
Stop the Sugar Spikes: Build a Real-Time AI Glucose Coach with LangGraph & CGM
Managing blood sugar isn't just for diabetics anymore; it’s the new frontier of biohacking and longevity. But let's be real: staring at a Continuous Glucose Monitor (CGM) graph all day is exhausting. What if an AI agent could do the heavy lifting for you? 🩸💪 In this tutorial, we are building a closed-loop AI Glucose Coach using LangGraph , the Dexcom API , and Notion . This agent doesn't just watch your levels; it reacts. When a glucose spike is detected, it triggers a "remedial exercise" log in Notion and crafts a personalized meal adjustment plan based on your historical data. We’ll be leveraging AI agents , Function Calling , and automated health interventions to turn raw data into actionable health outcomes. For more production-ready patterns and advanced AI-human-in-the-loop architectures, definitely check out the deep dives over at WellAlly Tech Blog . 🏗 The Architecture: A Closed-Loop Health Agent Unlike a simple chatbot, a health agent needs to maintain state and handle conditi
Continue reading on Dev.to Python
Opens in a new tab


