Ground the answer, then verify the claim
Use source grounding and verification checks to reduce misinformation in AI-generated work.
The move: make the model show what each claim rests on. A model can sound certain when it is wrong. That is why secure professional prompting separates source-grounded output from review. The model should know the allowed source set, return citations or evidence references, and say not found when evidence is missing. Ground Define the source set. Use only these contract pages, tickets, database rows, meeting notes, or policy links. If the source is incomplete, the answer should expose the gap rather than fill it. Cite Ask for a claim table. Material claim, source reference, confidence, and uncertainty. This turns…
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