The Fact & Gap Checker evaluates an AI model's unprompted parametric claims against live web research using four relational states: confirms, contradicts, new (gaps), and regrounds. By assigning verified verdicts while permanently honoring manual human rulings, the engine isolates active model hallucinations and surfaces critical brand facts missing from training weights.