Marblism

Input the core functionality and user roles of the SaaS into Marblism's prompt engine.

Review and approve the AI-generated relational database schema for users, subscriptions, and core entities.

Let Marblism generate the complete full-stack codebase.

Push the generated code to GitHub and deploy to Vercel to immediately start onboarding beta testers.

Describe the required data models (e.g., inventory, employee records) in the prompt.

Verify the generated Prisma schema matches the internal data structure requirements.

Export the generated frontend dashboard components and backend CRUD routes.

Connect the generated application to the existing company database securely.

Prompt Marblism with the specific dynamics of the marketplace (e.g., buyers, sellers, listings, reviews).

Refine the database schema to ensure relationships between buyer IDs and seller IDs are properly mapped.

Generate the UI featuring listing grids, user profiles, and checkout scaffolds.

Customize the exported code to integrate a specific payment gateway like Stripe.

Describe the AI utility (e.g., PDF summarizer) in the Marblism prompt.

Generate the standard SaaS shell including user authentication and credit usage tracking.

Open the generated backend code and insert the specific OpenAI API call.

Deploy the application and begin marketing the specialized AI tool.

Take the client's brief and condense it into a comprehensive prompt.

Generate a working, clickable full-stack application overnight using Marblism.

Present the functional MVP to the client to demonstrate capability and clarify requirements.

Use the exported codebase as the starting foundation for the final contracted build.