Prompt Regression

How to detect and fix prompt regressions with eval baselines, monitoring, and rollback triggers.
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Prompt Regression

Prompt regressions happen when a prompt change reduces quality, increases cost, or breaks safety expectations.

Enterprise handling: detect via eval, confirm via monitoring, rollback fast, and document evidence.

See also

Evaluation Harness Monitoring (Quality, Drift) Rollback Strategy AI Rollback Runbook

FAQ

What is prompt regression?
A prompt change causes a drop in quality, safety, or cost performance compared to baseline.

How do we detect it?
Evaluation harness + monitoring of outcome metrics and drift signals.

What’s the first response?
Freeze changes, reproduce on test set, rollback if confirmed.

How do we prevent repeats?
Versioning, gates, and stronger rubrics/test sets.

What’s the first improvement?
Run a small evaluation set for every prompt change.