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

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

Source references

  • [src-013] Nate Herk — “Build & Sell Claude Code Operating Systems (2+ Hour Course)” (2026-05-01)

Robin Cartier perspective

This page is part of Robin Cartier's working AI knowledge graph: a practical research layer for production AI, recommendation systems, experimentation, GEO, and agentic web readiness.

The useful next step is to connect this concept back to applied product leadership and operating models.

Recommended next

Keep reading from this thread

From 491 indexed pages and articles.

  1. Wiki concept Four C’s of an AI Operating System Four C's of an AI Operating System The sequential framework Nate Herk uses to build and teach a personal AI Operating System (AIOS) in Claude Code Related by nate
  2. Wiki concept Skill Feedback Cycle An iterative quality loop for improving Claude Code skills: invoke → watch → give feedback → skill updates itself → repeat. Related by framework
  3. Insight AI Beyond POCs How enterprise AI moves beyond proofs of concept through ownership, governance, measurement, adoption, and production operating models Readers have engaged with this next