Governance law for agentic software systems where mistakes are expensive. Deterministic control, not guidelines.
Known failure patterns in agentic systems and the governance mitigations that prevent them.
Requires auditable state transitions and undo/rollback/compensation paths.
Forces identity to be read from canonical PRODUCT_IDENTITY.md file.
Requires source-of-truth docs + typed boundary + runtime validation.
Token budget + pruning protocol + immutable-by-default law.
The foundational constraints that make AI-assisted development safe and auditable.
Signal → Interpret → Act → Learn. Every feature must define this cycle.
No "approved" or "funded" states without verified backing.
Test intent defined before implementation. No tests, no ship.
Organizations using governance to ship faster without breaking things.
"We were shipping 2x faster with AI agents, but had no visibility. This system caught three issues in week one that would have hit production."
"The agent just refuses now instead of shipping broken code. Our incident rate dropped 70% in the first quarter."
"Finally, audit trails that satisfy compliance without slowing down development. Every state change is logged automatically."
"We were shipping 2x faster with AI agents, but had no visibility. This system caught three issues in week one that would have hit production."
"The agent just refuses now instead of shipping broken code. Our incident rate dropped 70% in the first quarter."
License tiers designed for different stages of agentic system deployment.
One-time license
Annual license