AI agent is a system that can perceive context, make decisions, and execute actions to reach a goal — autonomously or with light human oversight. It doesn’t only answer: it chains steps, uses tools, and adjusts as results come in.
It builds on artificial intelligence (often a language model underneath), plus a layer of reasoning and action: search the web, query a database, call an API, send an email, or update a CRM. A classic chatbot follows a script; fixed automation fires “if X, do Y.” An agent is more flexible: you give it an objective and it figures out how to get there. That usually starts with a clear prompt or goal statement.
A real-life example of an AI agent
You ask: “Review today’s contact forms, flag the ones that qualify, and schedule a meeting.” A chatbot would explain what a lead is. An agent can read the messages, filter them, write to the CRM, and propose times — with human review when it matters (human in the loop).
Customer support, sales, and operations already run real cases. For the full picture, see AI agents: what they are.