Making AI agents work requires a foundational management layer currently missing from technical conversations. As knowledge workers shift from executing tasks to instructing and evaluating AI, leaders must apply strict product discipline, data-driven evaluations, and Human-in-the-Loop frameworks to manage the resulting explosion of unpredictable outputs.

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