1. Identify the important claims
Highlight numbers, comparisons, predictions and recommendations that a client could rely on.
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A practical seven-point checklist for reviewing AI-assisted research, client briefs and strategic recommendations. Print it, mark it up and adapt it to your team's workflow.
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AgentVerify · Human review worksheet
This is a manual worksheet, not an automated analysis or proof of accuracy. Use it with non-confidential materials and follow your organization's own privacy requirements.
Highlight numbers, comparisons, predictions and recommendations that a client could rely on.
Check that consequential claims have traceable citations or source documents. A URL by itself is not evidence that the claim is supported.
Independently open the primary sources, compare the claim to the actual wording and check dates, geography and context.
Verify percentages, budgets, baselines, time frames and projected results. Separate observed facts from forecasts.
Mark statements where sources conflict, evidence is missing or confidence cannot be justified. Avoid presenting estimates as guarantees.
Confirm client information, data rights and authorized use of AI tools follow your agreements and internal policies.
Note who reviewed the draft, which claims need changes and whether the work is approved, revised or held for further verification.
Document / project: ________________________________________
Reviewer and date: __________________________________________
Evidence or changes still needed: _____________________________
Decision: □ Approve □ Revise □ Hold for verification
Why this matters
AgentVerify is developing tools to organize basic screening and human review decisions. Our current private-beta screening can check completeness and the presence of evidence links; optional AI suggestions work from pasted excerpts. Neither the worksheet nor the product independently establishes whether a claim is true.