Training

Handing your designers AI tools isn't a plan.

Teams are leaner and nobody has time to learn on the side. We teach AI on your live projects, so the learning is the work.

Book a 30-minute call →

Remote. Four workshops, then 30 days of support on live work.

Format
Remote, hands-on
Length
About nine weeks
Group
Up to 8 designers
You leave with
A shared skill set, in use
Day 30
A readout to leadership
The Suprema member card opening into its eleven named layers
Valet ads rendered from the website's own components
Livin's referral page: an envelope opens and a card rises
Hands holding the real thing beside each Valet pick

Built by the person teaching it: Suprema, Valet, Livin

01

The problem

The push is real. The time to learn isn't.

Leadership wants AI in every workflow. Design teams are flatter than they were, with no bench, so learning happens at night or not at all.

Meanwhile product and engineering send AI-made requirements and prototypes, and those set expectations before a designer weighs in.

So use stays uneven. A few people lean on it, most try it now and then, and nobody has agreed where it helps and where it stays out. A general AI course covers email and notes. It doesn't cover design work.

02

What changes

The designer is the director. AI is a team of juniors.

Each designer decides where AI helps, what they do themselves, and what they own. The team keeps its craft and judgment, and gets AI speed.

Design leads earlier

Designers explore the problem and get to a working prototype before an AI-made version from product or engineering sets the bar.

Research stays human-led

AI works through the evidence. Designers check the sources and own the insights.

Ideas become tangible

Working prototypes give clients and engineers something real to react to.

Learning spreads

What one designer figures out becomes the team's way of working.

03

How it runs

Four workshops. Then it goes to work.

IntakeWeek zero
WorkshopsWeeks one to four
Office hoursWeeks five to eight
ReadoutWeek nine

White is the workshops · grey is support on live work

  1. 00

    Intake

    We review the training your team already has, pick one live project per designer, and send a setup package. Nobody spends session one installing things.

  2. 01

    Your AI design setup

    A workspace built for design work, and a first reusable skill each designer knows how to adapt.

  3. 02

    Research and insight

    Synthesize real research with AI, check every finding against its source, and decide what the evidence supports.

  4. 03

    Explore

    Use AI in the early, messy phase. Investigate the problem and generate many directions before converging.

  5. 04

    Make it functional

    Turn a direction into a working prototype, push the design further with it, and hand it to engineering.

  6. 05

    Office hours

    Four weekly sessions on whatever the team is stuck on in live work. The shared skill set gets finished here.

  7. 06

    Readout

    Thirty minutes with leadership: what's in use, what isn't, one before-and-after, and what to do next.

04

Beyond the workshops

Workshops teach the tools. This makes them stick.

  • Practice on one live, approved project per designer, between every session
  • A task-by-task map of where AI leads, where it assists, and where it stays out
  • Two or three shared team skills, built by your designers, each with an owner and a home
  • Answers within one business day in a shared channel
  • A one-page guide to what client material goes in, inside your enterprise AI account
  • A way to present prototypes in client walkthroughs and in your own sales

05

Who runs it

Most people who can build this have never taught it.

Valet and Boards were designed and built by one designer working with AI, with no engineering queue. That's the way of working being taught.

Before that, Jarrett was lead UX instructor at General Assembly, where he wrote its first remote bootcamp.

19
Cohorts taught
30+
Workshops run
No. 1
Instructor NPS, two quarters

06

Formats

AI-native design teamFour workshops, shared skill set, 30 days of office hours, readout
About 9 weeks
Design masterclassFour workshops, starter templates, help between sessions
About 4 weeks
Focused half-dayThe one workflow that matters most, plus a week of help
One session

The masterclass ends when the series ends: each designer can work this way on their own. The full program carries it into live work until it's how the team works.

07

Before you ask

Our team has no time for training.
That's why it runs on live projects. Between sessions each designer practices on work they already owe, so the hours turn into real deliverables.
Our designers already use AI.
Some of them, some of the time. This gets the whole team on one setup, with an agreed answer to where AI goes and where it doesn't.
What about client data?
All work happens inside your team's enterprise AI account. What goes in follows your approvals, written up as a one-page guide.
We already ran an AI course.
Good. We review it at intake and start where it stops, with design work and design artifacts.
What does it cost?
One fixed price per format, quoted on the call.

One program at a time.

Book a 30-minute call →

Book a call

Thirty minutes on what you’re building.

Pick a time. By the end you’ll know whether we’re the right people for it.

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