LLM Wiki 101Starter Kit

LLM Wiki 101

An LLM Wiki is a persistent Markdown knowledge base that an AI helps compile and maintain from your raw sources.

Guide

What to know first

01

Definition

An LLM Wiki is a source-backed Markdown wiki that an AI helps maintain. The important word is maintain: each source should improve a durable set of pages rather than produce another disposable chat answer.

  • Raw source material stays separate from finished wiki pages
  • Concept pages collect reusable ideas across many sources
  • Open questions hold claims that are not supported well enough yet
02

The folder model

Instead of asking an AI for one-off answers, you keep raw material in one place and compile durable wiki pages that can be searched, linked, and revised.

  • raw/ keeps articles, transcripts, papers, and original notes
  • wiki/ holds source notes, concept pages, entity pages, syntheses, and indexes
  • schema/ defines frontmatter, citation rules, confidence labels, and page types
  • prompts/ stores repeatable ingest, query, lint, and deepen-topic prompts
03

The workflow

A useful personal wiki repeats three operations: ingest new sources, query the current wiki, and lint for weak links, unsupported claims, and outdated pages.

  • Ingest turns a source into source-backed Markdown pages
  • Query uses the current wiki as context instead of starting from scratch
  • Lint keeps quality from drifting as pages accumulate
04

The beginner mistake

Most people start by asking an AI to summarize a source. That creates useful text, but not a system. Start with page types, source rules, and links so every output has somewhere to live.

Turn the idea into a working wiki page.

Paste a non-sensitive source excerpt and see the difference between a summary and an Obsidian-ready wiki page.