prompt-governance

Manage prompt versioning by organizing prompt assets in a registry with ownership, version history, and automated eval scoring against golden datasets to catch quality regressions before release.

A governed prompt iteration workflow is a structured release process that supports branch, test, compare, review, promote, monitor, and rollback steps to prevent production regressions and maintain deployment safety.

Set up an evaluation pipeline by defining golden datasets, establishing scoring methods, and configuring pass thresholds to evaluate prompt quality and safely run A/B tests before promoting changes.

Yes, you need a prompt registry structure to organize prompts with ownership, promotion status, and audit trails, which enables reliable rollback-ready release workflows for production AI.

The best way to stop silent regressions is to implement deployment gates that require automated eval scoring and review of score deltas before promoting new prompt versions to production.

No, running prompt A/B tests without an audit trail removes the ability to track promotion status and ownership, which compromises rollback readiness and safe deployment gate enforcement.