The Problem

Building a custom AI assistant is often an overwhelming, highly technical process that alienates non-developer users. Furthermore, many AI startups suffer from fragmented user journeys where the marketing site looks completely disconnected from the actual software. Bazinga AI needed a unified, intuitive experience that guided users seamlessly from discovering the product to successfully configuring and deploying their own AI agents.

The Process

1. Visual Identity & Design System Foundation

Before touching the complex application logic, I established the core brand language. I developed the logo and brand book, but rather than treating them as static graphic assets, I immediately translated them into a scalable UI design system. By defining global design tokens (typography, color variables, spacing), I ensured visual consistency across every future touchpoint.

2. Marketing UI & Conversion Flow

With the design system in place, I designed the top-of-funnel web experience. The goal here was not just visual appeal, but conversion architecture—crafting clear messaging, intuitive navigation, and strategic calls-to-action designed to funnel visitors smoothly into the application's onboarding flow.

3. The Agent Creation Flow (Core UI/UX)

The heaviest lift was designing the application interface where users actually build their AI. I approached this by breaking down the technical complexity into digestible steps:

Conclusion

I delivered a fully interactive, end-to-end Figma prototype and a comprehensive component library. By owning the process from the foundational branding all the way through to the complex application logic, I eliminated the typical friction between marketing and product design. The result was a cohesive, dev-ready system that allowed the engineering team to begin frontend implementation immediately without needing to guess at interaction states or design rules.