Build the AI Copilot that makes others ask: 'How did you do that?'
Myles Sutholt
Head of Product | AI for non-tech users
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This course is popular
7 people enrolled last week.
A system that handles your busy work and sharpens the work only you can do.
You already use AI. You probably think it is going well.
When researchers measured experienced professionals using AI on real tasks, they were 19% slower. They believed they were 20% faster. (METR, 2025)
"I thought I was already using AI well. Turns out I was just using it often." — Wole, Product Designer
The gap is not your skills. It is what AI knows about your work before you start. Your projects, priorities, stakeholders, what "good" looks like. Without that, every session starts from zero.
This course builds two things. First: a system that handles the recurring work and frees up roughly half a day a week. Second: AI advisors modeled on your real stakeholders that challenge your documents, prepare you for meetings, and catch what you missed.
"A system I use every single day. One that has increased the quality of my work immensely." — Renata, Product Owner
Limited to 20 students. Personal feedback on every submission.
What you’ll learn
How to build a system that handles the work you shouldn't be doing and sharpens the work only you can do.
Projects, priorities, stakeholders, and standards loaded before you start.
Every conversation picks up where the last one left off.
No more re-explaining your context at the start of every session.
Build automations that handle recurring tasks: weekly reviews, priority sorting, meeting prep.
You describe what you want in plain English. AI writes the code.
Students typically free up roughly half a day per week.
Build advisors modeled on your real stakeholders: your VP, a skeptical engineer, a key client.
Run your documents and plans past them before the real conversation happens.
Walk into meetings knowing what everyone else will catch.
AI that already knows your decisions, context, and standards before you start.
Output that is genuinely better than what you would produce alone.
The kind where the quality difference is visible to your team and your manager.
Every interaction teaches the system more about your work.
Context, decisions, and patterns accumulate across weeks and months.
The system you have in week four is qualitatively different from the one you started with.
You describe what you want. AI builds it.
Every session walks you through the process step by step.
Students include designers, product owners, and data professionals. Technical background not needed.
Learn directly from Myles
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Myles Sutholt
Head of Product who uses the system he teaches every day with his team.
Who this course is for
You get decent output but re-explain context every session. You want AI that knows your work and challenges your thinking.
PMs, designers, engineers, data professionals. The title matters less than the work: multiple projects, documents, decisions across teams.
You want to walk into meetings having already stress-tested your arguments. You want documents that survive the first round of review.
Prerequisites
Use AI (like ChatGPT or Cursor) regularly (not just tried once)
You already use ChatGPT, Claude, or similar tools regularly. Not just tried once. You have AI habits you want to build on.
Can install software
You need to install tools like Claude Code or Cursor. Some company laptops block this. If you are unsure, check with your IT team.
Willing to try things that feel unfamiliar at first
You will see code you did not write. AI writes it. You describe what you want in plain English. We walk you through every step.
What's included
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Live sessions
Learn directly from Myles Sutholt in a real-time, interactive format.
A Working AI System Built on Your Real Work
You leave with a fully functional AI system built on your actual projects, priorities, and stakeholders. It is yours to keep and runs on your machine
AI Advisors Modeled on Your Real Stakeholders
Advisors that challenge your documents, prepare you for meetings, and find what you missed. They are modeled on the people you actually work with and they are yours to keep.
Pre-Built Starter Workspace
You start building on day one, not week two. Plug-and-play templates and proven workflows so you reach working-system status from the first session.
Personal feedback on every submission
Not automated. Myles reviews your work and provides detailed feedback on what to improve and how to strengthen your AI system.
Lifetime access
Go back to course content and recordings whenever you need to.
Free Retake of Any Future Cohort
The system evolves between cohorts. Your access does too. Come back when you are ready to build the next layer.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Active cohort of ~20 students
Small cohorts, so that you can have enough face time with the instructor to level up your AI skills fast.
Continue Learning & Collaborating In Slack
As this space changes, so does your work with it. You will be invited into a Slack space, where alumni (and myself) share lessons learned for you to apply.
