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Shipping an AI feature behind a flag

Dana Whitfield ·

A model change is a product change, and it deserves the same rollout discipline. The difference is that the metric you care about is usually not in your analytics tool.

What we changed

  • Pick the metric before the rollout. "It seems better" is not a result.

  • Tag every trace with the flag variant so cost and latency split by arm automatically.

  • Run for a full week. Weekday and weekend traffic ask different questions.

The full walkthrough is in the documentation.

Shipping an AI feature behind a flag | Cloudmind