Why self-review fails silently
Two models trained on similar material share blind spots, and a review prompt invites agreement. The output looks approving, lists a few cosmetic suggestions, and misses the invented statistic sitting in the second paragraph because the same distribution that produced it would also produce the review.
The failure is quiet. There is no error, no warning and no disagreement to investigate. A team that asked a model to check a model's work gets a document that says it was checked.
Replacing the second model with a deterministic rule engine changes the failure mode entirely: the rules were written before the output existed, and they do not know what the output was trying to say.