Maybe you have used AI like a search box: ask a question, get an answer, and do the rest yourself. An AI agent is a setup that can take a few steps toward a goal. It can use tools you allow, look at what happened, and decide what step to try next.
Imagine finding a café
You ask, “Find a café open now.” A simple chat reply might name some places. You still have to check the hours. An agent with a search tool could look up current listings, notice that one café is closed, check another, and show you two options with links. You choose where to go. It should ask before making a reservation or spending money.
What does “loop” mean?
A loop is just “try a step, see what happened, choose the next step.” In the café example: check a listing → see “closed” → check another. The result of one step changes the next step. The agent stops when it has enough information, reaches a limit, or needs your decision.
Does every chatbot become an agent?
No. A model that writes a reply is not automatically doing work outside the conversation. An agent needs access to useful tools, such as search, files, or an app, plus permission to use them. The same chat product may sometimes give one answer and sometimes run a multi-step task. “Agent” describes what the system does, not a special kind of model.
When is an agent helpful?
Use one when the job really needs several checked steps: compare a few options, gather sources, organize files, or test a change. For a quick definition or idea, one answer may be simpler. Check its work, especially before sending messages, changing files, booking, or buying anything.
Sources & further reading
These references are more technical than this introduction.