Build Your First AI Agent
Hands-on tutorial: Create a working AI agent from scratch in 15 minutes
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0 / 5 completedIntroduction
Ready to build your first AI agent? In this hands-on tutorial, you'll create a functional agent that can search the web, perform calculations, and answer questions—all by writing less than 50 lines of code.
🎯 What You'll Build
Searches the web, analyzes results, and provides summaries
Performs complex mathematical calculations
Natural language interaction with memory
Chooses the right tool for each task automatically
🧩 Agent Components (Interactive)
Every agent has four core components. Click each to learn more:
The Brain (LLM)
The reasoning engine that makes decisions and plans actions
Understands instructions, breaks down tasks, decides what to do next
GPT-4, Claude, or Llama processes your request and creates a plan
� Prerequisites
✅ What You Need
- •Basic Python knowledge (variables, functions, imports)
- •OpenAI API key (free tier works fine)
- •Python 3.8+ installed
- •15 minutes of focused time
❌ What You Don't Need
- •Advanced ML/AI knowledge
- •Deep learning experience
- •Complex infrastructure setup
- •Expensive compute resources
🗺️ Your Learning Path
Learn how the brain, tools, memory, and controller work together
Write code for each component with clear explanations
Run real queries and see your agent in action
Debugging, monitoring, and improving your agent
💡 Why Build Your Own Agent?
While you can use pre-built agents, understanding how to build from scratch gives you:
- ✓Full control over agent behavior and capabilities
- ✓Customization for your specific use case
- ✓Deep understanding to debug and optimize
- ✓Foundation knowledge for advanced agent patterns