An AI agent is an AI system that works toward a goal instead of just answering a question. It plans the steps, uses tools such as web search or a code editor, and checks the results before reporting back. A chatbot tells you how to do something; an agent tries to do it for you.<\/p>\n\n\n\n
This guide answers “What is an AI agent?” in plain English. You’ll see how agents differ from chatbots and how they work step by step. It also covers where you can use them today and the limits to know before you hand one a real task.<\/p>\n\n\n\n
Most AI agents today run on a large language model<\/a>, the type of AI behind ChatGPT, Claude and Gemini. On its own, the model reads your message and writes a reply. An agent gives that model three more things: a goal, tools it can use, and a loop that lets it keep working until the goal is met.<\/p>\n\n\n\n Think of the model as the brain and the tools as its hands. For example, the goal might be “Find five recent articles on solar energy in the Gulf and summarize each one.” Here the agent decides what to search for, opens the results, picks the relevant ones and writes the summaries itself. You don’t guide it one message at a time.<\/p>\n\n\n\n Anthropic’s engineering guide on building effective agents<\/a> separates two ideas. In a workflow<\/strong>, the steps are fixed in advance by a developer. In an agent<\/strong>, the model decides its own steps and which tools to use. You’ll also hear the term agentic AI<\/em>, which covers both: any AI system that takes actions rather than only producing text.<\/p>\n\n\n\n Some people talk about “autonomous AI,” meaning agents that run for long periods with no one watching. In practice, most useful agents today are only partly autonomous. They handle the steps, and a person approves anything important.<\/p>\n\n\n\n A chatbot is a program you talk to in text or voice, and it replies within the conversation. If you want the full picture, we explain what a chatbot is<\/a> in a separate guide.<\/p>\n\n\n\n The main difference is who does the in-between steps. Ask a chatbot how to compare laptop prices, and it gives you tips. Ask an agent, and it visits the stores’ websites, builds a comparison table and flags the best value for your budget.<\/p>\n\n\n\n The line between them is blurring. Many chat apps now include agent features, so the same app can answer a quick question or take on a multi-step task.<\/p>\n\n\n\n Every agent is different under the hood, but most follow the same basic cycle:<\/p>\n\n\n\n To use tools, agents need a way to connect to other software. One common standard for this is the Model Context Protocol<\/a>, which lets AI apps connect to tools and data sources in a consistent way.<\/p>\n\n\n\n Good agents also have checkpoints<\/strong>: points where they stop and ask you before doing something that matters, such as sending a message or making a payment. How often an agent checks in is one of the most important things to look at when you try a new tool.<\/p>\n\n\n\n Agents are already part of many tools people use every week. These are some of the most common AI agent examples:<\/p>\n\n\n\n For students, a research agent can save hours of searching. It can’t do the reading and thinking for you, though. Treat its report as a map of where to look, then read the key sources yourself.<\/p>\n\n\n\nAI Agent vs Chatbot: What Changes<\/h2>\n\n\n\n
<\/th> Chatbot<\/th> AI agent<\/th><\/tr><\/thead> What you give it<\/td> A question or instruction<\/td> A goal<\/td><\/tr> What it gives back<\/td> An answer in the chat<\/td> A finished task or a report on what it did<\/td><\/tr> Tools<\/td> Few or none<\/td> Search, browser, files, code, apps<\/td><\/tr> Who runs the steps<\/td> You, one message at a time<\/td> The agent, in a loop<\/td><\/tr> Time per task<\/td> Seconds<\/td> Minutes, sometimes longer<\/td><\/tr> Your role<\/td> Ask and read<\/td> Set the goal, supervise, approve<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n How AI Agents Work: Plan, Act, Check<\/h2>\n\n\n\n
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Everyday Examples of AI Agents at Work<\/h2>\n\n\n\n
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Agentic Research: An Agent You Can Use Today<\/h2>\n\n\n\n