I've been working on an app that uses AI for room redesign and wanted to share some interesting UX and technical challenges.
The App:
Decor AI upload a room photo, transform it with AI. Change walls, furniture, apply styles from reference images.
Challenges I Faced:
- Precision vs Prompts
Generic AI needs detailed text descriptions. But for room design, users want to just mark an area and pick a color. Had to build tools for area selection that translate to proper AI inputs.
- Style Transfer Without Words
Users see rooms on Pinterest and want "that vibe" but can't describe it. Built a Reference Style feature where users upload an inspiration image and the AI extracts and applies the style.
- Consistency
When users want variations, generic AI gives completely different rooms. Had to work on maintaining room structure while changing specific elements.
- Before/After UX
Unlike chat-based AI, users need instant visual comparison. Built a slider view for this.
- History and Iteration
Chat interfaces lose context. Had to build proper design history with ability to branch from any previous generation.
Takeaway:
Foundation models are powerful but generic. There's huge opportunity in building specialized UX on top of them for specific use cases.
Anyone else building specialized tools on foundation models? What challenges have you faced?
Happy to share more technical details if interested.
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