Human in the Loop-LangGraph (Part 1) | Interactive AI Workflows | Nidhi Chouhan

Description

Welcome to another exciting video in the LangGraph Workflow Series with Nidhi Chouhan! In this session, we dive into the concept of Human-in-the-Loop (HITL) — a crucial part of Agentic AI systems where human intelligence and AI decision-making work together. 💡 What You’ll Learn: ✅ What is Human in the Loop (HITL)? ✅ Why combining human feedback with AI matters ✅ How to add human checkpoints inside LangGraph workflows ✅ Practical examples of review, correction, and approval loops This concept helps ensure your AI decisions stay accurate, ethical, and aligned with real-world expectations. Perfect for developers building interactive AI systems and enterprise-grade workflows. 📘 Part of: LangGraph Workflow Series — Learn step-by-step how to design reliable, human-aware AI systems. 📌 GitHub Repository (Code + Notes): 👉 https://github.com/dearnidhi/Agentic-AI-HandsOn-Bootcamp 📩 Connect with Me: ✉️ nidhiyachouhan12@gmail.com 📸 Instagram: @codenidhi | @dear_nidhi 💼 LinkedIn: Nidhi Chouhan ✨ Don’t forget to LIKE 👍, SHARE 📢 & SUBSCRIBE 🔔 for more tutorials on LangGraph, LLMs, and Agentic AI. LangGraph Human in the Loop, Human in the Loop AI, LangGraph Workflow, Agentic AI Workflow, Human AI Collaboration, LangGraph Tutorial, LangGraph LangChain, AI Feedback Systems, LangGraph Human Approval, Human Checkpoint LangGraph, LangGraph Examples, LangGraph for Beginners, Nidhi Chouhan LangGraph #LangGraph #HumanInTheLoop #AgenticAI #AIWorkflow #LangChain #LangGraphTutorial #InteractiveAI #CodeNidhi #NidhiChouhan #GenAI #ArtificialIntelligence #MachineLearning #AIwithHumanFeedback