Agent babysitting involves continuous human oversight of AI agents to catch errors, correct outputs, and ensure tasks stay on track. It’s used in automation workflows, customer support, and data processing. Developers, operations teams, and businesses deploying autonomous systems benefit most. This practice reduces risks, improves accuracy, and builds trust in AI, especially during complex or high-stakes operations.
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