Full Refund If You Are Unhappy
If you attend the sessions, do the projects and feel like what you have learned did not make a meaningful difference, I will refund you 100%.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund through the second week of the course.
Course syllabus
12 live sessions • 18 lessons • 3 projects
Week 1
Mar
30
Set Up Your AI So It Actually Knows Your Work
Mon 3/304:00 PM—5:30 PM (UTC)Apr
1
Design the Blueprint for Your First Automation
Wed 4/14:00 PM—5:30 PM (UTC)
Set Up Your AI So It Actually Knows Your Work
Design the Blueprint for Your First Automation
Apr
4
Office Hours (Troubleshooting)
Week 2
Apr
8
Turn Your Blueprint Into a Working Automation
Wed 4/84:00 PM—5:30 PM (UTC)
Turn Your Blueprint Into a Working Automation
Apr
11
Optional: Office Hours (Optional to troubleshoot, if you have issues)
Free resources
Schedule
Live sessions
3-4 hrs / week
Sat, Apr 4
3:00 PM—4:00 PM (UTC)
Sat, Apr 11
3:00 PM—4:00 PM (UTC)
Sat, Apr 18
3:00 PM—4:00 PM (UTC)
Projects
2-4 hrs / week
Async content
1 hr / week
Testimonials
I managed Myles at Trafo. He's one of those rare people who thinks in systems. When he builds something, it actually works
and keeps working. If he's teaching a system for AI productivity, it's because he's already pressure-tested it himself.
Abraham
ex-General Manager @ WikimediaMyles and I were experimenting with ChatGPT integration at Talent.io before most people had even heard of it. He was already thinking about how to make AI actually useful for real work while everyone else was still playing with prompts. He's been doing this longer than most.
Amit
Co-founder talent.io and CruiseWise (acquired by TripAdvisor)As a Head of Product, this was the first AI approach that actually made my work easier. Treating AI like a teammate, automating the admin, and freeing my time for product decisions.
Sander
ex-Analysis Group (worked with Clayton Christensen)
Alumni come from these companies
Frequently asked questions
What Students Say
"This course humbled me in the best way. He shows you why everything you have been doing is still just scratching the surface." -Tim, UX Designer
"A system I use every single day. One that supports me in my daily work and has increased the quality of my work immensely." -Renata, Product Owner at desk.ly
"I liked the idea of thinking about creating a team of advisors to tap into and digital twins of people we meet." -Devin, Software Engineer at About You
"AI is like the most capable colleague you have ever hired, except they just walked in on day one. Limitless potential, but completely dependent on how well you onboard them." -Wole, Product Designer
"Just do it! You will get a lot of value out of it and might be able to onboard the rest of the team, too." -Gianna, Senior PM at DeepL
The Two Things You Build
The Automation Layer
Handles recurring work so you do not have to. Weekly reviews, priority sorting, meeting prep. Runs automatically. Roughly half a day back every week.
The Advisor Layer
AI advisors modeled on your real stakeholders. They challenge your documents, stress-test your plans, and prepare you for hard conversations. The system that makes your work visibly better.
How the Course Works
Week 1: Give your AI the right foundation.
Ask your AI a real work question and see what it actually knows about you. For most people, the answer is nothing. Then build the context that changes that: your projects, your priorities, what good work looks like. Everything you build after this week gets better because the foundation is right.
Week 2: Free up time. Use it for the work that matters.
You describe what you want in plain English. AI writes the code. By the end of the week, you ship an automation that handles something you currently do by hand. The time you get back is real. Use it for the thinking AI cannot do for you.
Week 3: Build AI advisors that challenge your thinking.
Build an advisor modeled on a real stakeholder. Someone who pushes back on your documents, stress-tests your plans, and prepares you for meetings before they happen. Then automate your weekly review so the system keeps learning without you maintaining it.
Week 4: Make it work for your whole team.
Learn how to collaborate with team members and see how the system compounds to a degree, where it catches quality issues of others as well. The AI has the same capability it had on day one. Your system is what changed.
$599
USD
4 days left to enroll