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.
echoos•1h ago
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.