AI Interior Design: HomeGPT

• Built and refined key mobile flows with production-grade UX and reliability.
• Supported backend integration points where needed to scale generation/processing workflows.
• Helped maintain stable releases with iteration-friendly structure and clean UI patterns.

• Mobile feature development with product-grade UX
• Backend-ready integration points for scalable generation flows
• Production-quality architecture and iteration-friendly structure

• Keeping generation flows fast and reliable under variable backend latency.
• Designing a photo-first UX that feels simple while still guiding users to better results.
• Handling edge cases (large images, slow networks, retries) without breaking the user journey.
• Building a structure that supports rapid iteration of prompts, styles, and UI experiments.

• Feature-based modular structure (generation, history, paywall, settings) for clean ownership and iteration.
• Typed API layer with request/response models and predictable error handling (timeouts, retries, fallbacks).
• Caching + optimistic UI for smoother perceived performance across browse/regenerate flows.
• Analytics-ready event naming and funnel points to support product decisions without UI clutter.

People want quick, visual interior inspiration but traditional design tools are slow and complex for casual users.

A photo-first flow that generates design directions quickly with a clean mobile experience and scalable integration points.

Live on the App Store, optimized for fast exploration and future expansion of styles, categories, and personalization.