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.
Python services trigger QuickAdd macros to execute Obsidian command workflows.
Python services integrate PKM knowledge system architecture using Neo4j, Obsidian, and Claude AI.
Playlist with all 17 conference videos and debate-style podcast generated from conference transcripts by NotebookLM.
How sketches and links help ideas surface—and stick by Nick Milo, founder of Linking Your Thinking.
How the Grammar of the Page Shapes the Grammar of Our Thoughts by Nick Sousanis.
