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🕸️ AI Diabetes Coach—Knowledge Graph
AI could be a genuinely knowledgeable diabetes coach — if only it could remember. Part 4 explores how a knowledge graph gives AI the persistent memory and structured context it needs to become a real health partner, not a brilliant stranger you re-introduce yourself to every time.
💭 AI Diabetes Coach—AI Prompt Engineering
How I went from asking 'Why is my glucose high?' to getting personalized daily coaching that improved my time in range from 82% to 98%. Six iterations of prompt engineering that transformed generic AI into an essential health tool.
📅 The Day Cluster: Multiple Daily Notes That Reduce Friction Instead of Adding It
Most PKM systems use a single daily note. I tried that for years. Everything piled into one file: plans, logs, reflections, glucose data, AI analysis, tasks, links. Finding anything meant scrolling through hundreds of lines...
🏗️ AI Diabetes Coach — System Architecture
In Part 1, you saw 82% → 98% time in range. But how does it work? This reveals the complete system: 5 components that transform raw sensor data into daily AI coaching. Dexcom API to Neo4j to Claude AI. Real examples, $20/month total. Part 2 of 5.
