Agents & Agentic AI
ReAct
Reasoning and acting
An AI approach that alternates planning-like notes, actions and checking what happened.
Example
An assistant searches, examines what it finds and chooses its next step.
Why people use it
It helps an agent use what it learns from one action to choose the next.
What you'll hear
“Look at the search result before deciding what to do next.”
What this means for you
Check what it actually did, including side effects, rather than only its explanation.
Can you control it?
Developer-only
The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.
Common questions
- Does a visible reasoning trace guarantee correct reasoning?
- No. Traces and actions can both contain errors.
- Can it recover from an unsuccessful action?
- It may try a different step after seeing the result, if the surrounding system supports that behavior.
- Can it get stuck repeating actions?
- Yes. Without useful feedback or stopping rules, it can repeat an unhelpful pattern.