Agents require iterative planning and reflection

To achieve complex tasks, autonomous AI agents must break goals into steps, execute them, and evaluate the output against the objective. This relies entirely on the concept that Feedback loops drive system behavior.¹

Footnotes

1. Yao, S., et al. (2022). ReAct: Synergizing Reasoning and Acting in Language Models. ICLR. ↩