Use ReAct When the Agent Must Learn While Acting
Describe how the ReAct loop improves agent behavior on multi-step tasks that require tool use and new observations.
ReAct gives an agent a disciplined loop: reason about the next move, take an action, observe the result, and update the plan. That matters because many agent tasks are not single-shot generation problems. Research, triage, debugging, and workflow automation all involve changing evidence. A good agent should not behave as if the first prompt already contains the whole world. It should use tools to collect facts and then revise its next move based on what it learned. The practical gain is reduced hallucination and better recovery. When the agent pauses to observe, it has a natural place to detect contradictions,…
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