How to Reduce AI Hallucinations

Reduce unsupported claims by controlling sources, uncertainty, verification, and the scope of the task.

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Narrow the evidence boundary Tell the model which sources it may use and require it to distinguish supplied evidence from general knowledge. For current facts, connect a retrieval tool and retain source metadata.

Permit uncertainty Explicitly allow an unknown answer. Require missing evidence, conflicts, and assumptions to be surfaced instead of silently resolved.

Ask for claim-level support For high-stakes work, require citations near claims and verify that each citation actually supports the statement. A plausible URL is not evidence.

Build a review loop Use deterministic checks for dates, calculations, identifiers, and schema. Sample outputs manually and maintain a failure set so later prompt revisions do not reintroduce known errors.