LLM Knowledge Bases: a practical guide — Ben Holmes, Warp
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- AI Engineer
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- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
A concrete -maintained knowledge pipeline that runs on a schedule, including the small details that keep an agent from inventing its own taxonomy.
“Talking runs about 200 words a minute and typing does not, which is why Ben Holmes starts a knowledge base with voice dictation rather than with organization.”
AI Engineer
“The pipeline only works if there is enough raw material, so the capture step is deliberately sloppy: ramble into your phone after a podcast or a meeting, skip the formatting, and let agents impose structure afterward.”
AI Engineer
“An enrich note skill stamps each file with a timestamp so later runs know what has been processed, assigns tags from a fixed reference list instead of inventing new ones, since as he puts it Claude loves to get creative, researches the source on the web, and adds backlinks found by key term search.”
AI Engineer
“The closing trick is a graph view of every note, built in HTML and Tailwind purely by asking an agent for it, which turns out to be a decent map of where your own thinking has gaps.”
AI Engineer
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