AI Experiments

Play is the spirit of innovation


This collection of AI-driven experiments explores how emerging tools can support every stage of the UX design lifecycle. Organized into five categories each experiment is a playful yet purposeful dive into how artificial intelligence can enhance design thinking, streamline workflows, and spark new possibilities for digital product experiences.

Vibe coding experiments

User Needs & Business Objectives

Exploiting AI sensibly to hasten, augment and replace the tasks, workflows and artifacts normally associated with alignment, strategy and empathy.

Functional Specifications & Content Requirements

Exploiting AI sensibly to hasten, augment and replace the tasks, workflows and artifacts normally associated with identifying, qualifying and aligning around functional and content requirements and patterns.

Information Architecture & Interaction Design

Exploiting AI sensibly to hasten, augment and replace the tasks, workflows and artifacts normally associated with identifying, qualifying and aligning around functional and content requirements and patterns.

User Interface & Navigation Design

Exploiting AI sensibly to hasten, augment and replace the tasks, workflows and artifacts normally associated with defining and designing navigation taxonomies and user interface design systems (Figma).

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Visual Design

Exploiting AI sensibly to hasten, augment and replace the tasks, workflows and artifacts normally associated with defining and producing branded visual design artifacts.

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➤ Experiments: Miscellaneous
I’ve been exploring a problem space in the automotive industry for a few years now—long before AI entered the spotlight. What started as a client-led Design Thinking project that ultimately stalled became a personal pursuit. After the client engagement ended, I continued the investigation on my own, initially applying classical product design methods to draft a PRD. Recently, I’ve returned to the project, now leveraging AI to push the work further.
There’s no AI that can arrest and visualize complex, conditionally-saturated funnels right now. Old school boxes and arrows. Enter at your own risk! Modeling human decision-making in task-heavy experiences is often a daunting and intimidating task for most designers. Early in my career, I learned best practices for arresting and visualizing complex branching logic and I still rely on those best practices today. I have yet to experience an AI agent or tool that can accurately mirror complex branching logic with any level of reliable detail. In fact, the AI tools I experimented with consistently achieved mild mediocrity and never consistency.