At Bowlero, getting frontline workers to finish their training was a constant battle. So we made it a game. Quizzes, leaderboards, venue rivalries, real rewards. As Head of Product Design I led it hands-on, from employee interviews to the illustration style. The full case study is finally written up:

Check it out

Turning frontline training into a game with venue rivalries is a smart angle. Did the illustration style come from the employee interviews?

AI Agent Mobile App Project Goal:

This concept explores a modern AI Agent mobile experience that combines voice interaction, conversational AI, and workflow automation into a clean, intuitive interface. The goal was to design an AI assistant that feels natural to use while making complex automation tasks simple through chat and voice commands. The interface focuses on minimalism, clarity, and a premium user experience suitable for AI SaaS, Web3, and productivity platforms.

Problem:

Many AI agent applications are overloaded with technical information, making them difficult for users to understand and interact with. Managing AI workflows, deploying autonomous agents, and monitoring automation often requires multiple screens and a steep learning curve, creating friction for both new and experienced users.

Solution:

The solution was to create a streamlined mobile experience with three key interactions: task discovery, voice-based AI conversations, and real-time agent management. A clean visual hierarchy, conversational interface, and intuitive navigation reduce complexity while helping users deploy, monitor, and control AI agents effortlessly. The result is a modern AI product that balances functionality with an engaging user experience.