Cool demo, weak pain
People applaud, but nobody urgently buys.
Cohort 01 · June 2026 · capped at 12 founders
Growth For AI OS
Built fast. Now build the company.
A 12-week GTM operating programme for technical AI founders with a working demo, MVP, pilots, users, or early revenue.
Validate the pain, prove retention, build compute-aware pricing, choose a GTM motion, and leave with a company story you can defend.
Founders are joining the Cohort 01 queue now
Founder warning
The 7 things AI founders are still guessing on
Most AI startups do not die because the model was bad. They die because the business never became real.
Novelty spike, no retention
Users try it once, then disappear.
Revenue grows, margins collapse
Compute costs eat every new dollar.
The platform ships it
OpenAI, Anthropic, Google, or an incumbent turns your feature into a default.
Attention mistaken for distribution
LinkedIn praise is not a repeatable channel.
Time runs out before learning does
Burn rate outruns evidence.
The next 90 days are vague
Everyone is busy, but nobody knows which company-building bets matter most.
Growth For AI OS helps founders stop guessing by building the evidence, engine, pricing logic, positioning, and 90-day plan behind the company.
AI-era GTM
The old SaaS playbook does not fully work for AI products
Old SaaS playbook
AI-era reality
Marginal cost is near zero.
Every query can cost money.
Demo proves value.
Evals prove trust.
Features differentiate.
Workflow, data, and context differentiate.
Pricing is mostly seat-based.
Pricing often needs usage logic.
SEO and paid channels dominate.
Discovery is fragmenting.
Activation takes days.
Aha often happens in minutes.
Ignore these shifts and you can get users, while still building a bad business.
What Growth for AI actually is
A 12-week GTM operating system, not passive content.
Growth for AI is for technical founders who already have something real, but need the business around it to become sharper fast.
Each week turns fuzzy GTM work into a decision, a framework, a shipped artifact, and a teardown against a clear bar.
Pricing is shared with shortlisted applicants after fit review. This is a high-touch, operator-led GTM programme, not a low-cost self-paced course.
Core transformation
Evidence, Engine, Story
The programme uses the same three-part system across the dossier, artifacts, curriculum, roadmap, and final application work.
Evidence
ICP, customer pain, replaceability, PMF, demand.
Proves the pain is real enough to build around.Engine
Activation, retention, dashboard, pricing, GTM motion.
Proves the company can reach, retain, and charge customers.Story
Defensibility, investor narrative, why now, why this wins.
Proves the company is legible, differentiated, and fundable.What you build
The artifacts you will actually build
Not worksheets for the sake of worksheets. Each artifact exists to force a decision the company needs.
01 ICP Scorecard
Beachhead segment scoring across pain, urgency, budget, access, and replaceability.
Which customer should we pursue first? 02 Assumption Pyramid
A ranked map of the riskiest beliefs underneath the company.
What could kill us fastest? 03 Messaging Map
A clearer bridge from buyer pain to product promise and proof.
What should the market understand immediately? 04 Experiment Design Canvas
Success, kill, deadline, and decision criteria before the test starts.
What do we need to learn next? 05 PMF Memo
A sober diagnosis of pull, fake PMF, retention, and the next 30 days.
Are we seeing real demand or founder-pushed usage? 06 AI Retention Dashboard
North Star, activation events, retention curve, churn reasons, and segments.
What behavior predicts durable value? 07 GTM Motion Map
The first channel motion matched to ACV, trust, buyer complexity, and category awareness.
How should we acquire customers now? 08 Compute-Aware Pricing Sheet
Pricing, packaging, usage, gross margin, and buyer value in one model.
Can growth become a good business? 09 Defensibility Memo
Data, workflow, distribution, trust, and timing advantages made explicit.
Why does this company win as the market shifts? 10 12-Slide Investor Story
A tight story from painful wedge to retention proof, GTM motion, and plan.
Can someone understand and believe the company? 11 90-Day Execution Plan
The highest-leverage decisions, tests, owners, and weekly operating cadence.
What should we do immediately after the cohort?How the weekly rhythm works
Every week follows the same operating rhythm.
Expect 4 to 6 hours per week across the live workshop, artifact build time, customer learning, and teardown.
- 1Make one hard GTM decision.
