Product Discovery Prover Connector for AI agents.

It acts as a hard gate that requires you to provide evidence of problem scale and purchase intent before engineering can start. This prevents you from spending months building features that nobody actually wants.

Yes. It forces you to move past vague demographics like 'small businesses' and define users by their specific behaviors, current capabilities, and workflow friction.

Interest is a compliment like 'that sounds cool.' Purchase intent is concrete data like pre-orders, letters of intent, or people already spending money on a workaround.

It forces you to define the minimum experiment needed to test a core hypothesis. If your MVP takes more than 4 weeks to build, the Connector will flag it as bloated.

Yes. It requires you to actually test competitor products for real tasks and document their strengths, gaps, and the switching costs for your potential customers.

It identifies a specific blind spot in your thinking, such as a lack of evidence, a vague segment, or a lack of purchase intent. You can then fix that specific issue before you start building.

Because demographics are useless for product design. 'Millennials' is a marketing category, not a workflow. We demand behavioral segments because they isolate users actively experiencing the exact pain point you intend to solve.

Money or legally binding ink. Polite compliments and 'I would use this' are false signals that kill startups. We require active commitment: credit cards on file, signed B2B Letters of Intent (LOIs), or cash deposits.

As a single-variable experiment. Drop the settings panels, user profiles, and polished UI. The MVP must isolate and test the core value hypothesis. Use manual back-end workarounds to deliver the outcome without building the platform.