Human-in-the-Loop AI Agents with LangGraph (Planner → Feedback → Executor)

#aiagents #langgraph #langchain #humanintheloop #llm In this video, I built a human-in-the-loop AI agent using LangGraph, focusing on how real production agents are designed, not just how prompts are written. I design a multi-stage AI agent with clear responsibilities: - A Planner agent that generates a structured execution outline - A Human feedback loop to approve, revise, or stop the agent - A Feedback interpreter that converts human input into structured intent - An Executor agent that performs the task only after approval This video is for developers who want to move beyond prompt engineering and start building robust, controllable AI systems with LangGraph. If you’re learning AI agents, LangChain, or building production-ready LLM workflows, this tutorial will save you a lot of time. *Check the code on GitHub:* https://github.com/CodeByFelix/AI-Agent-Tutorial *Connect with me* *LinkedIn:* https://www.linkedin.com/in/felix-ibeamaka/ *X:* https://x.com/Electronics__ *Facebook:* https://www.facebook.com/felixibeamaka/ *Instagram:* https://www.instagram.com/electroni6_247/ *TikTok:* https://www.tiktok.com/@UClF6nEUxzBRYcd8vjQOenyA *Join My WhatsApp Group:* https://chat.whatsapp.com/C9mZeTCLiNQAe4yxCTmVy4 #aiengineering