Three M's of AI
Nate Herk's philosophical framework for adopting AI productively — Mindset, Method, and Machine — presented as the prerequisite to building a technical AIOS.
Key points
- Mindset — the mental habits that make AI adoption stick: Default Shift Habit, Function Breakdown Habit, and Curiosity Rule [src-013]
- Method — what to automate and how much: the 60/30/10 split (60% deterministic, 30% AI-assisted, 10% human review), and how to scope automation bets [src-013]
- Machine — the technical implementation: Claude Code, skills, connections, routines [src-013]
Most people jump straight to Machine and skip Mindset and Method — which is why most AI projects stall after initial excitement [src-013].
Related concepts
- Default Shift Habit — first mindset pillar
- Function Breakdown Habit — second mindset pillar
- Curiosity Rule — third mindset pillar
- Four Cs Aios — the Machine layer in detail
- 60 30 10 Automation Ratio — the Method layer
Source references
- [src-013] Nate Herk — "Build & Sell Claude Code Operating Systems (2+ Hour Course)" (2026-05-01)
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From 500 indexed pages and articles.
- Wiki concept Default Shift Habit The practice of reflexively asking "how could AI do 30%+ of this?" before starting any task — replacing the human default of doing Related by 013
- Wiki concept Curiosity Rule The discipline of never accepting AI output without asking why it was built that way — treating AI as a mentor that pushes back Related by 013
- Wiki concept Function Breakdown Habit The practice of decomposing any role, project, or workflow into its smallest atomic tasks before evaluating automation potential. Related by 013