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Critically, you also need to decouple the implementer from the reviewer. I've learned this the hard way too many times: if the same model instance implements and evaluates its own work, it's biased. It will gloss over issues and tell you all tasks are complete when they aren't. It's not malice, it's the same reason you don't grade your own exam. Have a different model (or a different instance with a review-specific prompt) do the review pass. Your signal quality goes way up.