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AI Builder

Describe the application you want in plain language and Rytora BuildLabs generates a complete web codebase — React + Vite frontend, Supabase integration, and all the wiring in between.

How it works

The AI Builder transforms a single prompt into a working application through a multi-stage pipeline powered by Claude (Sonnet).

01

You describe your app

Write a natural language prompt explaining what you want to build. Include details about features, pages, data models, and visual style. The more specific you are, the better the output.

02

The Architect analyzes your request

The AI Architect layer breaks your prompt into a structured plan: page routes, component hierarchy, Supabase tables, and data access patterns. It decides how to structure your application.

03

Code generation for frontend and Supabase backend

The Code Generator produces production-grade code: React pages with Tailwind CSS and shadcn/ui components, Supabase client integration, database schemas, and authentication flows.

04

Validation ensures quality

The final layer validates the generated code: type checking, build verification, and consistency checks. The result is a cohesive, working application — not isolated code snippets.

System prompt layers

The AI Builder uses a layered prompt architecture to produce high-quality, production-grade output. Each layer is a specialized system prompt that focuses on one responsibility.

1

Architect

Interprets the user prompt and produces a structured application plan including routes, components, endpoints, and data models.

2

UI Generator

Generates React pages, layouts, and components using Tailwind CSS and shadcn/ui. Handles responsive design, dark mode, and accessibility.

3

Code Generator

Generates React pages, Supabase client integration, database schemas, authentication flows, and all wiring — all following best practices.

4

Validation

Ensures the generated code is consistent, type-safe, and builds correctly. Catches errors before you see them.

AI engine

Rytora BuildLabs uses Claude (Sonnet) by Anthropic as its core AI engine. Claude excels at understanding complex requirements, generating structured code, and maintaining consistency across large codebases. The AI is called via API — no local models are required — so you always get the latest capabilities without managing infrastructure.

Prompt tips

Follow these guidelines to get the best results from the AI Builder.

  • Be specific about the pages and features you need — list them explicitly.
  • Mention the data models and their relationships (e.g., ‘Users have many Projects, each Project has many Tasks’).
  • Describe the visual style or reference a product you want it to look like.
  • Specify authentication requirements: public pages, protected routes, user roles.
  • Include integration needs up front: Stripe payments, email sending, file uploads.
  • Iterate in small steps — get the foundation right, then add features one at a time.

Want to learn more about writing effective prompts?

Check out our prompting best practices guide for detailed examples and strategies.