AI fluency, taught properly
Feel at home working with AI.
Short, hands-on courses that teach the durable skills of working with AI — the thinking that outlasts the tool.
One small lesson at a time. Real projects. A certificate that means you did the work.
The tools will keep changing. The thinking doesn't. We teach transferable judgement — so you become fluent, not dependent.
The method
Four habits, practised until they're yours.
Every course builds the same four habits of fluent AI work — whatever the tool, whatever the task.
Delegation
Decide what to hand to AI, what to keep, and how to split the work so review stays easy.
Description
Say what you actually want — context, constraints, and the shape of a good answer.
Discernment
Judge what comes back. Spot the confident nonsense before it spots you.
Diligence
Stay accountable for the result — verify, disclose, and keep your own judgement sharp.
How it feels
Short, hands-on, unbranded.
Short
One small lesson at a time. Each fits in a coffee break and ends with something you can use.
Hands-on
Every lesson has a try-it, a project, or a checkpoint. You learn by doing, not by watching.
Unbranded
Principles that work in any tool. When the tools change — and they will — your skills carry over.
The curriculum
Start with Foundations. Go wherever your work goes.
AI Fluency: Foundations
~10 hours of content + 4–6 hours of project work
AI Security & Prompt Hacking
4–6 lessons
AI for Code & Development
~16 hours + capstone project
Building with the API
~3–4 hours
AI for Image & Visual Design
~12 hours + capstone
Local AI
~2–3 hours
AI for Video & Filmmaking
~14 hours + capstone short film
AI for Designers (UX/UI)
~2–4 hours
AI for Marketing, Content & Business Operations
~12 hours + capstone marketing system
AI for Education / Students
~1–2 hours
AI for Personal Productivity
~8 hours + personal system project
AI for Accessibility
30–60 minutes
AI for Research
~8 hours + research project
What we teach
- Judgement you can defend — when to delegate, when to verify
- One universal prompt structure, not a thousand recipes
- Reading model output critically, like an editor
- Workflows that survive the next model release
What we skip
- Prompt listicles and “500 magic prompts” packs
- Tool-of-the-week churn and breathless launch coverage
- Hype cycles, doomerism, and 10x anything
- Certificates for watching videos
Pricing