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A startup founder I know recently hired an AI consultant to audit their recommendation engine. The evaluation process involved stress-testing the model on edge cases like new users with sparse history, then mapping each failure point to a specific business cost. It was a sobering exercise—what looked like a 90% accurate system turned out to deliver poor suggestions for a third of their paying customers.