Human-in-the-Loop in LangGraph Explained | LangGraph Mastery #5

Welcome to Episode 5 of the LangGraph Mastery Series! 🚀 One of the most important features of a reliable AI Agent is the ability to involve humans in critical decisions. In this episode, we'll explore how LangGraph enables Human-in-the-Loop workflows, allowing AI agents to pause execution, request human approval, and resume based on human feedback. You'll learn: ✅ Human-in-the-Loop (HITL) ✅ Interrupts in LangGraph ✅ Human Approval Workflows ✅ Resuming Execution with Command ✅ Checkpointing and State Persistence ✅ Approving or Rejecting AI Actions ✅ Building Interactive AI Agents We'll build an agent that pauses before performing an action, waits for human approval, and continues execution based on the decision. By the end of this video, you'll understand how to keep humans involved in important AI decisions and build more controllable, reliable agent workflows. In future episodes, we'll combine Human-in-the-Loop with more advanced agent architectures and production-ready workflows. #LangGraph #AgenticAI #HumanInTheLoop #LangChain #Python #LLM #ArtificialIntelligence