AI Agent
ApplicationsAn AI system that can independently plan and carry out multi-step tasks, using tools and making decisions along the way rather than just responding to a single prompt.
Think of the difference between a chatbot and an AI agent like the difference between a reference librarian and a personal assistant. The librarian answers your questions but stays behind the desk. The personal assistant goes out into the world, runs errands, makes phone calls, and comes back with everything done.
An AI agent is a step beyond a regular chatbot. While a chatbot waits for your message and gives a single response, an AI agent can take a goal, break it into steps, use various tools (like web browsers, code interpreters, or databases), make decisions, and complete complex tasks with minimal human guidance.
For example, if you ask a regular chatbot "find me flights from New York to London under $500 for next month," it might give you general advice about where to search. An AI agent would actually go to flight booking websites, search for flights, compare prices, filter results under $500, and come back with specific options. The key difference is that the agent takes action in the real world rather than just generating text.
AI agents are being built with a concept called "tool use" -- the AI can call external tools like web search, calculators, code execution environments, APIs, and more. The agent decides which tools to use and in what order, similar to how you might switch between apps on your phone to complete a task. Some agents can even create and run code to solve problems, browse the internet for research, or manage files on your computer.
This is one of the hottest areas in AI development. Companies are racing to build agents that can handle tasks like booking travel, managing your inbox, doing research, writing and testing code, and automating business workflows. We are still in the early days -- today's agents can be unreliable on complex tasks and sometimes make mistakes. But the technology is improving rapidly, and many experts believe AI agents will be the primary way people interact with AI in the near future.
Real-World Examples
- *Claude using computer use to browse the web, click buttons, and fill out forms on your behalf
- *GitHub Copilot Workspace planning and implementing code changes across multiple files
- *AI agents that research a topic, summarize findings, and draft a report automatically