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LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

@oh-ashen-one
oh-ashen-one / clawdbot-security-cron.md
Created January 26, 2026 17:37
🔒 Daily Security Audit Cron for ClawdBot - Auto-detect misconfigurations before hackers do

🔒 Clawdbot Daily Security Audit Cron

Drop this into your Clawdbot and it'll check your setup daily and alert you to any security issues.

The Cron Job

Name: daily-security-audit Schedule: 0 9 * * * (9am daily)

Prompt:

@cywf
cywf / chatgpt-grammer.md
Last active January 18, 2023 21:15
Teaching ChatGPT to identify grammatical errors

Convo with ChatGPT


cywf

hey there, could I have 5 vocabulary words for today?

ChatGPT