AI Product Launch Readiness Lab
Turn AI evaluation results into an explicit release gate covering quality, latency, high-severity failures and recovery.
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The fields below contain example values. Replace them with your own evidence; nothing is sent to a Ninth Post server.
How this tool works
A release decision must not be reduced to a single accuracy score. This lab checks a transparent set of user-entered gates: accepted tasks divided by evaluated tasks, a user-defined acceptance threshold, measured p95 latency against a stated budget, zero severe failures, human approval, and a recovery exercise. Any failed gate produces a review/hold recommendation. The counts are evidence supplied by the user, not measurements performed by Ninth Post.
Limitations and responsible use
Define the actual evaluation population, severity rubric and sampling strategy before relying on the score. The default values are hypothetical and must be replaced with your real observations. A "Go" result is a planning signal, not safety certification or a promise that production use is risk-free.
Continue the research
Read the related Ninth Post guide: AI Product Launch Readiness — companion analysis. Review the primary methodology or framework source and our editorial standards. Results reflect assumptions, not independent testing.