{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "jwuthri-cloud-tracely-ai--calibrate-judges-before-they-gate-releases",
 "repo": "jwuthri-cloud/Tracely-ai",
 "repo_url": "https://github.com/jwuthri-cloud/Tracely-ai",
 "repo_slug": "jwuthri-cloud-tracely-ai",
 "title": "Check a judge's accuracy before it blocks a release",
 "page_title": "How to check a judge's accuracy before it blocks a release with Tracely AI",
 "summary": "Label judge verdicts against human review to catch over-flagging before it gates a PR.",
 "who": "A QA or ML engineer who has added an LLM judge to a release gate and wants proof it flags the right runs.",
 "problem": "An LLM judge that over-flags will block good pull requests, and an under-flagging judge lets regressions ship.",
 "outcome": "Each judge gets an agreement score against human labels, with missed failures and over-flagging shown separately.",
 "steps": [
  "Run `docker compose --profile demo up -d --build --wait` and open http://localhost:3001.",
  "Open the calibration screen.",
  "Label a set of judge verdicts as pass or fail based on your own review.",
  "Read the per-evaluator agreement, missed failures and over-flagging counts.",
  "Only attach a judge to the CI gate if its agreement is acceptable to your team."
 ],
 "agent_prompt": "In the Tracely-ai repository, run `docker compose --profile demo up -d --build --wait` and open the calibration screen at http://localhost:3001. Label at least ten judge verdicts and report each evaluator's agreement, missed failures and over-flagging. Verify that the three numbers are shown for every evaluator you labeled.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "1 hour",
 "basis": "readme",
 "caveat": "Calibration is only as good as the human labels you provide, so the agreement numbers reflect your reviewers' judgment as much as the judge.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "python",
 "requirements": [
  "Docker and Docker Compose",
  "For local development: uv, Node 20+ and pnpm",
  "A GitHub repository with pull requests, if you want the CI gate",
  "Python, to install the tracelyai-sdk package"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.7,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/jwuthri-cloud-tracely-ai/calibrate-judges-before-they-gate-releases/",
 "md": "https://dedupedai.com/use-cases/jwuthri-cloud-tracely-ai/calibrate-judges-before-they-gate-releases/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/jwuthri-cloud-tracely-ai--calibrate-judges-before-they-gate-releases.json",
 "api_version": "v1"
}