Text-to-App Conversion

Text-to-app is the headline feature: you describe what you want and the platform produces a complete project — frontend, backend, and database — not just snippets. The quality of what you get is mostly decided by how you phrase the request, so this guide covers both what's generated and how to ask for it well.

Anatomy of a generated project

• frontend/ — Vite + React by default (or Vue, Angular, Svelte, or React Native depending on your stack pick).
• backend/ — Node + Express by default (also .NET, Python/FastAPI, or Java/Spring).
• database/ — schema files plus seed data when relevant.
• README.md with setup steps, and a .gitignore tuned for the chosen stack.

Phrasing prompts that work

• Be concrete about features. "A clinic booking app with a doctor list, a time-slot picker, and SMS confirmations" beats "a clinic app".
• Name the audience. "for staff" implies internal CRUD; "for customers" implies polished UI and auth.
• State the data model upfront if you know it: "patients, appointments, doctors, payments".
• List must-haves — auth, payments, a specific language/RTL, CSV export — so they're built in from the first pass.

Good prompt vs. vague prompt

Vague:  "Build me a store."
Better: "An online store for a bakery: product grid with photos and prices,
         a cart, Stripe checkout, and an admin page to add products.
         Arabic-first with an English toggle."

• The vague version forces the model to guess dozens of decisions — you'll spend the next hour correcting them.
• The detailed version gives it enough to make real choices, so the first version is close and every follow-up is a small refinement.

Build in layers, not one giant prompt

• Start with the core screens and data, preview them, and confirm the shape is right.
• Add cross-cutting features next — auth, roles, payments.
• Finish with polish — theming, empty states, validation messages.
• Each step is a normal update to the same project, so nothing is thrown away.

Common mistakes to avoid

• Kitchen-sink prompts that ask for everything at once — split them so a wrong guess doesn't derail the whole build.
• Leaving the audience unstated — the model can't tell an internal tool from a public product without a hint.
• Describing screens but not data — name the entities and fields and the app gets a real backend, not just mockups.

FAQ