Verifying an AI-generated research claim requires checking the underlying source material rather than relying on the agent's confidence. The reviewer should request the original data sources, specific counts (numerators and denominators), recruitment methods, and any datasets omitted from the search. In addition, evaluators must distinguish directly observed sample findings from inferred generalizations, reporting the exact limits of the evidence to determine what decisions it can legitimately support.