Eleanor Berger intellectronica

## david-c-baker-the-business-of-expertise-guide.md

      
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                intellectronica
                / david-c-baker-the-business-of-expertise-guide.md
            
            
              Created
              March 22, 2025 15:06
            
              
                Guide to David C. Baker's The Business of Expertise - Deep Research Ensemble
              
          
    David C. Baker’s The Business of Expertise – A Comprehensive, Actionable Guide

Introduction

David C. Baker’s The Business of Expertise is a powerful handbook for entrepreneurial experts aiming to build successful, sustainable ventures. The key premise is that properly positioned expertise – combined with consistent pattern recognition, focus, and ongoing business savvy – transforms specialised knowledge into wealth and long-term impact.
Baker frames expertise as more than a skill or bank of knowledge. Rather, it’s a well-honed ability to recognise and interpret patterns in specific contexts, allowing experts to develop meaningful insights. These insights, once clearly packaged and effectively delivered, command premium fees and inspire loyal, long-standing client relationships.
This guide synthesises three separate summaries of Baker’s book, distilling the core concepts, strategies, and practical steps for entrepreneurial experts who want to convert their insight into market impact and financ

  
## anki-search-cheat-sheet.md

      
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              March 20, 2025 21:44
            
          
    Anki Search Syntax Cheat-Sheet


Overview
Description


Purpose
Quick reference for finding cards/notes using Anki’s search operators. Combine operators (e.g., deck:french is:due) for powerful searches.


Basic Search Operators


## reasoning-prompt-raycast-ai-command.txt
You are an expert AI engineer. You speciality is in writing excellent structured prompts for "reasoning" LLMs. Your task is to transform the input prompt into a detailed, structured prompt that will work optimally with a reasoning LLM.

When creating the prompt you should use the template below and output the prompt as Markdown (don't quote / code-fence it, output it as is).

Review the input carefully. What information can be clearly inferred from the input? Is the input complete, or are there details that are underspecified and can't be expanded reliably? Where you can infer the best instructions to inculde in the prompt from the input, use that and expand. If the user's intent isn't sufficiently clear, include the section but add the string "(( TODO ))" after the section header to indicate to the user that they need to continue editing. For example: "Additional Considerations ((TODO)" or "Context ((TODO: Add additional context to support the research))".

<template>
Goal
----
{The goal of the task}

## basic-anki-back.html
{{FrontSide}}

{{#Back}}
<div class="face" id="answer">
    <div class="target-sentence">{{Back}}</div>
</div>
{{/Back}}

## raycast-summarise-yt-ai-cmd.txt
Create a summary of a YouTube video using its transcript.

Transcript
-------
{browser-tab}

Format
-------
Format according to the template using Markdown. Don't quote it, output it so that it can be presented nicely.

## vibe.intellectronica.net.md

      
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              March 26, 2025 08:54
            
          
    vibe.intellectronica.net

A collection of Vibe Coding creations by Eleanor from intellectronica.net

... I'm working on something fancier, but for now, here's a list of my vibe coding creations ...


LISP Interpreter

Live Demo

  
## v0-git.md

      
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              Created
              March 2, 2025 22:28
            
          
    Migrating a v0.dev Project to GitHub and Vercel (Step-by-Step Guide)

Researched and generated by ChatGPT Deep Research

Overview: Vercel’s v0.dev is an AI-based tool that helps you generate a Next.js project via a chat interface. Once you’ve created an app with v0 and even deployed it on Vercel, you may want to move the code into a GitHub repository for version control and continuous deployment. This guide will walk you through exporting your v0 project’s files, pushing them to a new GitHub repo, linking that repo to Vercel for automatic deployments, and ensuring you can still use v0 for future development. We’ll also cover configuration tips and best practices along the way.
1. Exporting Project Files from v0


## wormhole.html
<!DOCTYPE html>
<!-- Vibe-coded with Microsoft Copilot (in Think Deeper Mode). -->
<html lang="en">
<head>
  <meta charset="UTF-8">
  <title>Wormhole Simulation</title>
  <!-- Load React and ReactDOM -->
  <script crossorigin src="https://unpkg.com/react@17/umd/react.development.js"></script>
  <script crossorigin src="https://unpkg.com/react-dom@17/umd/react-dom.development.js"></script>
  <!-- Load Babel for JSX transformation -->

## minesweeper.html
<!DOCTYPE html>
<!-- Vibe-coded with GitHub Copilot and Claude 3.7 -->
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Minesweeper</title>
    <style>
        @import url('https://fonts.googleapis.com/css2?family=Montserrat:wght@500;600;700&family=Poppins:wght@400;500;600&display=swap');


## readvibes.py
# Generated from a screenshot of my Readwise Reader home screen using Simon Moisselin's
# Image -> FastHTML tool ( https://simn.fr/tools/fasthtml-chat )

Container(
    DivLAligned(
        H3('Readvibes', cls='text-white text-xl font-bold'),
        DivLAligned(
            Button(UkIcon('home'), 'Home', cls='text-white'),
            Button(UkIcon('book'), 'Library', cls='text-white'),
            Button(UkIcon('settings'), 'Configure', cls='text-white'),
	You are an expert AI engineer. You speciality is in writing excellent structured prompts for "reasoning" LLMs. Your task is to transform the input prompt into a detailed, structured prompt that will work optimally with a reasoning LLM.

	When creating the prompt you should use the template below and output the prompt as Markdown (don't quote / code-fence it, output it as is).

	Review the input carefully. What information can be clearly inferred from the input? Is the input complete, or are there details that are underspecified and can't be expanded reliably? Where you can infer the best instructions to inculde in the prompt from the input, use that and expand. If the user's intent isn't sufficiently clear, include the section but add the string "(( TODO ))" after the section header to indicate to the user that they need to continue editing. For example: "Additional Considerations ((TODO)" or "Context ((TODO: Add additional context to support the research))".

	<template>
	Goal
	----
	{The goal of the task}
	{{FrontSide}}

	{{#Back}}
	<div class="face" id="answer">
	<div class="target-sentence">{{Back}}</div>
	</div>
	{{/Back}}
	Create a summary of a YouTube video using its transcript.

	Transcript
	-------
	{browser-tab}

	Format
	-------
	Format according to the template using Markdown. Don't quote it, output it so that it can be presented nicely.
	<!DOCTYPE html>
	<!-- Vibe-coded with Microsoft Copilot (in Think Deeper Mode). -->
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<title>Wormhole Simulation</title>
	<!-- Load React and ReactDOM -->
	<script crossorigin src="https://unpkg.com/react@17/umd/react.development.js"></script>
	<script crossorigin src="https://unpkg.com/react-dom@17/umd/react-dom.development.js"></script>
	<!-- Load Babel for JSX transformation -->
	<!DOCTYPE html>
	<!-- Vibe-coded with GitHub Copilot and Claude 3.7 -->
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Minesweeper</title>
	<style>
	@import url('https://fonts.googleapis.com/css2?family=Montserrat:wght@500;600;700&family=Poppins:wght@400;500;600&display=swap');
	# Generated from a screenshot of my Readwise Reader home screen using Simon Moisselin's
	# Image -> FastHTML tool ( https://simn.fr/tools/fasthtml-chat )

	Container(
	DivLAligned(
	H3('Readvibes', cls='text-white text-xl font-bold'),
	DivLAligned(
	Button(UkIcon('home'), 'Home', cls='text-white'),
	Button(UkIcon('book'), 'Library', cls='text-white'),
	Button(UkIcon('settings'), 'Configure', cls='text-white'),