What Is an AI Agent? Agents vs Chatbots, Explained
What is an AI agent, and how is it different from a chatbot? One talks, one acts — and that single word, acts, is the whole revolution, explained simply.
A chatbot is an advisor on the phone; an agent is a contractor with keys to the house. An agent reads files, runs commands, observes results, and self-corrects in a loop until the job is done — instead of only describing the work.
What does an AI agent actually do?
Concretely: it takes your goal, breaks it into steps, and executes them with real tools — opening files, running commands, calling services — checking the result after each move. When something fails, it reads the error and tries another approach. You review outcomes instead of supervising every step.
How do you build an AI agent?
You usually don't have to build one from scratch. Ready-made agents like Claude Code already run the read-act-observe loop, and standards like MCP let you plug them into your tools. 'Building an agent' today mostly means picking one and connecting it to your world — a configuration job, not a coding one.
Author
Evgeny Arsentyev
PhD · Chief Product Officer at a healthtech company
▌ Reading is the blue pill
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