A full e-commerce store — designed, built, and shipped with an AI-assisted workflow.
FreshCool needed a real store, not a brochure: a working storefront with its own UI and UX, running on a stack its team could operate. The build ran on Claude Design for the interface system, Claude Code for the implementation, WordPress + WooCommerce as the commerce backbone, and Hostinger for hosting.
- Claude DesignUI system
- Claude Codeimplementation
- WooCommercecommerce backbone
- Hostingerhosting
The brief: a store, not a brochure
FreshCool is a Qatar e-commerce business. What it needed was the whole surface a store lives on: a site with a clear visual identity, product pages a buyer can actually decide from, a path from discovery to cart to checkout that does not leak, and an admin side the team can run day to day without a developer on call. The constraint was the usual one — get all of that shipped without the timeline and cost of a traditional agency web build.
Design first: the UI system came out of Claude Design
Instead of static mockups, the interface was built as a design system in Claude Design: the layout grid, the component set — cards, navigation, product tiles, buttons, forms — and the visual language of the brand. Working at the system level rather than the page level meant every new page inherited the same rules instead of being redrawn from scratch, and design decisions could be tested as something close to the real interface rather than a picture of one.
Build: Claude Code as the implementation layer
Claude Code turned the design system into the working front end — templates, styling, and the integration code that binds the interface to the platform underneath. The loop that usually makes web projects slow is the handoff: designer draws, developer interprets, everyone reconciles. Here the design and the code came out of one connected workflow, so an iteration was a change, not a meeting. UX fixes — spacing, hierarchy, mobile behavior, the order of steps on the way to checkout — happened directly in code and were reviewed on the real site.
The commerce backbone: WordPress + WooCommerce
The storefront runs on WordPress with WooCommerce handling catalog, cart, checkout, and order management. That choice is deliberate: it is the most widely operated commerce stack there is, which means FreshCool's team can manage products, orders, and content themselves, hire for it locally, and extend it with standard plugins — no bespoke system that only its builder understands, no lock-in. The custom UI/UX sits on top of the standard machinery, integrated rather than replaced.
Shipped on Hostinger
Hosting is Hostinger — a pragmatic choice for a store this shape: straightforward WordPress deployment, sensible cost, and no infrastructure overhead the team would have to babysit. The build was deployed, wired to the domain, and handed over as a running store.
What this proves
An AI-assisted pipeline — a design agent producing the UI system, a coding agent implementing it — can carry a production e-commerce build end to end and land it on a standard, maintainable stack. It is the same working method behind the AI marketing systems I build: agents do the repeatable work, a human directs and owns the result, and the client is handed keys, not a dependency.
Scope note: this case documents the build and the stack — design, implementation, integration, and hosting. No performance figures are published for this engagement.
Frequently asked questions
What did the AI tools actually do on this build?
Claude Design produced the UI system — layout, components, and the visual language of the store — and Claude Code turned that design into working code: templates, styling, and the integration glue around WordPress and WooCommerce. The judgment calls (what the store needs, what to cut, what ships) stayed human.
Why WordPress and WooCommerce instead of a custom stack?
Because the store team has to run it after handover. WordPress + WooCommerce means catalog, cart, checkout, and order management on a standard, widely supported stack — the owner can hire for it, extend it, and is never locked into a bespoke system only its builder understands.
Does this AI-assisted workflow replace a development team?
It compresses one. Design iteration that normally bounces between a designer and a developer for weeks happens in hours, because the design system and the code that implements it come from the same connected workflow. A human still directs it, reviews it, and owns the result.