Live sessions, everyone in
Each module runs as a live, hands-on session of two to three hours, with the whole team building at the same time and me in the room to unblock them.
One shared way of working with AI, built by doing real product work.
Tight timelines and gaps in skills push teams to ship the first idea that works. AI fills those gaps, so your team can explore further and chase the ideas they’d normally drop. This course teaches them how, together.
Most AI training is passive and focused on tools. I focus on people and outcomes, so your team learns to work differently and delivers better results together.
Your team has sat through webinars and read the threads. They've dabbled with AI, but that's not the same as using it day to day, under pressure to deliver.
I’ve used AI on commercial projects for the last three years, and developed design ops approaches that help product teams make AI part of how they work.
Every person fills in the diagnostic questionnaire, then has a 30-minute call with me. This gives me a clear understanding of where they are, their AI maturity and what to focus on. As a design leader, you come away with a map of where the whole team sits on the AI Native ladder, and where the effort will pay off most.
That map shapes the curriculum before we start.
Your team learns together, out loud, building the same habits as they go.
Each module runs as a live, hands-on session of two to three hours, with the whole team building at the same time and me in the room to unblock them.
Everyone works on the same product, so you can put the results side by side and see how differently AI responds to each person's brief.
Round robins, testing each other's prototypes and sharing work in turn. Hearing how colleagues use AI is half the value.
We work inside your stack and your IT policies. If a connector is blocked, we switch to one that isn't, so the team learns on the setup it actually has.
Where it helps, we bring in your design system, research and past work, so what the team builds carries straight back into the day job.
The diagnostic map sets the weighting, so the sessions spend longest where your team has the most to gain.
A team might be designers, product managers or a mix of both. Each discipline has its own curriculum, and your team follows the one that fits.
From how AI actually works, through research, prototyping and design systems, to a spec and a working proof of concept built in Claude Code.
See the designer curriculumThe PM route is being written now, weighted towards the design and build craft furthest from a product manager's day job.
See the PM path
I’m Darren, aka ProtoPilot. I’ve been a designer for 35 years, and for the last 10 I’ve taught design, tools and process.
I’ve led teams on products including Windows 11, Lloyds and NatWest banking, Channel 4’s streaming app and Amazon’s smart home devices. For the last three years I’ve used AI on commercial projects to research, design, prototype and build. Now I teach the methods I use, review your work myself, and answer questions on Slack between sessions.
The course run privately for your team and shaped around it: weighted to your team’s capability, on a schedule you decide, and built on your own design system and projects if you’d like. Best when you want the whole team to learn together and come away working more consistently.
Leading a design team? Book a 30-minute intro call. We’ll talk through where your team is with AI, what you want them building and how many people, then I’ll come back with a shape and a plan.
Book an intro call