- 2Learn one AI-specific framework.
- 3Apply it live to your company.
- 4Ship one real artifact.
- 5Bring it to teardown and get reviewed against a clear bar.
The teardown is the accountability mechanism. This is where vague thinking gets exposed, artifacts get sharpened, and founders leave with decisions, not notes.
Curriculum
The 12 Modules
Module 01Begin With a Hypothesis
Write a falsifiable belief, map the riskiest assumptions, and start customer discovery.
Artifact: Hypothesis, Assumption Pyramid, first interview summaries.
Module 02The AI-Era Operating Model
Define what humans own, what AI handles, and where judgment still matters.
Artifact: Team-of-4 operating model, Workflow Ledger, one automation.
Module 03JTBD and Replaceability
Map the customer job, assess whether ChatGPT solves it well enough, and pick a beachhead segment.
Artifact: JTBD maps, replaceability scores, top 3 segments.
Module 04Kill Criteria and Pivot Framework
Design experiments with success, kill, and pivot thresholds before you run them.
Artifact: Experiment canvases, completed test, pivot trigger memo.
Module 05Evals as GTM
Turn messaging, MVP shape, landing page, and evals into trust-building assets.
Artifact: Messaging Map, landing page, MVP/demo, first activation signal.
Module 06PMF Diagnosis and Fake PMF
Diagnose whether you have PMF, early pull, fake PMF, or no PMF.
Artifact: PMF memo, retention curve, fake-PMF assessment, 30-day PMF plan.
Module 07Retention Dashboard
Build a measurement system that explains cause and effect, not vanity metrics.
Artifact: North Star Metric, live dashboard, event taxonomy, churn segmentation.
Module 08Reduce Time to Value
Define the aha moment, compress time to value, and redesign onboarding around real context.
Artifact: TTV before/after, onboarding redesign, retention experiment.
Module 09Pick One Channel Motion
Choose the GTM motion that fits ACV, buyer complexity, trust, and category awareness.
Artifact: GTM motion decision, 90-day channel plan, first 30-day test.
Module 10Loops vs Funnels
Identify whether growth should compound through content, product, community, sales, or data loops.
Artifact: Growth loop map, loop test, funnel diagnosis.
Module 11Hires That Unlock Growth
Decide which roles unlock the next stage of growth and which hires are premature.
Artifact: Growth hiring map, role scorecard, decision-rights update.
Module 12Investor Narrative and 90-Day Plan
Turn evidence, engine, and story into a fundable company narrative.
Artifact: 12-slide investor deck, defensibility memo, 90-day execution plan.
The 12-week path
A real roadmap from demo applause to GTM evidence.
Phase 1
Weeks 1 to 5
Validate the Pain
Hypothesis, interviews, segmentation, experiments, messaging.
HypothesisAssumption PyramidJTBD mapsReplaceability ScoreMessaging Map
Phase 2
Weeks 6 to 8
Prove Retention and PMF
PMF memo, retention curve, dashboard, onboarding redesign.
PMF MemoRetention CurveLive DashboardTTV RedesignRetention Experiment
Phase 3
Weeks 9 to 12
Build GTM, Defensibility, and Pitch
Channel motion, growth loops, hiring, pricing, investor story, 90-day plan.
GTM Motion MapGrowth Loop TestHiring MapPricing SheetInvestor Story90-Day Plan
Inside the programme
The frameworks inside Growth for AI
Assumption Pyramid
Ranks the risks that could kill the company first.
Replaceability Score
Tests whether ChatGPT or an incumbent can solve the job well enough.
Experiment Design Canvas
Defines success, kill, deadline, and decision before the test starts.
Fake PMF Diagnosis
Separates real market pull from founder-pushed usage.
AI Retention Curve Test
Identifies whether the product has novelty spike, utility plateau, habit build, or workflow lock-in.
Compute-Aware Pricing Sheet
Connects pricing, usage, gross margin, and buyer value.
Qualification
Do not apply if you want validation. Apply if you want evidence.
For you if:
- You have a working AI demo, MVP, pilots, users, or early revenue.
- You are technical or product-led, but GTM still feels fuzzy.
- You are not sure who your sharpest ICP is.
- You do not yet know whether users return because the product matters or because you keep pushing them.
- You want artifacts, pressure, and decisions.
