01
Challenge
A B2B SaaS platform connecting brands with communities — built end-to-end as a monorepo with a real-time Convex backend, a hybrid AI search engine across 85,000 communities, Stripe partnership payments, and a Shopify affiliate app. The main delivery challenge was to give users a maintainable interface and architecture that could absorb new requirements without slowing delivery, while keeping Brand portal, Admin console, and Shopify app consistent across the complete journey. We framed the engagement around the smallest production-worthy flow first, then expanded the scope without weakening the underlying component and data model.
02
How we built it
We began by mapping the user journey and the boundaries of the AI: what context it receives, what it may return, and where deterministic application logic must stay in control. We then built Brand portal, Admin console, and Shopify app as small end-to-end slices, connecting the interface to the data and model layers early so the team could test real responses instead of static mock-ups. Streaming and real-time states were treated as first-class UI states, including loading, partial output, retries, and recovery. The main implementation used Next.js, React, Loops + React Email, and WXT (Chrome ext), with typed contracts keeping the JavaScript stack consistent across the product.
03
Delivery
The delivered scope brought Brand portal, Admin console, Shopify app, and Chrome extension into one coherent production-ready product experience. Model output, product logic, and user feedback are separated clearly, which makes the AI easier to evaluate and evolve. For TRES, the practical result is a product that communicates its value quickly while giving the team a maintainable base for continued delivery in saas & infrastructure.
