Agentic AI Core Components: Reasoning Engine

In this video, we build a real reasoning engine for agentic AI using LangChain and LangGraph. We implement a structured runtime with: • Explicit state • Structured tools with validation • A reasoning loop (model → tools → reflection) • Quality control via a reflection rubric • Stop conditions and retry policies • A LangGraph state machine with conditional routing By the end, you’ll understand: • Why LLMs are not reasoning engines • How control flow lives outside the model • How to engineer reliability instead of hoping for it Notebook used in the demo: https://github.com/hussien824/Agentic-AI-Tutorials.git