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I'd been working on a personal wiki system for a while and adapted it to implement this pattern. Ended up as a git template:

https://github.com/asakin/llm-context-base

Main additions on top of the pattern: a training period where the AI learns how you work over 30 days then gets quieter over time, a metadata standard so files are queryable by summary, and a lint pass for stale content and context loading optimization. Never have to design a taxonomy upfront.



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