A chatbot answers your question. An AI agent does the task.
An AI agent is software powered by a large language model that can pursue a goal across many steps — without waiting for your input at each one. You tell it what you want; it decides how to get there, which tools to use, and what to do when something goes wrong. The difference from a chatbot is autonomy: a chatbot responds, an agent acts.
How an AI agent works
An agent runs a continuous loop:
- Observe — it reads its environment: a webpage, a file, an API response, a task description.
- Reason — the underlying language model decides what to do next.
- Act — it calls a tool: search the web, run code, fill a form, send an email, call an API.
- Adapt — it checks the result and adjusts its plan.
Each step feeds back into the next. That loop, running automatically, is what lets an agent handle tasks that would take a human dozens of separate actions.
The tools an agent can call define its reach. Agents today can browse the web, write and execute code, read and write files, interact with GUI applications (clicking buttons, filling forms), call external APIs, and hand off subtasks to other agents.
What AI agents can actually do
Concrete tasks real agents handle today:
- Write, test, and debug software — coding agents like Anthropic’s Claude Code work autonomously inside a codebase: reading files, running tests, and fixing failures without constant supervision.
- Book travel and manage calendars — agents navigate websites, fill forms, and confirm bookings the way a human would.
- Conduct research — a research agent searches dozens of sources, synthesizes findings, and produces a structured report.
- Automate business workflows — data entry, email triage, CRM updates, and invoice processing are being delegated to agents in production environments.
- Control a computer — “computer use” agents take screenshots and control the cursor, mouse, and keyboard to operate any desktop or web application.
How to start using an AI agent
The easiest route for most people is a consumer product. Claude (by Anthropic) and ChatGPT (by OpenAI) include agentic features in their web and mobile apps — web search, code execution, file analysis. Claude’s free tier covers basic tasks; Claude Pro ($20/month, as of July 2026, per Anthropic’s pricing page) unlocks deeper workflows.
Developers can build custom agents using Anthropic’s Building Effective Agents guide and the Claude API, or use open-source frameworks such as LangChain, AutoGPT, or CrewAI. Anthropic also publishes a managed agents quickstart with code examples in multiple languages.
In the news
Meta CEO Mark Zuckerberg recently admitted that the company’s push to deploy AI agents at scale is running behind schedule — a reminder that reliable, general-purpose agents are still hard to build, even for the best-funded AI teams.
FAQ
What is the difference between an AI agent and a chatbot?
A chatbot gives one response to one prompt. An agent takes a goal and works toward it over many steps, using tools and making decisions along the way.
Do I need to be a developer to use an AI agent?
No. Consumer apps like Claude and ChatGPT already include basic agentic features accessible to anyone. Building custom agents from scratch requires coding knowledge.
Are AI agents safe?
Agents have more access and autonomy than chatbots, so the risks are higher. Well-designed agents include guardrails, request confirmation before irreversible actions, and limit the tools they can reach. Always review what permissions you grant.
How much do AI agents cost?
Basic agents are free through consumer products. Professional use starts at around $20/month; custom API-based agents are billed per usage — typically per million tokens processed.
Sources: AI agent — Wikipedia; Building Effective Agents — Anthropic; Anthropic pricing.