How often should you re-evaluate a model in production?

Run a fast subset on every deploy, the full suite nightly, and a human-reviewed sample of production traffic weekly. Anything slower than daily and you will hear about regressions from users first. The nightly run matters most because it catches provider-side changes that no deploy of yours would trigger.

The weekly human sample is the part teams drop, and it is the one that catches failures the rubric never anticipated — a tone problem, a new category of request, a subtly wrong answer that scores well on groundedness.

Attach the eval score to a dashboard next to latency and error rate. Quality that lives in a separate tool nobody opens is quality that is not being managed.

Written by Binary AI Labs · Reviewed 2026-09-06