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Selected work

KAVALIER / CUSTOMER EXPERIENCE

Help clients see what they are buying.

A personalized AI lookbook that connects a fabric conversation to a visual buying experience.

Used in the sales workflowReact · TypeScript · Express · Gemini API · Playwright

The problem

Fabric swatches do not help every prospect imagine a finished custom garment on themselves. That uncertainty makes a consultative sale harder.

My contribution

I selected the sales problem, designed the customer workflow, and built the application with AI coding tools. I owned integration, debugging, and verification.

Decisions that mattered

  1. Use a style profile and client photo to make the output personally relevant.
  2. Connect a React and TypeScript interface to an Express backend and the Gemini API.
  3. Treat generated imagery as a sales illustration; it is not a verified pattern, fit prediction, or manufacturing specification.

What changed

The lookbook became a primary tool in the clothing sales process. Clients could discuss concrete visual options instead of relying only on swatches.

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