AI Agents
Everything you need to build autonomous AI agents — from choosing a platform to deploying in production. Guides, comparisons, and real-world examples.
What Is an AI Agent?
An AI agent is a program powered by an LLM that can autonomously plan, use tools, and complete complex tasks. Unlike chatbots that just respond, agents take action.
Agent Platforms
OpenAI
- Assistants API
- Function Calling
- Code Interpreter
- File Search
Best for: RAG, data analysis, code execution
Claude (Anthropic)
- Tool Use
- Computer Use
- MCP Protocol
- Extended Thinking
Best for: Complex reasoning, code, tool integrations
MCP Servers
- Open Standard
- Tool Protocol
- Resource Access
- Prompt Templates
Best for: Standardized tool access, any LLM
Documentation
All docs →Claude Tool Use: How to Give Claude Access to Tools
Practical guide to Claude tool use — from basic concepts to building an agent with tools.
What Is MCP and Why You Need It
Introduction to Model Context Protocol — the open standard for connecting AI to external tools and data.
OpenAI Function Calling: Getting Started
How function calling works in OpenAI API — from defining functions to handling responses.
Build Your First AI Agent from Scratch
Step-by-step tutorial for building a simple AI agent in Python with Claude API — from zero to working prototype.
Articles
All articles →What Are AI Agents and Why Your Business Needs Them
Understanding AI agents — how they work, what makes them different from chatbots, and why they matter.
How AI Agents Are Transforming Business in 2026: Real Case Studies
5 real examples of how companies use AI agents for automation, support, and analytics.
OpenAI Assistants API: The Complete Guide
How to build an AI assistant with OpenAI Assistants API — function calling, file search, code interpreter.
Claude vs GPT for Building Agents: 2026 Comparison
Detailed comparison of Claude and GPT for creating AI agents — performance, pricing, and capabilities.