Closing the Loop: Production Drift Detection for LLM Evals

1Key Takeaways

• Originally published on AI Tech Connect .
• What you need to know Drift happens with zero code changes.
• A provider updates the model behind a stable alias, real traffic diverges from your golden set, the surrounding product changes what the model sees, or a tool dependency shifts.
• Continuous monitoring is a different discipline from CI evals.