Raven

Raven is a personalised event discovery app that combines an AI guide with a taste-based system for discovering electronic music events in New York City.

I led product and design across the project, developing the brand identity, product structure, UX/UI, design system, and front-end implementation, as well as contributing to the launch campaign and marketing materials.

A central part of the product is its taste profile and event matching system. I developed the concept and direction for a system that learns a user's preferences through visual and audio inputs, then matches their profile against events classified using the same parameters.

The AI agent sits at the centre of the experience, helping users explore events and navigate the platform through conversation alongside more traditional discovery tools.

The main challenge was creating an AI-driven product that feels personal and distinctive rather than like a generic AI interface layered onto an event directory.

The solution combines the conversational agent with a structured taste and event classification system, creating a more personalised way to discover events while giving the product a clear foundation for recommendations and discovery.

I developed a deliberately unconventional visual language around the product, creating the icons, illustrations, interface elements, and interaction details myself. AI was deeply integrated into the development process, allowing me to design and build the front end iteratively while maintaining full control over the UX and visual direction. The resulting system was implemented directly in the codebase to keep the experience consistent across the product.

The product launched on the App Store in September 2026, bringing together the AI agent, personalised matching system, custom product design, and launch identity into a single platform for discovering electronic music events in NYC.