Head of Product | AI for non-tech users
.jpg&w=768&q=75)
85% of AI users report saving hours every week. (Workday, 2026)
When researchers actually measured it, experienced engineers were 19% slower with AI. They believed they were 20% faster. (METR, 2025)
If senior engineers cannot tell whether AI is helping them, the rest of us almost certainly cannot either.
I saw this in my own teams. Same tools, same AI. They used it like a vending machine: throw in a prompt, some inputs after being asked, get polished output, move on.
The problem was not the AI. It was what AI knew about their work. Very little beyond what it asked for.
Most CEOs report no net benefit from AI. Only about 1 in 10 capture real gains. (PwC CEO Survey, 2026)
I built a system that gives AI my real context that compounds over time: projects, decisions, priorities. It changes the output because it can ask much better questions. It already knows everything it needs to act as a virtual team member.
You leave with a working system built on your actual work. Not a demo, not a certificate. From ChatGPT basics to building automations, the course meets you where you are.
If you work with projects, decisions, and AI, this is for you.
Build a PM Copilot: AI that remembers everything, plans your day, and reviews your week. No coding required.
AI that already knows your decisions, context, and standards before you start.
Output that's genuinely better than what you'd produce alone.
The kind where the quality difference is visible to everyone around you.
Your company, products, priorities, and past decisions - always known
Every conversation picks up where the last one left off
No more "let me give you some context..." - it already has it
Every project has its history, decisions, and current state captured indefinitely
Ask "what's next?" and get the exact context you need
Switch between projects without the "where was I?" tax
Sync your actual priorities with your AI workspace
Your calendar, tasks, and deadlines feed into one system
It runs every morning before you wake up - nothing to trigger
Decisions, meetings, and progress gathered automatically
AI synthesizes your week into a clear summary
You review and approve in minutes - then it updates your system
Set up a shared workspace that works across people and tool (Claude Code, ChatGPT, Cursor)
Practice a real handoff: you work on something, a teammate picks it up in a different AI tool, same context loads
Solve fragmented AI usage - no more prompts and projects living in personal ChatGPT, never shared with the team
.jpg&w=384&q=75)
Head of Product, 10+ years - Building AI for non-technical healthcare worker
You want a competitive edge. Comfortable being a beginner if it means being the person others ask "how did you do that?"
You'll build on AI habits you already have, not learn from scratch.
Proves you have the "I'll figure it out" mindset the course requires
You'll run terminal commands and see code - AI writes it, but you'll see it.
.jpg&w=1536&q=75)
Live sessions
Learn directly from Myles Sutholt in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Templates & Starter Files
Access to a growing template library - updated even after the course ends
Access To Future Cohort Complimentary
This space is rapidly changing and as you progress at your own speed, you will have more questions. A complimentary future cohort helps you build on what you learned.
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.
12 live sessions • 20 lessons • 4 projects
Mar
30
Foundation Session
Apr
2
Writing Amazing PRDs With AI
Apr
4
Apr
6
Let AI Manage Your Task Management
Apr
11
Making Automations More Personalized
Apr
11
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
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
Myles hired me as a junior PM and taught me everything I needed to grow into a senior role at Check24. He has a way of breaking down complex things into steps you can actually follow. If he's teaching something, you'll walk away knowing how to do it.

Ljubow
I’m a designer who loves to play with tools, and Myles’ ‘LLM as teammate’ playbook unleashed me. My automations now file invoices and surface next steps while I get back to the actual design work.

Tim
$599
USD