LangGraph: Build Human-in-the-Loop Agents That Never Break

Video Description

Learn the secret to deploying reliable AI agents with LangGraph! This ai agent tutorial dives deep into why most AI agents fail in production and introduces "human-in-the-loop" (HITL) as the critical solution, with code examples. Discover common failure points like wrong tool usage, infinite loops, and unsafe actions, and see how HITL can solve these issues. We'll walk through how to implement HITL in any LangGraph agent, covering primitives like 'Interrupt' and 'Command'. Perfect for AI builders looking to optimize your ai workflow and create consistently reliable AI agents that actually work in the real world. 🚀 Waitlist signup for my free community Get access to the new DISCORD server! ➡️ https://kenneth-liao.kit.com/join 🎥 Referenced Videos - Intro to Langgraph: https://youtu.be/31JoTDm7jkM - MCP + Langgraph: https://youtu.be/F9mgEFor0cA 🛠️ Resources - REPO: https://github.com/kenneth-liao/human-in-the-loop - UV Setup: https://docs.astral.sh/uv/guides/install-python/ - Install Docker: https://www.docker.com/get-started/ 🕒 Sections 00:00 - Intro 00:35 - AI Agent Failure Modes 06:06 - What is Human-in-the-loop (HITL) 10:56 - Project Setup 16:36 - Building the Graph with HITL 34:20 - Getting Human Input from the Client 46:38 - Get the Slides #langgraph #aiagents #langchain