This is a review trust packet. The live site audit covered the homepage, opinions index, search route, and GPT Image Lab at desktop and mobile sizes. The verdict was good but not finished: Chopshopr had strong proof density, but a first-time visitor still had to infer the value path.
Use the shadcn/ui and Radix pattern, not a new runtime dependency. Copy the idea: accessible primitives, beautiful defaults, owned code, small components, explicit states, and source-visible receipts. Do not turn the static public site into a React component-library migration just to borrow button anatomy.
The first-time audit
A new person walking into Chopshopr should understand three things in five seconds: what to try, why the output is trustworthy, and where the proof lives. The GPT Image Lab already carries the strongest wow factor because it is visual, inspectable, and tied to a receipt. The homepage already pointed there. The missing layer was an immediately legible value path before the visitor scans deeper into the proof cockpit.
The applied homepage change is small on purpose: a three-step value rail now tells the visitor to try the lab, review the UI choice, and find the receipt. The start section also includes this UX kit review as a working route, so the design decision is part of the product evidence rather than an internal preference.
What the best kits are optimizing
Why shadcn plus Radix wins this site
shadcn/ui is explicit about not being a traditional component library: it distributes code that teams own. Radix UI is explicit about accessible unstyled primitives. Together they point to the same operating rule Chopshopr needs: no hidden magic, no vendor-shaped look, no framework jump unless the route earns it.
The best product lesson from these kits is not a color palette. It is the way they preserve component anatomy: named state, keyboard path, focus path, label, action, fallback, and composition. That maps cleanly to Chopshopr's promise that AI artifacts should expose prompt, backend boundary, export, and receipt.
Lead with the working route
Put the GPT Image Lab before library language, because wow has to be usable first.
Own the markup
Use shadcn/Radix anatomy as the pattern while keeping the static HTML contract local.
Publish the decision
Make the comparison, sources, and outcome a public route instead of a private note.
Test the path
The change should survive search ranking, sitemap coverage, smoke checks, and mobile screenshots.
The outcome applied
The homepage now uses a compact value rail with numbered steps. That is the shadcn/Radix lesson translated into Chopshopr HTML: a primitive with label, state, destination, and proof role. The start grid now includes this review packet next to the lab, practice loop, local MCP setup, and QR path. A visitor can experience the product, inspect the design rationale, and search the proof trail without needing the maintainer in the room.
ux_decision_packet:
audit_scope: home, opinions, search, image lab
winner: shadcn/ui pattern + Radix primitive discipline
dependency_change: none
applied_surface: homepage value rail and UX kit review route
verifier: route, search index, sitemap, smoke, tests, mobile screenshot
falsifier: visitor cannot name the next action in five seconds
What would make this wrong
This decision weakens if the public site becomes a stateful React app, if most future surfaces need complex overlays and composed focus management, or if the team starts shipping many repeated product screens faster than local HTML can absorb. In that world, React Aria, Mantine, Chakra, or a fuller shadcn/ui install deserves another evaluation. For the current static site, the right move is smaller: adopt the best primitive discipline and keep the proof path inspectable.