ReAct Pattern (Simple)
Perfect for beginners — Start here if you’re new to AI agents
- ~400 lines of Python code
- Single-loop reasoning
- Learn: Tool calling, prompting, basic agent loops
- Time: 2-3 hours
AI Agent Tutorials
Master the art of building autonomous AI agents that reason, plan, and execute complex tasks with Claude
Choose Your Learning Path
Section titled “Choose Your Learning Path”Plan-Execute-Verify (Production)
Production-ready architecture — Advanced pattern for complex tasks
- ~1300+ lines of Python code
- Multi-phase planning & execution
- Learn: State machines, verification, error recovery
- Time: 6-8 hours
What You’ll Learn
Section titled “What You’ll Learn”Agent Fundamentals
- Tool calling and function execution
- Prompt engineering for reasoning
- Handling agent loops and termination
Production Patterns
- State management and context preservation - Error handling and recovery strategies - Verification and quality control
Real-World Application
- Legal document review system - Compliance checking workflows - Scalable agent architectures
Best Practices
- Testing AI agents effectively
- Performance optimization
- Observability and debugging
Prerequisites
Section titled “Prerequisites”Before diving in, you should be comfortable with:
- Python 3.10+ — All code examples use modern Python
- API basics — Understanding REST APIs and async programming
- Claude API — Get your API key from console.anthropic.com
No AI/ML background required! These tutorials teach agent patterns from first principles.
Learning Path
Section titled “Learning Path”- Case Study Overview — Understand the problem space and compare patterns (15 min)
- ReAct Pattern — Learn the simple pattern (start here!)
- Overview with diagrams → Claude SDK → Model Agnostic → LangChain
- Plan-Execute-Verify — Scale to production
- Overview with diagrams → Claude SDK → Model Agnostic → LangChain
Each section has complete, runnable code examples.
Ready to build your first AI agent?
Start with ReAct Pattern →