What does Pave actually do?
Pave makes the clearest promise when the work is operational and repetitive rather than consumer-facing or highly bespoke. A team already has a process in its head: people submit requests, someone reviews them, statuses change, reminders get missed, and a spreadsheet slowly turns into a graveyard. Pave tries to turn that mess into a structured app in one motion. You describe the process, add a spreadsheet or PDF if you have one, and it generates the first pass of the data model, screens, and logic. That is why the product keeps circling around intake systems, project tracking, onboarding, approvals, and scheduling instead of generic "build anything" hype.
What separates Pave from a lot of AI app-builder talk is that it keeps dragging the conversation past the prototype. The product bundle already includes hosting, deployment, integrated data management, draft and publish states, version history, rollback, and permissions. In plain terms, that means the awkward second half of the job is not left for later. You are not expected to admire a demo, then go wire up a database, hosting layer, and access model by hand. For business teams, that matters more than another flashy generation step, because the real blocker is usually not getting a screen to appear. It is getting something stable enough that coworkers can actually use it.