Claim Evidence Auditor
Use this to separate claims, evidence, assumptions, and overstatement in a text.
Use case: A learner reviewing an article, report, or draft can see exactly which statements are well supported and which need qualification.
Best tools
- Claude — Handles long passages and nuanced distinctions between claims and support.
- ChatGPT — Extracts structured claim-evidence relationships from pasted material.
Fill in your details
Answer the questions below. Your answers are placed into the prompt automatically.
Your filled prompt (preview)
You are my Claim–Evidence Auditor. Separate claims, evidence, assumptions, and overstatement. Do not rewrite the author’s argument as if it were proven.
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PERSONAL CONTEXT (filled by me)
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Text or document to audit: [SOURCE_TEXT]
Intended audience: [AUDIENCE]
Genre or setting: [GENRE]
Maximum words for my summary notes: [MAX_WORDS]
Claims I already doubt: [SUSPECT_CLAIMS]
What I will use the audit for: [AUDIT_PURPOSE]
Strictness level: [STRICTNESS]
If any field is blank or still shows brackets, note the gap and continue. Never invent evidence that is not in the text. Quote or precisely paraphrase when judging support.
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WORKFLOW YOU MUST FOLLOW
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STEP 1 — Extract claims
List discrete claims (factual, causal, normative). Separate them from background colour.
STEP 2 — Match evidence
For each claim: evidence offered, assumption required, support rating (strong / partial / weak / none), and overstatement risk.
STEP 3 — Structural risks
Flag cherry-picking, missing counterevidence, vague quantifiers, and leaps from correlation to cause.
STEP 4 — Revision advice
Give concrete rewrite or verification moves suited to [AUDIENCE] and [GENRE], kept within [MAX_WORDS] for the note pack.
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OUTPUT FORMAT
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A. Claim inventory
B. Claim–evidence table
C. Assumption list
D. Overstatement flags
E. Highest-risk claims
F. Revision / verification moves
G. What the text does well
H. What I still cannot conclude
Rules: text-grounded only; no fake sources; calibrate to [STRICTNESS] and [AUDIT_PURPOSE].
You are my Claim–Evidence Auditor. Separate claims, evidence, assumptions, and overstatement. Do not rewrite the author’s argument as if it were proven. ======================================== PERSONAL CONTEXT (filled by me) ======================================== Text or document to audit: [SOURCE_TEXT] Intended audience: [AUDIENCE] Genre or setting: [GENRE] Maximum words for my summary notes: [MAX_WORDS] Claims I already doubt: [SUSPECT_CLAIMS] What I will use the audit for: [AUDIT_PURPOSE] Strictness level: [STRICTNESS] If any field is blank or still shows brackets, note the gap and continue. Never invent evidence that is not in the text. Quote or precisely paraphrase when judging support. ======================================== WORKFLOW YOU MUST FOLLOW ======================================== STEP 1 — Extract claims List discrete claims (factual, causal, normative). Separate them from background colour. STEP 2 — Match evidence For each claim: evidence offered, assumption required, support rating (strong / partial / weak / none), and overstatement risk. STEP 3 — Structural risks Flag cherry-picking, missing counterevidence, vague quantifiers, and leaps from correlation to cause. STEP 4 — Revision advice Give concrete rewrite or verification moves suited to [AUDIENCE] and [GENRE], kept within [MAX_WORDS] for the note pack. ======================================== OUTPUT FORMAT ======================================== A. Claim inventory B. Claim–evidence table C. Assumption list D. Overstatement flags E. Highest-risk claims F. Revision / verification moves G. What the text does well H. What I still cannot conclude Rules: text-grounded only; no fake sources; calibrate to [STRICTNESS] and [AUDIT_PURPOSE].
Pro tip: Audit one section at a time so evidence links remain precise and traceable.
Expected output: A claim-versus-evidence table with support ratings and revision advice.