How to Build a Multi-Agent System in 10 Minutes (Python & LangGraph Tutorial)

Connect with me on LinkedIn: https://www.linkedin.com/in/fernando-v-utzig/ Join my AI Newsletter: https://www.linkedin.com/newsletters/utzig-s-newsletter-7326199319722655744/ If you want to build AI applications that actually work in the real world, you need to learn how to build Multi-Agent Systems. In this video, I walk you through a real-world coding challenge: Building a Smart Bank Support system using Python and LangGraph. Instead of one confused AI trying to answer everything, we will build an architecture with a "Supervisor" router agent that delegates tasks to specialized worker agents (Technical, Billing, General, and Escalation). I'll also show you how to give your AI actual tools so it can query external databases (like checking an account balance) before replying to the user. No fluff, just pure architecture and code. In this video we cover: The Blueprint: How Multi-Agent architectures work. Defining State and Tools in Python. Building the Supervisor (Router) Agent. Using LangGraph to connect the nodes and conditional edges. Live testing the application with different user queries. 👋🏼 About me: Hello there! I'm Fernando. I'm a Computer Engineer who loves bridging the gap between complex software and practical automation. My goal on this channel is simple: to help professionals and developers build AI systems that save time, cut costs, and generate real value. I believe that anyone can leverage AI, so I break down complex architectures into easy, step-by-step tutorials. Here, you’ll discover a variety of "build-in-public" guides, including: ⚙️ n8n & Low-Code Automations 🧠 Multi-Agent Systems (Python & LangGraph) 🤖 Claude API & Advanced Use Cases Don't hesitate to drop any questions in the comments or connect with me on LinkedIn. Subscribe to stay ahead of the AI curve!