Evidence, not claims
Evidence, not claims
What is demonstrated, what is implemented, and what is not claimed — kept separate on purpose.
Evidence, not claims
Mechanism proof
The authority model itself: exact-action binding, state revalidation, single-use release, fail-closed behaviour on ambiguity, drift or replay.
Verified implementation slice
Internal evaluation of a narrow software-change slice. Internal findings only; not customer validation and not a production capability.
Market proof
Shown only when real, linked customer evidence exists. Nothing is presented here until then.
We do not display customer logos, deployment counts, savings figures or risk-reduction percentages. Where evidence does not exist, the section stays empty.
Internal evaluation cases
Drift after approval
An approved change was re-requested after the base state moved. The evaluation blocked rather than proceeding.
Replay of a consumed release
A single-use release was presented a second time. The evaluation blocked the duplicate effect.
Action outside the approved scope
A requested effect exceeded the reviewed bounds. The evaluation blocked despite sufficient permissions.
Internal cases, described without repository names, commit identifiers or invented metrics. PROVISIONAL — internal evidence, not customer validation.
Next step
Which action would you want AI to be able to perform safely?
Tell us the workflow and the action. We will tell you whether a bounded evaluation makes sense — and what evidence it would produce.