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Crescora Flow

AI Governance

Prompt Studio Operations

Manage prompt versions, approvals, testing, and rollback workflows for stable AI behavior.

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Audience: AI product owners and QA leadsRead Time: 9 minUpdated: May 2026

Versioning model

  • Treat each prompt as a versioned asset with objective, owner, and change rationale.
  • Use semantic naming so teams can identify intent and risk from the version label alone.
  • Never edit production prompts directly without creating a new candidate version.

Evaluation workflow

  • Run regression test sets across top intents and adversarial prompts before publish.
  • Score relevance, policy compliance, and hallucination risk against baseline versions.
  • Block release if critical intents regress even when average score appears improved.

Release and rollback

  • Promote prompts through dev to staging to production with explicit approval gates.
  • Publish during monitored windows and observe fallback and escalation rates immediately.
  • Rollback to last known good version when quality drift appears in first-hour telemetry.

Operational Checklist

  • OKPrompt change includes owner, reason, and expected outcome.
  • OKRegression suite passes for critical intents and edge cases.
  • OKApproval gate completed before production publish.
  • OKRollback target version is pre-selected.

Next Action

Apply this guide in your workspace and keep notes for your team in one shared SOP so onboarding and support remain consistent.

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