My LangGraph Project 1| Multi-Agent AI System Using LangGraph + LangChain (Production Blueprint)

Description

📌 Join My DataLinkk Skool Community (FREE) 👉 https://www.skool.com/qya-automations-1935 🚀 In this video, I break down the complete multi-agentic system I built using LangGraph, LangChain, and LangSmith — designed for real production workflows. This system automates an entire end-to-end process using specialized agents: ✔️ Opportunity agent ✔️ Deal context agent ✔️ Pre-meeting agent ✔️ Research agent ✔️ Transcript agent ✔️ Nudge agent ✔️ Supervisor orchestrating all routes You’ll see how I: • Designed a scalable multi-agent architecture • Built long-running workflows with LangGraph • Added conditional routing, memory, and state management • Integrated multiple LangChain tools & custom logic • Evaluated everything using LangSmith traces + experiments • Optimized for real-world automation & reasoning tasks This video is perfect for anyone building: • AI agents • LLM-powered automation • Enterprise workflows • Sales/ops/research assistants • Multi-agent orchestration systems 📎 Useful Links 🌐 Agency – https://datalinkk.com 📺 YouTube – https://www.youtube.com/@ahmed_ai67 💼 LinkedIn – https://www.linkedin.com/in/sarfaraz-ahmed07/ 💻 GitHub – https://github.com/Sarfaraz021