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As AI agents gain more capabilities, operational control—not model capability—becomes the primary challenge, raising critical questions about security, permissions, observability, and recovery.
The article discusses the challenges that arise when AI agents transition from demos to production, focusing on the need for operational control planes that provide idempotency, approval tracking, and operational explainability rather than just model reasoning.