Audience-led navigation and fashion collection discovery
One connected build
From shop data to a live business experience.
AI works through Selldone MCP, turns approved business data into the experience, then prepares a reviewable launch.
- 01 Connect the shop Scoped Selldone MCP access
- 02 Shape real data Catalogue, products, pricing, and operations
- 03 Build the experience AI creates every responsive surface
- 04 Review and launch GitHub to Cloudflare, with approval
See the complete build logAll 4 verified steps and outcomes
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01
Connect the intended shop
Use an approved Selldone MCP connection for the shop that should receive the storefront. Keep its categories, product media, variants, prices, stock, and settings as the source of truth.
A clear, authorized scope for the storefront work. -
02
Audit audience and fit data
Review the audience taxonomy, product types, colour-size variants, inventory, size guidance, and promotions before changing the interface or filling any gaps.
A factual fashion brief grounded in the connected shop. -
03
Adapt the visual pattern
Apply the audience-led hierarchy and editorial discovery pattern while replacing the reference content, assets, copy, and brand treatment with approved materials.
A business-specific interface without copied protected identity. -
04
Review before launch
Check the storefront at responsive widths, verify variants and purchasing flows, then prepare a repository, Cloudflare build, and domain only when their owners approve them.
A reviewable path from local build to authorized launch.