Mockup-AI
Overview
AI-powered platform that generates production-ready web & mobile UI mockups from natural language prompts.
Mockup-AI is a full-stack generative design platform that converts natural language prompts into structured, high-fidelity website and mobile UI mockups. Powered by Gemini 2.0, the system interprets user intent and transforms it into structured layout JSON, which is rendered dynamically into responsive UI components. The platform enables designers and developers to prototype ideas in seconds instead of days, significantly accelerating UI/UX workflows.
The Challenge
Designing UI prototypes traditionally requires hours of manual wireframing and iteration between designers and developers. Early-stage founders and developers need a fast, low-friction way to visualize product ideas without spending days building mockups.
Obstacles Faced
Converting ambiguous natural language prompts into structured UI layouts
Ensuring generated designs are responsive across screen sizes
Managing multi-tenant project data securely
Optimizing LLM responses for consistent component structure
Rendering dynamic layouts in real time without performance drops
Feature Engine
- Designed a structured layout schema to guide Gemini responses into predictable JSON format
- Built a dynamic UI rendering engine that maps AI-generated JSON into reusable React components
- Implemented real-time resizing logic across 10+ interactive components
- Used Drizzle ORM with NeonDB for secure, scalable project persistence
Outcomes & Impact
Generated 200+ high-fidelity UI mockups
Reduced UI/UX prototyping time from days to minutes
Supported 500+ stored user configurations
System Architecture
AI → Structured JSON → Component Renderer pipeline
Server-side API routes for controlled LLM interaction
Multi-tenant architecture using Neon PostgreSQL
Optimized rendering using state isolation (Zustand)
Edge-deployed Next.js app for low latency
Interface Snapshots
Execution Lessons
Prompt engineering for structured output generation
Designing AI systems with deterministic output layers
Handling LLM inconsistency through schema validation
Building scalable multi-tenant SaaS architecture
Balancing AI creativity with UI predictability