Ex-VP Product | AI Advisor
AI Engineer | 2,000+ trained.


Most AI-for-product courses teach you to build faster — vibe-code a prototype, ship an agent. This one teaches you to decide what to build.
AI compresses the cycle between signal and strategy. The PMs pulling ahead aren't shipping fastest — their roadmaps are grounded in customer truth, competitive reality, and live product signal, and they can prove it.
The hard part was never doing the work faster. It's knowing which work to do at all.
So we go across the whole product process — discovery, prioritization, pricing, GTM, retention, the post-launch loop — and assess it job by job: what can be augmented with AI, and what should. Most teams point AI at the wrong jobs.
Over three weeks you'll build a decision system powered by AI: one that ingests customer insight, stress-tests it against strategy, validates ideas before you build, and closes the loop after launch.
Not faster for its own sake. Faster toward the right thing — with the receipts to back it up.
Move from building fast to deciding right — an AI decision system that turns signal into product calls you can defend.
Stand up a reusable system that turns customer, market, and product signal into a decision you can defend — not a one-off prototype.
Leave with the system running on a real decision you brought, ready to use at work the next week.
Run an augmentation audit job by job — discovery, prioritization, pricing, GTM, retention — to see where AI helps and where it hurts.
Learn to tell AI that sharpens your judgment from AI that quietly replaces it, so you point it at the right jobs.
Build agents that ingest interviews, tickets, sales calls, and usage data and surface the real patterns fast.
Separate a genuine signal from a loud anecdote before it shapes your roadmap.
Stress-test each idea against your strategy to expose where it confirms, contradicts, or you're fooling yourself.
Run cheap, AI-assisted tests that de-risk a bet before engineering ever touches it.
Connect calls to PMF, retention, expansion, and revenue — plus the expanding remit of pricing and GTM.
Explain a decision in the terms the business cares about, before the data is perfect.
Walk into the room with the receipts — a decision grounded in signal and tied to a real outcome.
Feed post-launch results back into the system so your next decision is sharper than your last.

Founder of Momentum Product Co. Fractional product leader. Trains PMs to use AI.

Product leader & software engineer. Makes AI product decisions actually ship.
Senior PMs & leads who own the roadmap, drowning in signal, and done with AI advice that stops at "prototype faster." You decide the bets.
Founders and CEOs running product with no product leader yet — who want seasoned AI-and-product judgment without a full-time hire.
PMs whose scope now spans pricing, GTM, retention, and revenue, wanting one system to decide across all of it — not just the build.
A paid AI subscription (Claude or ChatGPT), some product experience, and a real decision to bring. No coding required.
Live sessions
Learn directly from Heather Gawel & Babajide Okusanya in a real-time, interactive format.
Lifetime access
Templates, playbooks, prompts, and automations you’ll reuse long after the course ends and access to ongoing updates.
Community of peers
A community of peers who actually ship. You'll join the Momentum AI Working Group — a 200+ member Slack of product people putting AI to work in real workflows, not just talking about it. Bring a problem, get answers same-day.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
4 live sessions • 6 lessons • 3 projects
Sep
9
Signal: turn raw inputs into truth
Sep
16
Decision: build the system that makes the call
Live sessions
1-2 hrs / week
Every week, 90 minutes live with Heather and Babajide — watch real builds, then work your own product decision with help on hand. Recorded if you can't make it.
Wed, Sep 9
4:00 PM—5:30 PM (UTC)
Wed, Sep 16
4:00 PM—5:30 PM (UTC)
Wed, Sep 23
4:00 PM—5:30 PM (UTC)
Wed, Sep 30
4:00 PM—5:30 PM (UTC)
Projects
1-2 hrs / week
Apply each session to a real product decision you bring. Submit your work each week and get feedback — you leave with a defended call and a reusable decision system,.
Async support & community
1-2 hrs / week
Short lessons, templates, and prompt libraries to prep for and extend each session — plus the Momentum AI Working Group, a 200+ member Slack where you can ask questions and get help between sessions. Self-paced, and yours to keep.
Maven for Teams
Reimbursement
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Everything L&D needs: email template, receipts, and certificate of completion.
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