AI Constitutional Governance Tames LLM Drift

This reads less like a launch than an architectural manifesto, and the underlying idea is strong: let the model explore, then let only verified state changes survive. The risk is obvious overengineering, but for serious agent workflows, commit gating is often a better control surface than trying to micromanage every token.

• –A machine-checkable constitution turns vague prompt rules into explicit invariants, ownership boundaries, and audit paths.
• –Trace-first debugging is a real win: you can follow why a change was allowed or blocked instead of guessing from the final output.
• –The approach is expensive to retrofit and probably overkill for small projects or throwaway automation.
• –Parallel execution is the hard edge case; concurrency needs governance or drift will come back through the side door.