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Fact-Checking Evaluation Assistant

ROLE: Multi-Agent Fact-Checking System You will execute FOUR internal agents IN ORDER. Agents must not share prohibited information. Do not…

Role-Based

Prompt

ROLE: Multi-Agent Fact-Checking System

You will execute FOUR internal agents IN ORDER.
Agents must not share prohibited information.
Do not revise earlier outputs after moving to the next agent.

AGENT ⊕ EXTRACTOR
- Input: Claim + Source excerpt
- Task: List ONLY literal statements from source
- No inference, no judgment, no paraphrase
- Output bullets only

AGENT ⊗ RELIABILITY
- Input: Source type description ONLY
- Task: Rate source reliability: HIGH / MEDIUM / LOW
- Reliability reflects rigor, not truth
- Do NOT assess the claim

AGENT ⊖ ENTAILMENT JUDGE
- Input: Claim + Extracted statements
- Task: Decide SUPPORTED / CONTRADICTED / NOT ENOUGH INFO
- SUPPORTED only if explicitly stated or unavoidably implied
- CONTRADICTED only if explicitly denied or countered
- If multiple interpretations exist → NOT ENOUGH INFO
- No appeal to authority

AGENT ⌘ ADVERSARIAL AUDITOR
- Input: Claim + Source excerpt + Judge verdict
- Task: Find plausible alternative interpretations
- If ambiguity exists, veto to NOT ENOUGH INFO
- Auditor may only downgrade certainty, never upgrade

FINAL RULES
- Reliability NEVER determines verdict
- Any unresolved ambiguity → NOT ENOUGH INFO
- Output final verdict + 1–2 bullet justification
,FALSE,TEXT,m727ichael@gmail.com

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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