What is AI Agent?
Last updated May 2026An AI system that can autonomously plan, execute tasks, and use tools to achieve goals.
Definition
An AI agent is a system that goes beyond simple question-answering to autonomously plan multi-step workflows, make decisions, use external tools (APIs, databases, web browsers), and iterate on results. Agents can break complex tasks into subtasks, execute them in sequence, and adapt their approach based on intermediate results.
💡 Example
Claude Code acts as an AI agent — you describe what you want to build, and it autonomously plans the implementation, writes code across multiple files, runs tests, debugs errors, and iterates until the task is complete.
Related concepts
A type of AI trained on massive text datasets to understand and generate human language.
Why this matters
AI agents represent the next wave of AI tools — systems that can plan, execute multi-step tasks, use tools, and work autonomously. Understanding agents helps you evaluate tools like Devin, Manus, and OpenAI Codex, which promise to handle entire workflows.
Real-world example
Ask ChatGPT a question: it gives one response. Ask Devin to fix all TypeScript errors in a repo: it reads files, plans changes, runs tests, and submits a PR — multiple steps, no human intervention. That's the agent difference.
See it in action
A prompting technique that asks AI to show its reasoning step by step.
What is AI Agent?
An AI agent is a system that goes beyond simple question-answering to autonomously plan multi-step workflows, make decisions, use external tools (APIs, databases, web browsers), and iterate on results. Agents can break complex tasks into subtasks, execute them in sequence, and adapt their approach based on intermediate results.
How does AI Agent work in practice?
Claude Code acts as an AI agent — you describe what you want to build, and it autonomously plans the implementation, writes code across multiple files, runs tests, debugs errors, and iterates until the task is complete.
How is an AI agent different from an AI assistant?
An AI assistant responds to individual prompts and waits for the next instruction. An AI agent operates more autonomously, maintaining goals across multiple steps, using tools, and making decisions about what actions to take next without requiring a prompt for each step.
What tools do AI agents typically use?
AI agents commonly use web search, code execution, file manipulation, API calls, and database queries. The ability to use external tools is what distinguishes agents from simple chatbots, as it allows them to take actions in the real world rather than just generating text.
What should you consider before deploying an AI agent?
Key considerations include setting clear boundaries on what actions the agent can take, implementing human approval for high-stakes decisions, monitoring for errors that compound across steps, and ensuring the agent has appropriate access permissions for the tools it needs.