# Feature flags let AI-built apps ship boldly and roll back instantly

Every AI feature you ship should ride behind a feature flag. That is the whole thesis: a flag separates deploying code from releasing behavior, so a misbehaving model response, a cost spike, or a half-ready assistant becomes a toggle flip instead of an emergency release. If you take one practice from this post, take that one — wrap each AI capability in a named flag with a safe default before it ever reaches production traffic.

The reason this matters more for AI-built apps than ordinary ones is that AI features carry two risks traditional features do not. First, their behavior drifts: the same prompt can produce different output after a provider-side model update you never asked for. Second, their cost scales with usage in ways that are hard to predict until real users arrive.

---

*This is an excerpt. Read the full post at [otf-kit.dev/blog/feature-flags-production-ai-app](https://otf-kit.dev/blog/feature-flags-production-ai-app) — full-stack kits your AI coding agent can actually ship to production. [Browse the kits →](https://otf-kit.dev)*