Sample Case Study Title
A one-line description of the project — a platform built to help merchants deliver best-in-class experiences.
March 2026 · Visit site
Overview
This project started with a simple idea: help merchants deliver better ecommerce experiences. I designed and built the platform from the ground up, starting with a collection of research-backed guidelines that grew into a suite of AI-powered features. Added via Ship Studio
It serves both sides of the modern storefront: the human customer and the agentic customer.
Start building better ecommerce experiences
Architecture
The platform is composed of five parts, each one handling a different job, from what users see to what happens behind the scenes.
Marketing site
Site builder
Web app
Next.js on Vercel
Auth middleware
Edge worker
Backend database
Postgres platform
AI layer
LLM provider
Features
Research-backed guidelines
I started with a foundation of research guidelines to bring clarity and consistency to the product. They translate best practices into a practical, usable standard that teams can apply directly. Everything else on the platform builds on this.
Placeholder Platform
Summary
Problem
Solution
Examples
Improving product range visibility
Summary
AI site scanner
I designed the scanner around the customer journey rather than a generic audit. Merchants see issues organized by stage, from home page to checkout, so they can prioritize fixes based on where customers actually drop off.
Readiness scores
AI agents are already shopping on behalf of consumers, and most stores aren't built for that. The score evaluates how well a store's structured data supports discovery, comparison, and recommendations, and explains the reasoning behind each result.
Placeholder Platform
AI assistant
Merchants need answers in context, so I designed an assistant trained on the platform's research. It gives specific guidance on everything from checkout flows to product page layout, without leaving the platform.
Notes
Beyond the product itself, this project served as a proving ground for what's possible with AI-native tools. Spanning product strategy, visual design, and full-stack development, these tools allowed me to work fluidly across the entire stack and approach the system as a whole.
Replace this section with your own tooling notes and takeaways.
See it live here.