Part 2: Evals as a deployment gate — and how to know when they drift

Evaluation gates integrated into continuous integration systems can prevent regressions in large language model deployments by automatically failing builds on prompt or model changes that degrade performance. Continuous drift detection complements these gates by monitoring quality over time to catch slow degradations that occur post-deployment. Treating evals like code tests with explicit, version-controlled cases ensures prompt and model updates maintain quality across common and edge cases.