AI agents handle routine tasks easily, but what about the gray areas? Anaconda Senior Developer Relations Engineer Daina Bouquin shows how “human-in-the-loop” agents keep automation efficient while pausing for human judgment when nuance matters. Her LangGraph tutorial walks through building one from scratch — starting simple, then adding Claude to handle more complex, natural-language decisions. 🔗 Ready to build something smart? Check out the full tutorial: https://bit.ly/4o5OyAN