{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "prysai-prysai-llm-playbook--check-llm-answer-before-acting",
 "repo": "Prysai/Prysai-LLM-Playbook",
 "repo_url": "https://github.com/Prysai/Prysai-LLM-Playbook",
 "repo_slug": "prysai-prysai-llm-playbook",
 "title": "Check an LLM answer before you act on it",
 "page_title": "How to check an LLM answer before you act on it with Prysai LLM Playbook",
 "summary": "Use the five-unit core route to write a bounded request and inspect the model's answer.",
 "who": "A beginner who has received a fluent AI answer and needs to decide whether it is safe to use.",
 "problem": "A fluent answer can omit facts, invent details, or sound certain without support, and it is hard to tell which.",
 "outcome": "A bounded task card, a checked result record that states what remains unknown, and one transfer attempt on a new task.",
 "steps": [
  "Open the guided reading site and start the five-unit LLM foundation route.",
  "Read the LLM concepts guide to see what a language model can and cannot establish.",
  "Write a bounded task card with the goal, supplied context, allowed help, limits, check, and stop condition.",
  "Send one bounded request and mark any omission, invention, or overconfidence you find in the answer.",
  "Write a checked result record that lists what you inspected, what you kept, and what remains unknown, then repeat the method on a new task."
 ],
 "agent_prompt": "Using the Prysai-LLM-Playbook repository, read book/routes/llm-foundation-core-v1-EN.md and write a bounded task card for <task>. The expected output is a card with goal, context, allowed help, limits, check, and stop condition. Verify that every limit is stated before any request is sent.",
 "agents": [
  "any"
 ],
 "difficulty": "Beginner",
 "time": "60 minutes",
 "basis": "readme",
 "caveat": "The route is a candidate, and learner completion, transfer, and retention are not yet measured, so finishing it does not prove you can use the method reliably.",
 "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": true,
 "score": 1.0,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/prysai-prysai-llm-playbook/check-llm-answer-before-acting/",
 "md": "https://dedupedai.com/use-cases/prysai-prysai-llm-playbook/check-llm-answer-before-acting/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--check-llm-answer-before-acting.json",
 "api_version": "v1"
}