AI Experiments

Play is the spirit of innovation

This collection of AI-driven experiments uses my Vehicle Passport pet project to explore how emerging tools can support every stage of the UX design lifecycle. Organized into five categories, each experiment offers a playful yet purposeful look at how artificial intelligence might enhance design thinking, streamline workflows, and unlock new possibilities supporting the design and development of engaging digital product experiences.

Vibe coding experiments

I am fortunate and grateful to have served this extraordinary group of people and brands. Read all.

Using ChatGPT to Setup Windsurf and Apple XCode for Vibing a Native iOS Prototype

I’ve been following the vibe coding threads online, but until now, I’ve only been dabbling here and there. This was my first serious experiment at vibe coding. It’s a multipart experiment with this first part focusing on using ChatGPT to assist in the the setup of Windsurf (and XCode).

Ensuring AI-Generated iOS Interfaces Adapt to Every Device and Orientation

Experiences should adapt to the user’s device of choice. Before this experiment got away from me, I made a point to regularly pause and check that the foundational UI I was vibing in Cursor would scale gracefully across iOS phones and tablets—both in landscape and portrait orientations.

Stage 1: User Needs & Objectives

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

Giving Users a Voice: Avatar Generators for Presenting User Verbatim and Insights

Nothing will ever beat talking to human beings. Not even AI. But, lately I’ve been exploring new ways to bring user voices into the room—especially when the room is full of stakeholders. And not just quotes on a slide. I mean really bringing users to life.

Drafting a PRD with Claude and Perplexity (Pro)

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.

Stage 2: 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.

Using AI for Rapid Content Considerations and UI Patterns

Rushing to high-fidelity models in today’s AI-driven world is a smart thing to do. When potential risk to user adoption demands taking a more deliberate and methodical approach to the work at hand, AI can still be exploited to investigate content strategy and user interface pattern opportunities.

Stage 3: Information Architecture & Interaction Design

Arresting and Visualizing Complex Conditional Logic

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.

Stage 4: User Interface & Navigation Design

Stage 5: 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.