AI tattoo ideas & design generation
Tattoo AI Design: Inked
Inked helps users generate and explore tattoo concepts across styles with a fast, mobile-first workflow.
LiveBuilt with company team
Impact
Role
Mobile + backend support
Status
Live
Focus
AI tattoo ideas & design generation
Platform
iOS / Android
What I did
- 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.
Highlights
- Mobile flow development for high-frequency generation use cases
- Backend integration support when needed for scalable generation
- Quality-first UI details and stable release behavior
Challenges
- Supporting high-frequency creation loops (generate → refine → save) without UI fatigue.
- Balancing quality controls (style, constraints) with a workflow that stays ‘one-tap simple’.
- Preventing drop-offs by making credits/subscription moments feel natural and non-blocking.
- Keeping the app stable while experimenting with new styles, prompts, and flows.
Architecture and delivery
- State-driven UI for generation pipelines (idle → generating → result → refine) with clear transitions.
- Reusable UI components for style selectors, prompt helpers, and results grid to keep consistency at speed.
- Network abstraction for generation endpoints + consistent error surfaces (empty states, retry patterns).
- Scalable assets pipeline for storing favorites/history while remaining backend-ready for expansion.
Tech stack
FlutterMobileBackend (as needed)
Problem
Users struggle to translate an idea into a clean tattoo concept and want quick variations across styles.
Solution
A guided generation flow with fast iteration and a mobile UX optimized for browsing, saving, and refining designs.
Outcome
Live on the App Store with a foundation designed for scalable content generation and future feature growth.