personal-os
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How do you build an AI that runs your life?
People are solving this problem in wildly different ways. Some use Claude Code with MCP servers. Others chain GPT with Zapier. A few write custom agents from scratch.
self.md documents what actually works. We test approaches, compare tools, and publish the setups that survive real use.
Case Studies
How real people build their AI workflows
Boris Cherny
Claude Code creator, parallel agents
Andrej Karpathy
Vibe coding inventor
Sahil Lavingia
Gumroad CEO, 41% AI code commits
Lance Martin
Self-learning memory system
Pieter Levels
AI indie hacking, $3M+/year solo
Where to start
Depends on your situation:
If you’re a developer — Start with Claude Code setup . Terminal-native, MCP servers for integrations, runs locally.
If you want something quick — Quick start guide gets you a basic working setup fast.
If you’re evaluating options — Read the tool comparison first. Different tools suit different workflows.
If you tried before and it didn’t stick — Check what to delegate . The problem is usually scope, not tools.
Concepts
What is a personal OS?
The idea, not tied to any specific tool
Architecture patterns
Five layers that appear in most working systems
What to delegate
Where AI helps vs. where it gets in the way
Tool comparison
Claude Code vs. GPT vs. Gemini vs. custom