FOR FOUNDERS · NO TECHNICAL BACKGROUND NEEDED

Make youridea real.

The playbook for creating your own in-house digital agency.

You have a cool idea for a product or service, but you need a whole team to prove it. Designers, developers and product managers are the hats you have to wear, but you don't have all those skills. No one does. AI changes that. It gives you instant skills and a digital agency in your pocket. In this course I'll show you how to assemble your own digital agency with AI, so you can take your idea to proof of concept and get the funding you need to take it to the next stage. Agency, assembled.

Join the waitlist See the curriculum

You apply first, so I can check it's a fit. A few founders at a time, so the support is real.

something real to put in the room

THE PROBLEM THIS SOLVES

The pre-seed catch-22

Pre-seed is a catch-22. You need money to build something that proves the idea, and you need something that proves the idea to raise the money.

AI breaks that. With the right method, and someone who's built and shipped products for thirty years alongside you, you can build a real proof of concept first, and go to investors with the thing, not a deck about it.

WHAT YOU'LL WALK AWAY WITH

A product, not a pitch deck

You're here for the result. Here's what you'll have in hand at the end.

A working product

Built around your real idea, that someone can actually use.

Proof beyond a pitch

A working product that shows the idea is real, not just described.

A product that demos well

So it presents cleanly when you put it in front of an investor.

A clear product story

The one-line version of what you've built and why it matters.

The skills to keep going

After the programme, so you're not dependent on anyone to keep improving it.

HOW IT WORKS

Six stages, pointed at one thing

The founders route runs six stages — foundations, discovery, brand, design, prototype, build — and everything points at one thing: getting your product to a state you'd be proud to show. You get more support than a course gives, because you're here to build the product, not to learn design for its own sake.

Shape it

Pin down the idea, the user and the problem worth solving.

Define it

Decide what the first version must do, and what it can leave out.

Build it

Make the product with AI, with hands-on help at every turn.

Show it

Sharpen the demo and the story, and get it ready to put in front of investors.

Support the whole way

Throughout, you get a personalised AI co-pilot tracking your build and emailing you a branded deck at each step, and me on WhatsApp whenever you need me.

Direct on WhatsApp

THE CURRICULUM

Nineteen lessons. One working product.

Six 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

Foundations

Get AI working for you

By the end you'll know how these models actually work, how to prompt them properly, how to tell good output from bad, how to set up one place all your AI and content run from, and how to make AI specialised with skills. The groundwork, before we go near your product.

your free diagnostic, then five lessons

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.

AI technology foundations

How these models actually work: what they know, why they make things up, and when to reach for a lighter or heavier one. The foundational knowledge you need to use AI as a creative tool.

How to prompt

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

Evaluating AI output

AI doesn't always tell the truth, but how would you know? How to judge what comes back, spot where it's inventing, and hold it to your standard rather than its own.

Design workflows with MCP

Give your AI one source of truth. Connect your tools to Notion so everything reads and writes the same place, with your brand, voice and content all living there. Your human/AI workspace, set up properly.

Creating and using AI skills

Skills are how you make AI specialised. You'll build your own and use them across everything that follows.

Discover

Discovery

Find the thing worth building

By the end you'll have a hypothesis you can actually test, research that tells you whether you're right, and a map of the product that turns your thinking into the features you'll build.

three lessons

Creating a hypothesis

Turn a hunch into something testable. What you believe, who it's for, and what would have to be true for it to work.

Building an agent to research your product idea

Build an agent that goes and finds out — ranking your riskiest assumptions first and pressure-testing the idea before you spend a month on it.

Mapping your product

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.

Brand

Give it a voice and a face

By the end you'll have a brand with something to say, a tone of voice AI can write in, and a visual identity you'll apply to everything that follows.

three lessons

Building your brand

The strategy underneath the logo: what you stand for, who you're for, and why anyone should care. The thinking that makes everything after it easier.

Tone of voice with AI

Build a tone-of-voice guide for your brand and wire it into Notion so AI can read it. This one leans on the prompt and skill work you've already done.

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.

Define

Design

Make it real on screen

By the end you'll have designed your product with AI — multiple directions explored, one chosen, and a design system that keeps AI honest instead of letting it invent its own.

two lessons

Designing your product idea with AI

Concept multiple ideas through mini experiments, from static concepts to interactive studies — UI worked up side by side on a wide canvas, from your story map. Then choose your direction.

Creating a design system

Build a design system for your product, extrapolated from your UI experiments — then make AI actually use it rather than reverting to its own defaults.

Prototype

Prototype and test

Put it in front of someone

By the end you'll have a working prototype and real evidence about whether it holds up.

two lessons

Prototyping with AI

Take your designs from experiments to a working prototype you can share, with tips and tricks for building fast while reducing complexity and saving tokens along the way.

Test and learn with AI proto-personas

Test your prototype against proto-personas built from your earlier research. Fast, cheap signal on what's confusing and what's missing — a first pass, not a substitute for real users.

Develop

Build

Ship it

By the end you'll have set up a dev studio, handed your designs to Claude Code, built a real backend, and put a working proof of concept live. The thing you came here to make.

four lessons

Dev studio setup

Set up Claude Code, GitHub and Vercel, and learn to run and test your build locally. Your own engineering team and workspace, ready to go.

Turning your prototype into a PoC

Delegate real build tasks to Claude Code and manage an AI that writes and ships code, keeping your judgement over what it produces.

Create the backend (APIs and databases)

The basics of technical architecture: how data is stored, how services talk to each other, and enough understanding to make good calls about your own.

Deploying live (Vercel)

Get it on the internet. Deploy, check it works, and share a real URL with real people.

Join the waitlist You finish with something real to put in the room.

Straight talk

I can get you to a real, working product that shows your idea works. Whether you raise comes down to your market, your team and your timing, and that part is yours. What you'll have is the thing that gets you in the room.

TAUGHT BY SOMEONE WHO'S SHIPPED FOR 30 YEARS

I've designed and built products at Microsoft, Channel 4, Sainsbury's, NatWest and E.ON, and rebuilt the way I work around AI on real 0-to-1 products. I'll be alongside you for the whole build, helping you make something investors will take seriously.

Microsoft Channel 4 Sainsbury's NatWest E.ON

let's build your case

WHAT'S INCLUDED

One programme, from idea to investor-ready

From idea to a product you can demo, with hands-on support throughout.

Hands-on guidance at every stage of the build
Your product built with AI, around your real idea
A demo-ready finish, polished to show
A product story you can take to investors

NOW BOARDING

Enrolment opens soon. Get on the list.

COMING SOON JOIN THE WAITLIST

I'm finalising the first intake. The 5-minute scorecard is your boarding pass — finish it and you're on the list, with your AI Native score and your place in line.

First to know when applications open
First pick of the limited founder places
One email when it's ready. No spam.

Join the waitlist

Apply to check it's a fit and to see current availability.

Ready to build?

From idea to a product investors can see.

Join the waitlist