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AI Knowledge Base

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Field Guides

Consolidating scattered, multi-source information into one clean, interlinked, trustworthy reference.

The problem

Useful knowledge is almost never in one place. On any topic — and inside any organization — it’s scattered across wikis, docs, web pages, PDFs, threads, and people’s heads. The information usually exists; what’s missing is a way to find it, trust it, and see how the pieces connect. The cost shows up as duplicated work, stale documentation, and onboarding that drags on for months.

Who it’s for — and why it matters

Anyone who has to turn sprawl into something usable: a new hire getting up to speed, a team drowning in Confluence/Notion/Slack, or — in my case — someone going deep on a subject for the fun of it. The topic is a hobby; the skill is not. Consolidating disparate sources into one organized, navigable, trustworthy reference is a core product and knowledge-management capability, and it moves straight from beer to a company’s internal docs without changing the method.

What I built

Deep, interlinked knowledge bases — “field guides” — that pull an entire domain into a single readable, navigable reference. Two so far, both built with the same repeatable method rather than hand-crafted one-offs:

Browse all the guides →

How it works

  1. Architect first. Map the domain into an information architecture — sections, categories, and atomic notes — before writing a word of content.
  2. Generate in parallel. Draft the notes with Claude, each one focused and cross-linked to the others with wikilinks.
  3. Verify integrity. Programmatically check every link — no dead ends, no orphan notes. Trust is the whole point of a reference.
  4. Publish. Ship it as a fast static site.

The value is in the architecture and the integrity, not the word count.

Stack & architecture

Claude for research and drafting; an Obsidian-style Markdown vault as the source of truth; a wikilink graph as the connective tissue; an automated link-verification pass; static-site generation deployed on Vercel.

How I measure success

Product takeaways