AI Agents Explained

AI agents pursue a goal on their own, taking actions across tools and checking their own results instead of waiting for a human to direct every step.

Real lesson card · Page 1 of 3

From answering to acting

AI agent

A system that pursues a goal by taking a sequence of actions — calling tools, reading the results, and deciding the next move — rather than producing a single response.

Example

Asked to book a trip, an agent might search flights, compare options, fill a form, and confirm, checking each result before the next step.

Myth

An AI agent is just a chatbot with a different name.

Reality

A chatbot responds once. An agent runs a loop: act, observe the outcome, adjust, repeat — powerful, but it compounds errors if an early step goes wrong.

The hard part of agents isn't intelligence — it's reliability. A ten-step task fails if any single step fails, so small error rates multiply quickly.

Recall check from the same lesson

An AI agent differs from a chatbot mainly because it takes actions in a loop toward a goal rather than giving a single response.

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