🤖 Learn to build intelligent AI agent routing systems with LangGraph! In this comprehensive Python tutorial, I'll show you 4 powerful routing methods to direct user queries to the right AI handlers automatically. ⚡ What You'll Learn: ✅ LLM-based routing for maximum flexibility ✅ Embedding-based routing for semantic understanding ✅ Rule-based routing for lightning-fast decisions ✅ ML model-based routing with pickle persistence ✅ Complete LangGraph workflow implementation ✅ Real customer service use case with code examples 🚀 Take your AI agents to the next level! This tutorial gives you production-ready code that you can adapt for any multi-agent system. 👍 Like this video? Subscribe for more AI development tutorials and hit the bell for notifications! 💬 Questions? Drop them in the comments - I read and respond to all of them!