Foundations
AI agent vs AI chatbot: what is the difference?
A chatbot answers; an agent acts. What changes when a model can use tools, why that raises the stakes, and what to check before letting one act.
All explainers · Last reviewed:
The actual difference
The mechanism is tool use. An agent is a model in a loop with a set of tools it may call, and each result feeds the next decision. Remove the tools and the loop, and you have a chatbot.
That loop is what makes agents useful and what makes them risky. A chatbot that is wrong wastes your time. An agent that is wrong has already done something.
Where agents earn their keep
Multi-step work with a checkable end state. Run the tests, read the failure, change the code, run them again. The check closes the loop, and the agent can tell whether it has succeeded.
They struggle where success is a matter of judgement, because nothing tells them to stop. An agent with no way to verify its own progress will keep going confidently.
What to check before letting one act
What tools it has, and what those tools can reach. Whether destructive actions need approval. Whether you can see the steps it took, not just the result. And whether it can be stopped mid-run.
The steps matter most. An agent whose reasoning you cannot inspect is one you have to accept or reject wholesale, which is the worst position to review work from.
Questions people ask
- Is a chatbot with search an agent?
- It is the boundary. Once it decides for itself whether to search, and what to do with the results, it has the loop. Most useful assistants now sit somewhere on this spectrum rather than at one end.
- Do agents need the strongest models?
- They benefit more than chatbots do, because errors compound across steps. A small mistake early can send the whole run somewhere useless.
- Are agents safe to run on a codebase?
- With version control, scoped permissions and a review step, yes — that is a well-established use. Without those, an agent is making unreviewed changes to your work.
Try it rather than read about it
ClawAI’s coding agent runs in your editor with the steps visible and the model choice yours, so a run is reviewable rather than a single take-it-or-leave-it result.