Which tool to choose

  • You just want to understand the difference by trying it: the assistant you already use (the latest version of ChatGPT, Claude or Gemini) works as a chatbot when you answer in the box, and becomes a small agent when you enable the tools that let it search the web or carry out tasks.
  • You want to see an agent at work on real tasks: look for the "agent" or "task" mode inside the most recent assistants, where the AI performs a sequence of steps showing you what it's doing.
  • You want to make the AI act inside your programs (email, spreadsheets, apps): you need the connecting tools, which the dedicated guides cover; here it's enough to understand the concept.

How to do it (to tell the difference)

  1. Make the same complex request and watch the reaction. The operational syntax:
Find the three cheapest flights from Milan to Lisbon for the first weekend of July and tell me which is the best.
  1. If you get an answer in words ("it's usually best to book in advance, check these sites..."), you're talking to a chatbot: it knows, but it doesn't look.
  2. If the AI actually opens sites, compares real prices and brings you back the three flights with links, it's acting: it used an external tool to carry out a task. That's the agent behavior.
  3. Notice who decides the steps. The chatbot does what you tell it, one move at a time. The agent, given the goal, chooses the sequence on its own: first it searches, then it compares, then it checks the dates, then it concludes.
  4. Watch where it stops. A good agent halts and asks for confirmation before an action that has consequences (buying, sending, deleting). If it doesn't, that's a warning sign.

A concrete example

Paolo asks a chatbot to organize his week. The chatbot writes him a nice plan in a list, which Paolo then has to copy by hand into his calendar. Then he tries an agent connected to his calendar: he gives it the same goal, and the agent reads the commitments already present, finds the free slots, inserts the activities and asks for confirmation before saving. Same goal, two worlds: one gave him a text, the other sorted out his schedule. Paolo understands in an instant what "acting" instead of "answering" means.

When it does NOT work (and how to fix it)

If you expect a chatbot to carry out actions

An assistant without connected tools can only talk to you: it will tell you the steps, not perform them. Remedy: either you copy its directions into your programs yourself, or you enable the tools that turn it into an agent (connection to the web, to apps, to files).

If the agent does more than it should and takes wrong initiatives

Autonomy is a double-edged sword: an agent can carry out the wrong action with the same confidence as the right one. Remedy: give it circumscribed goals, ask it to show you the plan before acting and to stop at every irreversible action.

If you can't tell whether you're using a chatbot or an agent

Interfaces don't always say so clearly. Remedy: ask it directly: "can you carry out actions in my programs or only give me instructions?". And watch whether, faced with a task, it talks or it does.

A tip from someone who actually uses it

Start by treating every agent like an intern on their first day: capable, willing, but to be supervised. Give it small tasks, watch how it carries them out, and widen your trust only after it has shown you it doesn't cause trouble. The mistake of those who start off badly is handing an agent the keys to everything on day one.

Frequently asked questions

Is an AI agent more intelligent than a chatbot?

Not necessarily. Often underneath there's the same language model. The difference is what it's allowed to do: the chatbot can only converse, the agent has in addition the ability to plan and to use tools. It's a matter of powers, not of IQ.

Will AI agents replace chatbots?

For tasks that require doing something, yes, the agent is more useful. But for answering a quick question the chatbot stays simpler and faster, and it doesn't risk carrying out unwanted actions. They'll keep coexisting, each for what it does best.

Is it true that an AI agent works on its own and I can stop worrying about it?

It's the most costly illusion. "Autonomous" means it decides the steps on its own, not that it's reliable without supervision: an agent makes mistakes with the same autonomy it succeeds with, and without a person watching, its errors spread. Autonomy shifts your role from executor to supervisor, it doesn't eliminate it.