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OH HAI

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OH HAI
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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.

@Olanetsoft
Olanetsoft / workflow.md
Created February 25, 2026 17:15
Workflow Orchestration - CLAUDE

Workflow Orchestration

1. Plan Node Default

  • Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions).
  • If something goes sideways, STOP and re-plan immediately—don't keep pushing.
  • Use plan mode for verification steps, not just building.
  • Write detailed specs upfront to reduce ambiguity.

2. Subagent Strategy

@ggerganov
ggerganov / iss-docking.js
Created May 16, 2020 12:30
Automatic ISS Docking in Javascript
// Auto-pilot for docking with the International Space Station
//
// The program uses Artificial Intelligence and Decision Trees (i.e. basic kinematics and a bunch of if statements)
// to perform docking with the ISS from any starting position.
//
// To use it:
// - open the SpaceX simulation website: https://iss-sim.spacex.com/
// - open the Developer's console and paste the contents of this file
//
// Demo: https://youtu.be/jWQQH2_UGLw
@osipxd
osipxd / !paper-versions.md
Last active April 5, 2026 18:32
Paper versions links