Your agent passed the test. What does that prove?
A release decision needs a traceable connection between expected behaviour, test conditions and observed results. Here is a practical way to build that connection.
Criteria, evidence and accountable judgement used to decide whether an agent should enter or remain in service.
A release decision needs a traceable connection between expected behaviour, test conditions and observed results. Here is a practical way to build that connection.
Production readiness for an AI agent spans workflow requirements, system identity, evaluation, recovery and operations—not just a working model endpoint.
Specify the workflow, evidence, responsibility and exit conditions suppliers must meet, then evaluate them through representative scenarios.
Model concrete failure scenarios across detection, containment, correction, disruption and consequence, then use ranges to choose controls.
Accept an agent against outcome distributions, critical invariants and recovery evidence—not one scripted response or an average score.
Product leaders need evaluation evidence that connects workflow outcomes, user experience and policy behaviour to a release choice—not a leaderboard score.
A dramatic exploit is a discovery, not a decision rule. Translate it into a threat condition, required control, repeatable regression and release consequence.
Choose a sourcing path by separating the workflow advantage you must own from the capabilities you can responsibly obtain elsewhere.
Confidence is not a universal percentage. It is a judgement about evidence quality, uncertainty, consequence and the reversibility of the proposed release.
Grade findings by consequence, reach, reproducibility and control strength, then keep that technical judgement separate from the release decision.
A useful release pack connects the intended workflow, evaluated behaviour, unresolved risk and operating controls to one accountable decision.
Start with the choice an owner must make, then derive claims, evidence, cases and measures. The result is smaller, sharper and easier to defend.
KEEP EXPLORING
Read the method, assumptions and questions to ask.