Most AI failures I’ve seen weren’t hallucinations or wrong answers. They happened when systems executed actions by default.
This project explores the idea of a “Judgment Boundary”: explicitly separating judgment from execution, and treating STOP / HOLD as first-class outcomes.
Instead of optimizing answer accuracy, it focuses on: - preventing default execution, - making non-execution observable, - and preserving human responsibility.
The repo is documentation-first and meant as a public map for people working on agents, governance, or execution safety.
Feedback welcome especially from platform and infra folks.