Three Places for One PKM Vocabulary
I wrote down the 223 concept terms my vault and my tools argue about. Then I had to work out which of my three websites each part of it actually belongs on.
I wrote down the 223 concept terms my vault and my tools argue about. Then I had to work out which of my three websites each part of it actually belongs on.
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.
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...
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.
Six weeks ago, I was averaging 82% time in glucose range. This week? 98% TIR with five perfect 100% days. Here's how I built an AI-powered PKM system that turns diabetes data into daily coaching.
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