Coming with the launch wave
Install your AI mentor.
Most people plateau at prompt one. They learn enough AI to be dangerous, then stop. Your mentor watches how you actually work and tells you, every week, exactly where you are still leaving leverage on the table.
Join the waitlist →The problem it solves
You do not need more AI training. You need someone to look at what you are already doing and tell you what you are missing.
How it works
Four steps, then it runs in the background.
Connect what you already use
Point the mentor at the AI tools already in your workflow. No new interface to learn and no change to how you work.
It reads your actual usage
Not a quiz about your intentions. The mentor looks at the prompts you write and the tasks you hand off, and finds the pattern.
You get specific feedback
A weekly note naming the exact workflow you are still doing by hand, the prompt that was doing half the work it could, and the one thing to change.
Your v0 gets better
The book’s v0 Rule says the first version is never the point; the second is. The mentor exists to shorten the distance between them.
Privacy
It reads your work. Here are the rules.
A coach that reviews your prompts only works if you trust it with real work rather than sanitized examples. So the constraints are strict, and they are not negotiable per customer.
You choose the scope
You decide which tools and which workspaces the mentor can see. Nothing is connected by default.
Never used to train models
Your prompts and outputs are not used to train any model, ours or anyone else’s.
Not shared with your employer
This is a personal coach. Your usage is not reported to your company, your manager, or your IT department.
Delete at any time
Disconnect and your history is erased. One click, no retention period, no export request.
Full terms are in the privacy policy.
Early access
Get in early.
Readers get first access. Tell us where you work and what you do — the first cohort is shaped around the roles that show up most.
In the meantime
The mentor automates a habit you can start building by hand today. Chapters 22 and 23 are the manual version, and they work.
About Paul Cheek
Paul Cheek is a global expert on AI-driven enterprises and enterprise innovation. He is a Senior Lecturer at the MIT Sloan School of Management and Senior Advisor for Entrepreneurship & Artificial Intelligence at the Martin Trust Center for MIT Entrepreneurship. As founder of the AI-Driven Enterprise Institute and Entonomy, he develops data systems and software that power AI agent-run businesses. A Forbes 30 Under 30 honoree, bestselling author of Disciplined Entrepreneurship: Startup Tactics, and recipient of MIT’s Monosson Prize for impact on entrepreneurship education, Paul has advised and built ventures from seed to scale, with his work featured in Bloomberg, CNBC, Forbes, CNN, Inc., Entrepreneur, and more.
Read Paul’s full bio →The weekly newsletter
Stay close to the work.
What Paul is seeing in AIDE strategy, board-level AI, and PE/VC moves. Short. Tactical.