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How to Automate Business Operations with a Centralized AI 'Second Brain' in GitHub

Build a highly efficient, AI-powered personal operating system by centralizing all your business context—notes, data, and prompts—into a GitHub monorepo. This allows AI assistants like Claude or Gemini to consistently and accurately automate complex tasks like writing proposals and creating content.

From How I AI

How I AI: Hamel Husain's Guide to Debugging AI Products & Writing Evals

with Claire Vo

How to Automate Business Operations with a Centralized AI 'Second Brain' in GitHub

Tools Used

Cursor

AI-first code editor

Claude

Anthropic AI assistant

Claude Code

Claude for coding tasks

Gemini

Google AI assistant

Step-by-Step Guide

1

Create Dedicated AI Projects for Business Functions

Use an AI like Claude to create separate, dedicated 'projects' or contexts for each part of your business (e.g., copywriting, legal, proposals). Each project should contain detailed instructions, style guides, and examples relevant to that specific task.

2

Establish a GitHub Monorepo as a Central 'Second Brain'

Create a private GitHub monorepo to store all your data sources, notes, articles, and prompts. This acts as a single source of truth for all your business and personal context.

3

Provide AI Access and Contextual Rules

Point your AI coding assistants (like Claude Code or Cursor) to the monorepo. Within the repo, create a set of 'rules' or instructions that guide the AI on where to find specific context for different tasks, making its output more accurate and relevant.

Prompt:
Example of a style guide rule: 'get to the point, writing short sentences'. 
Example of a contextual rule for the AI: 'if you need to write, look here [path to copywriting folder]'.
Pro Tip: This monorepo approach prevents vendor lock-in, as you can point any new AI tool to the same centralized source of context, maintaining consistency across your workflows.
4

Automate Content Repurposing with Multimodal Models

Build custom software that leverages your monorepo and multimodal models like Gemini to transform content formats. For example, create a script that takes a YouTube video URL and generates an annotated presentation by extracting the transcript, screenshotting slides, and generating summaries for each slide.

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