Six figures of strategy consulting.
Free, forever.
A structured 90-minute curriculum on how product management is being remade by Adaptive AI. The same thinking the big consultancies charge $200K-$500K to deliver as keynote engagements. Written down. Put on the internet. Given away.
No email required. No login wall. The full curriculum lives on this site under a public URL per module — share, fork, quote freely.
- 23
- modules
- across 4 shipping tracks
- 25-90
- minutes per track
- self-paced, jump anywhere
- $0
- cost
- forever, no upsell
- 0
- login walls
- public URLs, share freely
- 40+
- cited sources
- McKinsey, DORA, Anthropic, Gong, Dunford
You will understand the structural shift.
How Waterfall → Agile → Adaptive AI redefined the PM role each time, what specifically broke with each transition, and where most product orgs are stuck today — usually pretending Adaptive is Agile-with-AI-tools.
You will see the new role taking shape.
The Loop Master role — what it owns, what it does not, how it partners with the PM and the EM, and why Scrum.org, Anthropic, AgileGenesis, and CPrime are all converging on the same role-shaped hole in 2026.
You will have a working model for closed-loop attribution.
Why McKinsey 2025 says only ~5.5% of orgs report measurable AI EBIT impact, what the 5.5% are doing differently (it is not adoption volume — it is attribution capability), and a concrete day-in-the-life view of what a closed-loop workflow looks like.
The curriculum is built around diagrams — each module pairs a visual with a workflow narrative. Skim the diagrams first if you want to know what the curriculum actually shows you before reading.
PM Track · 7 modules
View track index →Builder Track · 6 modules
View track index →Executive Track · 4 modules
View track index →Product Management in the Adaptive AI era
For PMs, agile coaches, executives, board members.
Vendor-agnostic argument: PM role through three eras, the Loop Master role, what the closed loop actually buys you. Grounded in McKinsey, DORA, Anthropic, GitHub, Cagan, Cutler, Rachitsky.
The PM33 platform, end-to-end
For engineers, technical evaluators, sales engineers, security reviewers.
PM33 platform walkthrough: closed-loop architecture, Brief lifecycle, harness discipline, outcome attribution, governance. Hands-on commands. The technical case for the closed loop.
For executives sponsoring AI adoption
For CEOs, CTOs, COOs, board members deciding on AI-product investment.
Investment thesis grounded in McKinsey + DORA. How to sponsor AI adoption without breaking delivery stability. The 5-slide board update. ROI math + lock-in shapes for the long game.
For sales engineers, AEs, and GTM teams
For account executives, sales engineers, solutions architects, and partner managers.
Sales-delivery context for PM33. Three pitch versions, discovery scripts per persona, Dunford-aligned demo flow, 12 objections + answers, Ramanujam pricing, competitive positioning vs GitHub Spec Kit + Anthropic + LangChain.
More tracks landing soon
For security and compliance reviewers
For security architects, compliance officers, GRC reviewers.
RLS tenant isolation, append-only audit log, SOC2 alignment, role-based access at the database row, schema-parity gates.
10 minutes
Just want the thesis
Read the "Argument in 90 seconds" section on /curriculum/pm. Five beats, three minutes if you skim, ten if you actually think.
Read the 90-second argumentSolo
One sitting, ~90 minutes
Pick the track that matches your role and read straight through. Each module is self-contained; you can stop and resume anywhere.
Start the PM TrackSelf-paced
One module per week, 6 weeks
Better retention. Bookmark a module, read it Monday morning, let it land all week, then pick up the next one. Pairs well with team discussion.
Start with Module 1Team book club
6 sessions, ~30 minutes each
Most leverage. Each session: read one module solo before, then 30 minutes group discussion using the "Discussion prompts" at the end of each module.
See the full PM TrackThe thinking belongs to everyone. PM33 was built on top of it. If the field doesn't move forward, neither does the platform.
Big consultancies package this exact substance — the structural argument about role evolution, the Loop Master proposal, the closed-loop attribution framing — and deliver it to enterprise customers as keynote workshops. The fees land in the $200K–$500K range. The thinking itself is not proprietary to them; we just wrote it down, structured it as a curriculum, and put it on a public URL. We'd rather every PM team in the world have access to the model than gatekeep it.
— Steve Saper, founder, PM33
Three diagnostics built to sit alongside the curriculum. Use them before you read to find your starting point, or after to see what moved.
Velocity Calculator
How much faster your team could ship if the Story → Brief shift landed.
Run itAI Maturity Scorecard
25 questions, 5 dimensions, ~5 minutes. See where you fall against 100+ PMs we surveyed.
Run itAgentic PM Maturity Assessment
Where your team ranks on the Loop Master / closed-loop dimensions, with a recommended path.
Run itWhy is this free?
Is this just a sales pitch for PM33 dressed up as a curriculum?
Can I share this with my team / use it for a workshop?
How current is the content?
Is there a PDF / printable version?
Ninety minutes. Pick a track. Start now.
No signup. No paywall. The full curriculum is on this site under public URLs. Bookmark, share with your team, fork the content.
The thesis
Outcome Attribution is the Trick.
Independent validation tells you the code is correct. It doesn't tell you whether shipping it moved the metric. Outcome attribution does — and it's the part of the loop no other AI-development tool closes.