LangChain vs LangGraph explained for product managers

Understanding LangChain vs LangGraph is critical when your engineering team builds an AI application. Picking the wrong framework wastes weeks of development or breaks complex user flows. LangChain acts like a straight recipe where the system moves step by step without looking back, making it perfect for linear tasks like summarizing a document. LangGraph operates like a board game with branches and loops. It maintains a running state, allowing the system to loop back and try different paths without crashing. You will learn to map user flows and identify when to use chains for straight lines and graphs for loops. Match the tool to the problem shape instead of defaulting to the heavier framework. In this lesson: - Recipe and board game analogies for workflows - How state allows systems to loop and recover - Choosing linear chains versus dynamic graphs - Questions to ask engineers about architecture U2xAI Academy - AI skills for product managers.