Technical Architecture
- NextJS application with TypeScript-first architecture
- Realtime events powered by Ably for interactive AI generation steps
- AWS-backed services for generation workflows and asset processing
Case Study
Pet Moment
Built AI-assisted photo-to-product experiences with scalable realtime flows and a conversion-focused storefront journey.
Delivery Roadmap
- Phase 1: Launch core AI photobooth and baseline commerce flow
- Phase 2: Add product customization and fulfillment integrations
- Phase 3: Improve retention with personalized content and offers
Outcomes
- Delivered an intuitive end-to-end flow from upload to purchase
- Improved product quality consistency in generated outputs
- Created a scalable base for future feature expansion
Overview
Pet Moment combines AI generation with emotional consumer intent. The challenge was making a technically complex workflow feel simple, delightful, and trustworthy.
Problem
Users needed a fast, clear experience from image upload to personalized products. Without strong orchestration and UX framing, generation-heavy experiences can feel slow and uncertain.
Solution
I focused on a product architecture that balances realtime feedback, predictable system behavior, and clean UX transitions across the customer journey.
Execution Notes
- Built resilient flows around asynchronous generation events.
- Improved UX clarity in key states: pending, ready, retry, and checkout.
- Kept implementation modular to support rapid experimentation and iteration.
What I’d Build Next
I would expand dynamic personalization based on user intent and purchase history, then introduce tighter experimentation loops for merchandising and conversion optimization.