Learning & growth

New Subject → Working Knowledge

The problem

You need to be credible on a new subject by next week, and reading randomly for ten hours leaves you with familiarity but no usable understanding.

Who it's for
Students, Career changers, Consultants, Anyone briefing up fast
What it produces
A sequenced learning path, active-recall checks, and a written explanation that proves you understand it.
What you need
The subject; What you need to be able to do with it; Time available
Tools
Gemini · Claude · ChatGPT · Notion
Level
Intermediate
Format
6 steps · Intermediate

The workflow — 6 steps

  1. Step 1

    Define the competence, not the curriculum

    State the specific task you must perform. Learning paths built from a task are a fraction of the size of ones built from a syllabus.

    I need to {specific task} by {date}. Do not give me a syllabus. Instead: what is the minimum set of concepts required to do exactly that task competently, and what can I safely skip for now? Explain what I lose by skipping each.
  2. Step 2

    Build the dependency order

    Concepts have prerequisites. Learning them out of order is why the material feels harder than it is.

    Arrange those concepts in strict dependency order — nothing appears before what it depends on. For each: why it matters for my task, what it depends on, and how I will know I have got it.

4 more steps in the full workflow

The remaining steps include the exact prompts, the Notion template and the worked example. They're part of the AI Workflow System — a one-time purchase, no subscription, 30-day money-back guarantee.

What changes when you run it

Before

Ten hours of scattered reading and videos; can recognise the terms, cannot use them under questioning.

After

A dependency-ordered path of 9 concepts, each applied to a real case, plus a written explanation that survives being challenged.

Free prompts used in this workflow

Prompts are the ingredients; this workflow is the recipe. Each of these is free to copy.

Browse the full free prompt library →

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