In partnership with
Hey friends, happy Monday.
For years, startup advice followed a familiar path: build the MVP, ship it fast, and let the market tell you what matters.
That made sense when building software was the hard part. In AI, that assumption is breaking down. Prototypes are cheaper. Interfaces are faster to spin up. Product demos are easier to fake. The bottleneck is no longer just whether you can ship. It is whether the workflow underneath the idea is actually worth turning into a product.
That is why founders need a new validation habit. Before you build the AI product, test the workflow.
This sounds small, but it changes almost everything. It changes what you test first. It changes where you look for signal. It changes how you think about risk, product scope, GTM, and even what kind of company you are really building.
Because a lot of early AI products do not fail because the model is weak. They fail because the workflow is weak. The task is too rare. The pain is too shallow. The trust is too low. The human review path is missing. The output looks impressive, but it does not actually move work forward.
The best founders are starting to figure this out. They are spending less time asking, “Can we build this feature?” and more time asking, “Should this workflow become software at all?”
What we’ll explore today
Why MVP logic starts to break in the AI era
What a workflow-first validation process actually looks like
The five things a good workflow test should measure
A practical seven-day playbook to run one
Why this leads to better product strategy, sharper GTM, and stronger revenue potential
— Naseema Perveen
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IN PARTNERSHIP WITH HUBSPOT
The GTM bets that shouldn't have worked, and did
One grew revenue 50x after half his team quit over the strategy. One brought in 50K signups in a single day with no paid budget. One generated 100M+ views from a stunt that took 50 hours to conceive. One asked every prospect to demo the product themselves instead of demoing it for them.
None of them followed the safe playbook. They treated GTM like an experiment, moved before they had proof, and made bets most founders would never get approved.
HubSpot for Startups documented all 6 stories in the free Bold Bets Playbook. The risks they took, why it was risky, and what it returned.