Not for you if:
- You are still at idea stage.
- You want motivational content.
- You want a generic AI startup course.
- You are not willing to talk to customers.
- You will ignore evidence if it threatens your original idea.
Demo
See the OS before you apply.
The first public walkthrough will show the GTM dossier, positioning map, pricing logic, and 90-day plan workflow. The preview below makes the shape concrete while the Loom is recorded.
Loom walkthroughComing before Cohort 01 opens
GTM DossierPositioning MapPricing Logic90-Day Plan
Daniel and We Scale Startups
Built by an operator, not a course creator.
Growth for AI is built by Daniel Johnson, Fractional CMO and founder of We Scale Startups. Daniel has spent the last decade helping SaaS, AI, and B2B founders sharpen positioning, build demand systems, and turn founder-led growth into repeatable GTM.
- 10+ years running growth across SaaS, AI, and B2B companies.
- 479+ GrowthMentor sessions, rated 4.97/5.
- Growth mentor and workshop facilitator across Google for Startups, Techstars, Cambridge Judge Business School, GrowthMentor, and founder communities.
- Fractional CMO and GTM operator for early-stage SaaS and AI companies.
- Patterns extracted from real founder teardowns, not generic startup theory.
Google for Startups Techstars Cambridge Judge GrowthMentor
Proof and example teardowns
Specific before and after, not vague praise.
Seed-stage B2B SaaS founder, New York
Before
Broad ICP, unclear activation, pricing based on guesswork.
After
Artifacts shipped: ICP Scorecard, PMF Memo, GTM Motion Map. Beachhead segment, first retention signal, revised pricing logic, clearer investor story.
AI workflow startup founder, London
Before
Strong demo, weak trust proof, sales calls drifting into feature explanation.
After
Artifacts shipped: Messaging Map, Experiment Canvas, Investor Story. Evals reframed as GTM proof, sharper messaging, cleaner buyer decision path.
Technical founder, pre-seed, developer tools
Before
Attention from technical peers, no repeatable channel, fuzzy expansion logic.
After
Artifacts shipped: GTM Motion Map, AI Retention Dashboard, 90-Day Execution Plan. Focused wedge, first channel test, clearer activation event and 90-day plan.
Daniel helped us turn a vague ICP into a clear GTM motion we could actually test.
Most advisors gave us opinions. Daniel gave us a system.
The teardown made our positioning, pricing, and investor story much easier to explain.
FAQ
The practical questions founders ask before applying.
Fit
Who is this for?
Technical or product-led AI founders with a working demo, MVP, pilots, users, or early revenue who need sharper GTM evidence.
What stage is too early?
If you are still idea-stage with no working product, this is too early. You need something real enough to test with customers.
Format
What happens each week?
You make one hard GTM decision, learn one AI-specific framework, apply it live, ship one artifact, and bring it to teardown.
How much time does it take?
Expect 4 to 6 focused hours per week across the live session, artifact work, customer learning, and teardown preparation.
Outcomes
What does the GTM dossier include?
ICP evidence, assumption pyramid, replaceability score, messaging, PMF memo, retention dashboard, GTM motion, pricing sheet, defensibility memo, investor story, and 90-day plan.
What do I leave with?
A clearer customer, stronger evidence, a first GTM engine, pricing logic, and a company story you can defend with customers and investors.
Pricing and application
How much does it cost?
Pricing is shared with shortlisted applicants after fit review. This is a high-touch, operator-led GTM programme, not a low-cost self-paced course.
What happens after I apply?
Applications are reviewed first. If there is a fit, you will be invited to the next step within 5 working days and pricing is shared then.
Waitlist
Join the Cohort 01 waitlist
Save your place, get your referral link, and we will invite the strongest-fit founders to the next application step within 5 working days.
Cohort 01 · June 2026 · capped at 12 founders
Takes 3 minutes. Serious AI founders only.
Built fast. Now build the company.
Founders are joining the Cohort 01 queue now
If your AI demo is impressive but the GTM is still fuzzy, Cohort 01 is built to force the evidence into the open.
Apply if you are ready to validate the pain, prove what retains, choose a GTM motion, and leave with a company story you can defend.
Join the waitlistJune 2026 · capped at 12 founders · applications reviewed within 5 working days