THE CURRICULUM

Seventeen lessons.One working product.

Four stages, all pointed at the same thing: a working product of your own. Here's what you'll be able to do by the end of each one. Some lessons are pure technique, learned on their own; others you apply straight to your product.

Get AI ready

Pre-flight

Get AI working for you
By the end you'll know how these models actually work, how to prompt them properly, how to build an agent, and how to set up one place all your AI and content run from. The groundwork, before we go near your product.
your free diagnostic, then four lessons
0
Your diagnostic (free)

A one-to-one where we find how you use AI now and where the gaps are, then plot your path through the course. You leave knowing your starting point.

1
What you need to know about AI

How these models actually work: what they know, why they make things up, and when to reach for a lighter or heavier one. The mental model everything else rests on.

2
How to prompt

Fourteen practical techniques for reliably better results, and why each one works. Repeatable, and yours from here on.

3
Building agents

When a normal chat isn't enough and an agent is: the task you'd otherwise keep re-explaining. You build your first one, kept deliberately simple.

4
Using MCP connectors to communicate between apps and AI

Give your AI one source of truth. Connect your tools to Notion so every agent reads and writes the same place, with your brand, voice and content all living there.

Discover

Mission plan

Reinvent how you work
By the end you'll have taken a real process, validating an idea, and rebuilt it around AI. You'll come out with a problem worth solving, personas you can actually interview instead of ones you just stare at, and a story map that turns your thinking into the features you'll build.
three lessons
5
Reinventing your process with AI

Take a process you already use and rebuild it around what AI genuinely makes better. You'll validate your product idea and build an agent that ranks your riskiest assumptions first.

6
Creating AI personas

Turn flat, static personas into ones you can actually interview and pressure-test your thinking against. Still a best guess, only now with a voice.

7
Communicating context with story mapping

Map your product before you design a single screen. Story mapping defines the features, and hands AI the context it needs to help you design them.

Define

Trajectory

Design it with AI
By the end you'll have used Claude Design to make your product real on screen: an identity and a tone of voice, a landing page, UI explored side by side on a wide canvas, working prototypes, and a design system built from what you tried.
seven lessons
8
Using Claude Design

The basics of Claude Design, what it's good for and what it isn't, walked through in depth.

9
Designing a visual identity

Create a visual identity, captured in a one-sheet you'll apply to everything: a logotype and mark, a type ramp, and a colour palette.

10
Using AI to keep coherence - tone-of-voice guide

Build a tone-of-voice guide for your brand and wire it into Notion so Claude Design can read it. This one leans on the prompt and agent skills you've already learned.

11
Concept design in Claude Design - create a web landing page

Write the copy in Claude chat, build the page in Claude Design. A marketing landing page that frames your idea before you design the product itself.

12
Product design with Claude Design - Designing UI

Use Claude Design the way you'd have used Figma: multiple UI ideas side by side on a wide canvas, worked up from your story map.

13
Prototyping with Claude Design

Take your static designs and add real interactivity, using JavaScript libraries and the open-source ecosystem to make the most of them.

14
Design system

Build a design system for your product, extrapolated from your UI experiments. Choose your path: the Claude ecosystem, or connect Figma if that's where your team lives.

Develop

Build

Make it real
By the end you'll have set up a dev studio, handed your designs to Claude Code, and built a working proof of concept. The thing you came here to make.
three lessons
15
Dev studio setup

Set up Claude Code, GitHub and Vercel, and learn to run and test your build locally. Your dev studio, ready to go.

16
Design to dev handoff

Take your Claude Design files into Claude Code and start turning them into a working build.

17
Build the proof of concept

Delegate real build tasks to Claude Code and manage an AI that writes and ships code, keeping your judgement over what it produces. You end with a finished proof of concept.

WHAT YOU GET

A workbook for every lesson, applied to your own product

Every lesson comes with a workbook you apply to your own product. On the full programme you also get a live consultative session at each stage, plus my personal review of your work as you build.

Ready to build?

Bring one idea and leave with a working product of your own. After seventeen lessons, you'll know AI.