{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "prysai-prysai-llm-playbook--review-done-claims-with-evidence",
 "repo": "Prysai/Prysai-LLM-Playbook",
 "repo_url": "https://github.com/Prysai/Prysai-LLM-Playbook",
 "repo_slug": "prysai-prysai-llm-playbook",
 "title": "Review a 'done' claim against its evidence",
 "page_title": "How to review a 'done' claim against its evidence with Prysai LLM Playbook",
 "summary": "Use Chapter 9 and Lab 003 to match each claim to the evidence that supports it.",
 "who": "A developer or team lead who has been told a task is finished and needs to confirm it before accepting the work.",
 "problem": "An agent or tool can report completion while touching wrong files, skipping tests, or missing part of the scope.",
 "outcome": "A claim-to-evidence review that catches wrong files, missing tests, and scope gaps.",
 "steps": [
  "Read Chapter 9 on verification and recovery in the book.",
  "List every claim the tool made as a separate line.",
  "Match each claim to the file, test, or output that supports it.",
  "Mark claims with no matching evidence as unproven.",
  "Decide to accept, revise, or stop, and record what remains unknown."
 ],
 "agent_prompt": "In the Prysai-LLM-Playbook repository, use book/chapters/09-verification-and-recovery-EN.md and Lab 003 to review the completion claims in <report> against the files in <target>. The expected output is a claim-to-evidence table with unproven items marked. Verify that each accepted claim points to a file, test, or output you actually inspected.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "45 minutes",
 "basis": "readme",
 "caveat": "The lab is a draft exercise in the repository, so it helps structure a review but does not guarantee that a completed task is correct.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "requirements": [
  "A web browser to open the guided reading site",
  "Paper or a text file to write the task card and result record",
  "A disposable local project only if you continue to the Codex track"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.7,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/prysai-prysai-llm-playbook/review-done-claims-with-evidence/",
 "md": "https://dedupedai.com/use-cases/prysai-prysai-llm-playbook/review-done-claims-with-evidence/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/prysai-prysai-llm-playbook--review-done-claims-with-evidence.json",
 "api_version": "v1"
}