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 Ms 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
- Three Ms Of AI — parent framework
- Default Shift Habit — first habit: assume everything is automatable until proven otherwise
- Curiosity Rule — third habit
- Six Step Skill Building Framework — what to do once you've identified a sub-task worth automating
- 60 30 10 Automation Ratio — how to allocate automation coverage across the decomposed tasks
Source references
- [src-013] Nate Herk — "Build & Sell Claude Code Operating Systems (2+ Hour Course)" (2026-05-01)
Recommended next
Keep reading from this thread
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 habit
- Wiki concept Three M’s of AI 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 Related by breakdown
- 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 breakdown