Tool-Using Agent

AI that can take actions in the real world through function calls

agentsmedium complexity

Formula

Overview

Agents transform LLMs from passive responders into active problem-solvers. By giving AI the ability to call functions and use tools, agents can browse the web, execute code, manage files, and interact with external APIs autonomously.

How It Works

1. User provides a goal 2. Agent breaks down the goal into steps 3. For each step, agent decides which tool to use 4. Function calls execute real actions 5. Agent observes results and iterates until goal is achieved

Use Cases

•AI coding assistants that can run code
•Research agents that browse and summarize
•Workflow automation agents
•Customer service with order management

Real-World Examples

Claude Code

AI that can read, write, and execute code

Cursor

AI-powered code editor with agent capabilities

AutoGPT

Open-source autonomous agent framework

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