What are ReAct agents and how do they work?

I used to think AI agents were more capable than people gave them credit for, until I hit a breaking point. The agent reasoned through a multi-step task, took actions, and delivered a confidently structured, completely wrong answer—because it never once checked its assumptions against real data. And there's the rub: even an agent is still built on a raw LLM, which can fail by reasoning from bad assumptions rather than real data. That's the problem the ReAct agent framework tries to solve.

This article was curated by the Mewayz Editorial Team from The Zapier Blog. The full original report is available at the source.