Tired of messy AI prototypes? In this edition of ☕ Kedro Coffee Chat K, we’ll show you how to combine Kedro and LangGraph to build structured, reproducible, and truly agentic workflows. Our demo walks through a real-world use case: automating customer support with intent detection, knowledge base lookups, and dynamic tool use, all powered by Kedro’s data management and LangGraph’s orchestration. We’ll cover: • How Kedro manages data and credentials for AI workflows • Using LangGraph to route between reasoning, retrieval, and response generation • Logging, observability, and prompt tracking for reproducibility • Tips for extending this setup to your own LLM-based projects 📅 When: 10 October, 1 PM (GMT+1) youtube YouTube: linkedin LinkedIn: https://www.linkedin.com/posts/kedro-python_in-this-edition-of-kedro-coffee-chat-activity-7381692041249853440-_TjC See you there! And if you can’t make it, the recording will be available afterwards 📽️ (edited)