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Shipping AI Features: The 5 Checks We Run First8 steps · Checklist
Checklist: Shipping an AI feature
The checklist from the article.
Build an evaluation set from real examples, including messy and edge cases.
Score the model against that set and agree on a minimum pass threshold before launch.
Test the feature with bad, incomplete, and adversarial input on purpose.
Define exactly what happens when the model is wrong: human review, safe default, or hard stop.
Measure latency and cost per interaction at realistic traffic volume, not demo volume.
Set up ongoing monitoring and a re-evaluation schedule before the feature goes live.
Confirm someone owns the fallback path and reviews flagged cases on a regular basis.
Document the pass/fail thresholds so the next release is measured the same way.
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