So what gets shipped actually solves what your customers told you — instead of what the AI guessed.
Customer research, product specs, and what engineering ships — connected in one place. So nothing important gets lost between your research notes and your AI coding tool.
A product methodology that uses your customer understanding as the source of truth — so your AI build tools build the right thing the first time.
A workspace that connects customer research, product specs, and what your AI build tools ship — across the three stages where products go off the rails.
Interview notes, support patterns, and analytics signals stored as structured data — searchable across products, persistent across team turnover. No more research-folder graveyard.
Every user story links to specific customer quotes and observed behaviors. Acceptance criteria the team can defend. Validation gates that block premature builds before code gets written.
Hand off to your AI build tools with research, decisions, and acceptance criteria attached. The AI builds what your customer asked for — not what it had to guess from a one-line prompt.
You'll see a landing-page preview — read it at your own pace. When you're done, click Continue to answer 5 short questions about your impression. Takes about 90 seconds total.
The buttons inside the preview (See pricing / Get research findings) are not clickable during this preview — that comes after you submit your answers, where you can view the full landing page including pricing.