
Why AI-Built Software Needs an Accountability Apparatus
Better models don’t remove the need to bound an agent’s authority: they increase it. The case for treating AI as delegated labour that needs an accountability apparatus outside itself.
The same belief applied to a team's process: who is allowed to approve what, and what "all tests pass" is actually asserting.

A passing Ranex gate proves tested conformance to an approved graph and exact digest. It does not prove correctness, security, or performance.

A passing command for one commit proves nothing about another. Bind evidence to the exact digest or let stale proof stop counting.

GitHub rulesets, editor hooks, and CI gate channels. Ranex asks a separate question: what must the evidence prove?

A session report describes a run. Re-run the command against the artifact on disk before you let that description decide anything.

Stop an agent from approving evidence it produced. The separation-of-duties rule that still matters when models improve.

A single run cannot prove a change helped. Freeze the comparison, set the rules first, and keep observations separate from grades.

A SHA-256 hash identifies approved dependency bytes. It cannot prove that imported code will report your test result honestly.

A citation can be fabricated from memory. Fetch and record the source bytes before you let a design claim borrow their authority.