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Why Your AI Output Degrades Over Time—And the “Operator” Mindset That Fixes It
We have all experienced the “honeymoon phase” of an AI conversation. You start a session, and the model is sharp, insightful, and follows your directions with surgical precision. But as the session continues—as you generate the third, fourth, or fifth section of a project—the output begins to drift. The prose begins to feel recycled. Explanations…