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Capabilities/Capability 3

The New Literacy Stack

Ask, decompose, verify, communicate.

The new core skills are model-agnostic: asking better questions, breaking problems down, verifying and synthesising outputs, and communicating clearly. AI amplifies analytical and systems thinking — it doesn't replace it.

Counters:Vague prompts · blind trust in outputs · unclear thinking

The core idea

1

Asking better questions.

2

Breaking problems down.

3

Verifying outputs and synthesising.

4

Communicating clearly — model-agnostic skills.

5

Amplify analytical and systems thinking with AI.

Why this matters

Literacy used to mean reading and writing. The new literacy stack is the set of skills that let you work *with* intelligence: framing sharp questions, decomposing messy problems into solvable parts, critically verifying and synthesising what AI produces, and communicating the result clearly. These are model-agnostic — they work no matter which AI you use, and they don't go stale when the tools change.

Crucially, AI doesn't replace thinking — it amplifies it. Give a strong thinker AI and they pull further ahead; give it to someone who can't frame a problem or judge an answer, and they get confident nonsense faster. The skill that matters is using AI to extend your analytical and systems thinking, while staying the verifier and synthesiser in the loop.

Your path: from start to compounding

Climb at your own pace. Each rung is a real, finishable step.

Start today

Learn to ask and to verify.

  1. 1
    Ask better questions
    Give context, constraints, examples and a clear goal. Iterate — the first prompt is a draft.
  2. 2
    Always verify
    Treat AI as a brilliant, fallible intern. Check its facts, reasoning and sources before you rely on them.
  3. 3
    Decompose problems
    Break big asks into parts. AI is far stronger on well-scoped sub-problems than vague mega-prompts.

Go deeper

Synthesise and communicate.

  1. 1
    Synthesise across outputs
    Combine multiple AI responses and sources into a coherent, judged conclusion — that's the human value-add.
  2. 2
    Sharpen your writing
    Clear communication is leverage: it makes your prompts better and your results usable by others.
  3. 3
    Think in systems
    Use AI to map causes, effects and feedback loops — extend your analytical reach, don't outsource it.

Compounding

Make AI a thinking partner.

  1. 1
    Build a questioning practice
    Curate prompts and frameworks that consistently produce sharp thinking for your work.
  2. 2
    Teach it your context
    Feed AI your documents, style and goals so it amplifies *your* judgment, not generic answers.
  3. 3
    Stay the synthesiser
    As outputs multiply, your edge is selecting, combining and deciding — keep that muscle strong.

Watch & learn

A practical primer on this capability, plus trusted channels to go deeper.

YouTube

Prompting & AI literacy, hands-on

AI explainers

Free to access

Guides, tools & kits

Everything you need to take the next step — all free to access.

Tool

Professor Bot — educational insights & support

Potential.org AI tool

From the Stay Ahead hub

Free to access
Guide

Learn Prompting — free open guide

Free to access
Guide

Prompt engineering overview

Anthropic Docs

Free to access