A Chatbot Responds. An Agent Takes Steps.
A chatbot mainly answers. An AI agent is designed to work toward a goal, often by planning, using tools, observing results, and deciding what to do next.
Agents Need Tools
An agent may use search, calculators, files, calendars, email, databases, websites, or other software. The model provides language and reasoning; tools provide access to specific capabilities.
Sometimes intelligence means knowing which tool should do the job.
Agents Work in Loops
An agent can try something, look at the result, and continue. If a website fails, it may need another path. If information is missing, it may need to stop and ask a person.
Action Changes the Risk
A wrong chatbot answer can be annoying. A wrong agent action can delete a file, send a message, schedule something, or change data.
That is why agents need permissions, limits, monitoring, and human approval for important actions.
Human-in-the-Loop
Some actions should stop before execution and ask a person. A system might be allowed to draft an email automatically but require approval before sending it.
The Big Idea
An agent combines a model with goals, tools, memory, permissions, and feedback. The agent is not simply “a smarter LLM.” It is a larger system designed to do work.