AI-built SaaS acceptance checklist

Help non-technical founders validate AI-generated SaaS prototypes so the product actually works

Problem

Founders build prototypes in days with Lovable, Bolt, or Cursor, but after the excitement fades they find onboarding doesn't make sense, features don't connect, and the dashboard looks good but doesn't support decisions. A Reddit thread calls out this exact pattern, showing the gap between prototype and usable product is widespread.

Solution

A checklist tool that guides users through questions about their product flows, then generates an acceptance checklist tailored to AI-generated code (e.g., is onboarding closed-loop, are error states handled, is data flow consistent), with actionable fix suggestions.

Users

Non-technical or semi-technical founders and indie developers using AI tools to rapidly build SaaS prototypes.

MVP

Guided questionnaire generating an acceptance checklist; grouped by module (onboarding, dashboard, permissions); each item with a fix hint; export as Markdown; built-in common pitfalls of AI-generated code

Revenue

Free basic checklist; subscription for full template library, team collaboration, and regular updates; integration with AI coding tools for one-click fix suggestions.

Why now

After the explosion of AI prototyping tools, many non-technical founders get stuck between 'works' and 'works well,' with no systematic acceptance method. A solo developer can quickly ship a checklist product combining rules and AI.