FOR PRODUCT MANAGERS · NO AI EXPERIENCE NEEDED
Ship the rightthing first.
Reinvent how you work as a PM, and own the idea from research to working prototype.
You research the problem, spot the market opportunity, and you're responsible for what ships. But at every stage you rely on someone else to validate ideas you're uncertain of. AI changes that. Now you can explore ideas yourself, without waiting for design or engineering resource. The benefit for the designer and engineer is a prototype instead of a 40-page PRD. AI enables you to reinvent your process and extend your capability with instant skills you'd never have time to learn. The result? You'll ship the right thing first.
No fixed cohorts. Your path starts with a free hour together.
go from spec to shipped
THE SHIFT
Carry the thinking all the way
You've spent your career deciding what to build and handing it to someone else to make. Then waiting. Sometimes it comes back wrong, sometimes it never comes back at all.
AI changes that. You can research an idea and build a working version yourself, before it ever reaches a roadmap. The thinking was always your strength. Now you can carry it all the way to a real product, without waiting on anyone.
01 WAYPOINT
Where the journey starts
Your first step is free
Beginning your mission starts with a diagnostic: a free hour with me, one to one. We map your path through the course, what to skip, what to go deep on, the version that fits you. You come away with a personal report whether you go on to the course or not.
02 WAYPOINT
What you'll make
Build one real product, end to end
This is the PM track, built around what you already do. You bring one idea, anything from an app to a service, and take it from a concept to a working product of your own. We follow the Double Diamond you already know, weighted towards the half where the making actually happens. The sixteen lessons are the stops along the way.
DiscoverDefineDevelop
03 WAYPOINT
The stops on the way
Sixteen lessons across five stages
Here's the whole route. Some lessons are pure technique, learned on their own; others you apply straight to your product.
Get AI ready
Foundations
Get AI working for youBy the end you'll know how these models actually work, you'll have one workspace where you and AI both read and write, and you'll know how to hand AI the context a design task actually needs. The groundwork, before we go near the design.
your free diagnostic, then three 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
AI technology foundations
Do you know how AI actually works? The foundational knowledge you need to use it as a creative tool: what it knows, why it makes things up, and when to reach for a lighter or heavier model.
2
Design workflows with MCP
MCP is the key to creative collaboration. You set up a human/AI design workspace and explore some neat ideas on how to work together in it.
3
Communicating context to AI
Established UX and product techniques for giving AI the right context in the right way, so it fully understands the design task at hand. You build a story map with Claude as a live collaborator on the board.
Explore
Concept
Design it with AIBy the end you'll have concepted an idea as a full design exploration, from static concepts through to interactive studies, and made AI design with your design system instead of reverting to its own defaults. PMs go deepest here, on the design and UX craft furthest from the day job.
two lessons
4
Concept design with AI
Use Claude Design to concept multiple ideas through mini experiments, from static design concepts to interactive studies, learning how to break design down into a full design exploration.
5
Designing with a design system
How do you make sure AI is using your design system when it creates output? Setup and execution of working with an established design system.
Amplify
Specialise
Make AI work the way you doBy the end you'll have built skills and agents specific to product design, and you'll know how to judge what AI hands back rather than taking it on trust.
three lessons
6
Creating and using AI skills
Skills are a powerful way of making AI specialised. You build on what you already know and create skills specific to product design.
7
Creating and using AI agents
How to think about agents in a design context, and how to build ones that practically increase your output.
8
Evaluating AI output
AI doesn't always tell the truth, but how would you know? The best way to make sure it's accurately using your design system and your brand.
Prototype
Prototype
Make it real and testableBy the end you'll have taken your concepts through to an advanced prototype you can share and test with users, one that's indistinguishable from a real product and can act as your source of truth for design.
three lessons
9
Interactive prototyping level 1
Take your concept designs from experiments to a working prototype, with plenty of tips and tricks for building fast while reducing complexity and saving tokens along the way.
10
Dev studio setup
Create your own personal engineering team and workspace, ready for advanced prototyping.
11
Interactive prototyping level 2
A practical session building an advanced prototype you can share and test with users, indistinguishable from a real product and able to act as your source of truth for design.
Go further
Extended
Into the team, and into the buildBy the end you'll have rebuilt your own design process around AI, closed the gap between your design system and the code it ships as, and taken a prototype all the way to a working proof of concept.
five lessons
The extended track. Five deeper lessons for designers who want to go past the prototype, into the systems and the build. We decide together at your diagnostic whether they're part of your path.
12
Reinventing process with AI
Apply everything you've learned to build a human-led, AI-powered design process, balancing human judgement against AI automation.
13
Aligning design and code systems
Aligning systems between code and Figma, porting interface code back into Figma so the library reflects what's actually built.
14
Structuring Figma for AI
Organising files, components and naming so the library is legible to a model rather than only to a designer.
15
APIs, databases and more
Understanding the basics of technical architecture: how data is stored, how services talk to each other, and enough to make good calls about your own.
16
Turning your prototype into a PoC
A hands-on session building a working proof of concept, delegating real build tasks to Claude Code while keeping your judgement over what it produces.
Join the waitlist
You finish with a working product you built yourself.
04 WAYPOINT
At every stop
Your AI co-pilot keeps up with you
After each session it emails you a branded deck in your own words: where you are, what you've cracked, what to focus on next. It reflects back what you actually said, not what it thinks you want to hear.
Real decks already sent to students, names and identifying detail removed.
WHO'S FLYING WITH YOU
Two guides, the whole way
Me
Thirty years building products, alongside you at every stage. I review your work myself, and you've got me on WhatsApp throughout, so you're never stuck waiting.
Direct on WhatsAppYour AI co-pilot
A personalised AI set up just for you. It tracks your build and emails a branded deck after every session, in your own words, so you always know where you are and what's next.
WHO IT'S FOR
Built for PMs who want to build
If one of these sounds like you, you're cleared for take-off.
Build it, don't just spec it
Product managers who want to build and try out their ideas themselves, instead of only writing them up.
Tired of the gap
For anyone tired of the gap between deciding what to build and seeing it exist.
New to AI? Perfect
Never touched AI, or dabbled and found it frustrating? We'll decode it together until you've mastered it.
TAUGHT BY SOMEONE WHO'S DONE THE JOB
I've spent 30 years building products, in-house and on the tools, at Microsoft, Channel 4, Sainsbury's, NatWest and E.ON, across research, definition and delivery. For the last two years I've rebuilt the way I work around AI, on real 0-to-1 products. You're learning what I actually do, from someone still doing it.
Microsoft
Channel 4
Sainsbury's
NatWest
E.ON
I review your work myself
WHAT'S INCLUDED
Sixteen lessons, one product, with me alongside you
All sixteen lessons across five stages, and you build your product as you go, with live check-ins from me at every stage.
- Every lesson and workbook
- A live consultative session at each stage
- My personal review of your work as you build
- A working method you keep for good
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 doors open
- First pick of the opening intake
- One email when it's ready. No spam.
Places are limited, since I work with each person directly.
Ready to build?
Bring one idea and leave with a working product of your own.
this is the way