What is an AI agent?
An AI agent is a model set up to take a sequence of actions toward a goal, calling tools and reading their results to decide its next step, rather than producing one answer and stopping.
A plain question-and-answer exchange is one round: the model reads a prompt and writes a response. An agent is the same kind of model wired into a loop instead: it can take an action, like calling a tool to search or read a page, look at what came back, decide what to do next, and repeat, often several times, before it decides the task is finished and gives a final answer.
It's worth being clear that an agent isn't a smarter or different model underneath, it's a way of running an ordinary model repeatedly with tools attached, so it can still misread a page or state something wrong partway through a multi-step task (see hallucination). For a site owner, agents matter because a shopping or research agent may visit and read a page directly during its task, rather than only seeing a summary from a search tool, which means the ordinary readability of that page, whether the content actually renders and loads properly, is back in play (see thin-content, server-side-rendering).
Related
- Tool useTool use is a model's ability to call an outside function mid-answer, such as a search, a calculator, or a code runner, and fold whatever it gets back into its response.
- HallucinationA hallucination is a confident, fluent statement from a model that is not true. In a brand context it is the model getting your pricing, features or ownership wrong.
- Thin contentThin content is a page that exists to be indexed rather than to be read. Google's test is purpose and added value, not word count.
- Server-side renderingServer-side rendering means the HTML arrives complete from the server. It matters because most AI crawlers do not execute JavaScript, so content injected in the browser is invisible to them.
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