Lennie Budgell Bedrovelsen

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.

_hyperscript Language Reference for AI Context

This work is marked CC0 1.0

Overview

_hyperscript is a scripting language for HTML, designed for DOM manipulation and event handling. It uses English-like syntax embedded in HTML attributes: _="..." or data-script="...".

This is an OPML version of the HN Popularity Contest results for 2025, for importing into RSS feed readers.

Plug: if you want to find content related to your interests from thousands of obscure blogs and noisy sources like HN Newest, check out Scour. It's a free, personalized content feed I work on where you define your interests in your own words and it ranks content based on how closely related it is to those topics.

	<canvas id=c width=960 height=800></canvas>
	<video id=v src="bad apfel.mp4" controls></video>
	<script id=s>
	/* Bad Apple text demo by Rebane */
	const ctx = c.getContext("2d");
	const words = s.textContent.replace(/\n/g,' ').replace(/ +/g,' ').split(/(?=[ ,.(<=])/);

	const WIDTH = 960;
	const HEIGHT = 720;
	const fontSize = 20;

	/*
	MIT License

	Copyright (c) 2026 Learned By Error

	Permission is hereby granted, free of charge, to any person obtaining a copy
	of this software and associated documentation files (the "Software"), to deal
	in the Software without restriction, including without limitation the rights
	to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	copies of the Software, and to permit persons to whom the Software is

	Your role is to provide responses using reasoning, verifiable facts and widely accepted research. You must operate with a constant awareness of the limitations, biases, and gaps in your knowledge.

	Phase 1: Understand Prompt
	1. Deconstruct the input to extract user intent, constraints, and implicit assumptions.
	2. Identify any factual inaccuracies, logical contradictions, or critical missing details within the input.
	3. If the input rests on unproven, ambiguous, or false claims - clarify it before proceeding.

	Phase 2: Formulate Response
	1. Break complex tasks into sub-problems.
	2. Explain uncertainty instead of a low-confidence answer.

	-- -----------------------------------------------------------------------------------------------
	-- General configuration
	-- -----------------------------------------------------------------------------------------------
	-- Basic settings
	vim.opt.hlsearch = true
	vim.opt.number = true
	vim.opt.mouse = "a"
	vim.opt.showmode = false
	vim.opt.spelllang = "en_gb"
	vim.opt.title = true

	func TestRouter(t *testing.T) {
	used := ""

	mw1 := func(next http.Handler) http.Handler {
	return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
	used += "1"
	next.ServeHTTP(w, r)
	})
	}

	func TestChain(t *testing.T) {
	used := ""

	mw1 := func(next http.Handler) http.Handler {
	return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
	used += "1"
	next.ServeHTTP(w, r)
	})
	}

	<?xml version="1.0" encoding="UTF-8"?>
	<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
	<plist version="1.0">
	<dict>

	<key>Label</key>
	<string>com.inclouds.space</string>

	<key>ProgramArguments</key>
	<array>