"Deploying AI features safely: feature flags, shadow mode and staged rollout"
A one-line prompt edit can shift behaviour across your entire input distribution. Treating model and prompt changes like risky deploys — eval gates, flags, shadow mode, staged rollout — is how AI features ship without incidents.
Teams that would never merge code without review will happily edit a production prompt in a dashboard at five o'clock on a Friday. The edit looks harmless — it is only words — and nothing objects: no compiler, no type error, no failing build. But a prompt change is a deploy. So is a model version bump, a temperature tweak, a new tool description. Each one changes the behaviour of a production system for every user, and it deserves the same ceremony as any other change that can do that.
Have an AI feature stuck between demo and production?
The gap — reliability, evals, cost control, the plumbing that keeps it running unattended — is exactly the work I do. If that sounds familiar, a short conversation is usually enough to point you the right way.
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