GenRasi — a brand-native generative AI product, end to end.

Overview

GenRasi wanted to launch a generative AI product that didn't look or feel like every other AI tool on the market. The brief was unusually broad: brand identity, product UX, generative AI engine, and the launch site — all on one team, one stack, and one engagement.

The challenge

Most generative AI products converge on the same templated chat surface and same model defaults. GenRasi needed a product whose visual identity, prompting flow, and generation quality were custom to its audience — without giving up the engineering rigor required to actually run the thing in production.

Our approach

End-to-end build on a single stack: brand identity and design system, product UX with bespoke generation flows, retrieval and prompt orchestration tuned to the brand voice, and an eval suite scoring brand-fit across thousands of prompts. Shipped on Next.js + Supabase with full observability and rollback paths from day one.

The result

A live, brand-native generative AI product with eval coverage on every output path, observability into every model call, and a brand system extensible across web, social, and product surfaces.

Stack

Next.js 16Supabase + pgvectorClaude Sonnet 4.6OpenAI o-seriesLangfuse