Function Breakdown Habit

The practice of decomposing any role, project, or workflow into its smallest atomic tasks before evaluating automation potential. One of the three mindset pillars in the Three M’s of AI framework.

Key points

  • Works at any granularity: a YouTube channel, a client project, a role on your team [src-013]
  • The decomposition reveals which sub-tasks are deterministic (fully automatable), which benefit from AI assistance, and which require human judgment [src-013]
  • Example: a YouTube video is a monolith that “cannot be automated” — but broken down into ideation, scripting, packaging, description, comment replies — many chunks are independently automatable [src-013]
  • Reusability: once a sub-task is automated as a skill, it can be triggered from multiple contexts [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.

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