LangChain basics for product managers: when to use it

Learn LangChain basics for product managers to decide if your AI app needs an orchestration framework or plain code. Discover when to use LangChain and when it adds complexity to your timeline. Think of LangChain like a kitchen gadget drawer. It is an orchestration framework that hooks your AI model to outside data and chains steps together. This lets the AI route itself through tools based on user requests, passing the baton until the task is done. Using this for a simple chatbot is like using an egg separator to boil eggs. If your app only answers FAQs, extra parts make debugging a nightmare. You only need heavy tools when your AI agent has moving parts, like checking databases and drafting refunds. As a PM, keep your codebase light. Ask developers to map out the exact steps the AI needs before choosing a framework. In this lesson: - LangChain as an orchestration framework - AI routing and chaining steps in practice - Simple chatbots versus complex support agents - Mapping AI steps to avoid over-engineering U2xAI Academy - AI skills for product managers.