verification, confidence gates, deterministic testing, and privacy-safe release controls.