Agents as loops describes autonomous AI systems that continuously sense, reason, and act within a feedback cycle. Used in automation, robotics, and real-time decision-making, this approach enables adaptive responses to dynamic environments. Developers, data scientists, and businesses benefit from improved efficiency and self-correcting workflows.
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