You use AI every day. You write decent prompts, you get decent output. But you've started to wonder how much more is there, based on what others say is possible.
Be honest. You still yourself re-explaining your project. You're still reworking most of what it hands back. And you've started to wonder what the people getting more out of it figured out.
Here's the gap. You never built the system underneath.
This course is where you build it. It starts with a workspace your AI actually knows. Low-maintenance, and it takes over the busy work so you have room for deep work. From there you build a daily skill that runs your morning, and expert agents that push back on you like: your toughest client, your boss, the coach who finds the hole in the plan, the expert in your field you wish you could put on retainer.
That system has a name. It's your AI Chief of Staff: it knows your work, runs your day, pulls in others, when needed, makes your output visibly better. No coding required. If you can edit a document, you can build this.
You leave with it running, and the habit to keep it. But most importantly, you learn how to adapt and grow it yourself.
It's $749 today, $895 on July 1.
How to build a system that handles the work you shouldn't be doing and sharpens the work only you can do.
Your projects, your priorities, your standards, all loaded before you start.
Every conversation picks up where the last one left off, instead of from scratch.
No more re-explaining your context at the top of every single session.
Build agents that think like the people whose judgment you trust: your boss, your toughest client, the skeptic who finds the hole.
They push back on real decisions instead of just agreeing with you. One student on his advisor: "It felt like my boss."
Walk into the meeting having already heard the hard questions.
Learn the moves that separate people who use AI a lot from people who use it well.
Research it before you ask, push back on what it gives you, and stop accepting slop.
The difference shows up in the work, not just in how it feels.
Build a daily driver that asks what matters today and remembers what you did yesterday.
It holds you to what you said, instead of letting yesterday quietly slip.
Your system, firing every morning, without you having to set it up again.
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.
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Companies are run on the system that I have built.
You get decent output but re-explain context every session. You want AI that knows your work and challenges your thinking.
Ms, designers, engineers, operators. Whether you're solid with AI or already advanced, you'll find the level that's new for you.
You want to walk into meetings having already stress-tested your arguments. You want documents that survive the first round of review.
You already use AI regularly. This isn't a first-intro to ChatGPT or Claude. It's for people who use it a lot and want to use it well.
You need to install tools like Claude Code or Cursor. Some company laptops block this. If you are unsure, check with your IT team.
A Claude or Cursor subscription (around $20/month). You won't need it in week one, but you'll want one by week two.
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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
Your purchase is backed by the Maven Guarantee.
13 live sessions • 18 lessons • 3 projects
Jul
10
GET IT RUNNING, TOGETHER.
Jul
13
The Difference Between Using AI and Working With It
Jul
15
Let an Expert Agent Tear Your Plan Apart
Jul
18
Live sessions
3-4 hrs / week
Sat, Jul 18
3:00 PM—4:00 PM (UTC)
Sat, Jul 25
3:00 PM—4:00 PM (UTC)
Sat, Aug 1
3:00 PM—4:00 PM (UTC)
Projects
2-4 hrs / week
Async content
1 hr / week
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
Myles 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
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




"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 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.
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.
Maven for Teams
Reimbursement
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Everything L&D needs: email template, receipts, and certificate of completion.
Get reimbursedTeam discount
Learn with your teammates
Save 20%+ when 2 or more teammates enroll in the same cohort.
Save 20%+ with a teamPrivate cohort
Run a cohort for your org
A dedicated cohort with a custom schedule and curriculum, tailored to your team.
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USD