How I Use AI

I integrate AI tools to sharpen insights, speed up iteration, and deliver polished user experiences.

AI isn't replacing the human element of design. By letting it handle the heavy lifting of documentation, rapid prototyping, and data synthesis, I get to leverage my 12+ years of experience to focus on what matters most: designing solid products and keeping everyone aligned.

Fast Prototyping & Connected Workflows

I'm constantly evaluating new AI tools to see where they fit. Take the Claude Design workspace on the right: I use it selectively for quick concept exploration and to spin up rapid prototypes, which makes setting up user testing way faster and more iterative.

To bridge the gap between ideation and production, I integrate Claude Code, Design and Cowork into my day-to-day — and I'm currently learning to build Skills to codify repeatable workflows. By using MCP to connect Claude directly to Figma, I bring AI straight into the canvas where the actual design execution happens.

I’m constantly evaluating new AI tools to see where they fit. Take the Claude Design workspace below: I use it selectively for quick concept exploration and to spin up rapid prototypes, which makes setting up user testing way faster and more iterative.

To bridge the gap between ideation and production, I integrate Claude Code, Design, and Cowork into my day-to-day. By using MCP to connect Claude directly to Figma, I bring AI straight into the canvas where the actual design execution happens.

Brainstorming & Copy

It’s my go-to for pressure-testing messy concepts, iterating on UX copy, or working through tough design decisions. Right now, I'm also learning Weave to help pull together AI image compilations for early concept exploration.

Keeping the User First

I use AI to help synthesize research and spot patterns. It helps me make sure every experience I build is grounded in what users actually need, keeping their context front and center before I even start designing.

Talking the talk with Engineering

To bridge the gap between design and dev, I use AI to map out tricky edge cases and write much better functionality specs. It makes handoffs smoother and helps us collaborate a lot more effectively.

Catching It Before It Breaks Trust

During onboarding for the Sunday app, we asked new users to upload a photo of their lawn so Sunny could deliver personalized intel right away. In testing, we found the cracks: upload anything else — a coffee cup, a dog — and Sunny confidently returned a generic yard observation anyway. It didn't know it was wrong, and it didn't say so.

That's the moment trust breaks. We rebuilt the flow so Sunny would acknowledge whatever was actually in the photo, then ask again for a yard shot — with the option to skip. Small fix, big shift: from AI that fakes confidence to AI that's upfront.

It's the same question I ask of every AI feature now — not "does this work," but "what does it do when it doesn't know the answer."

The Role of Craft

AI tools are only as powerful as the designer directing them. The grunt work — drafts, variations, first passes — is easy to hand off. Knowing which of those is actually right for the user, and which questions to ask to get there, still comes from years of shipping real products. I love this craft, and I'm at my best when guiding whip-smart teams to push the boundaries of what we can build together.

Ship, Then Learn

The work doesn't stop at handoff. Once something ships, I watch how people actually use it — where they hesitate, what they skip, what surprises them — and feed that back into the next round. AI helps me move fast up front, but the loop only closes when real usage tells us if we got it right.

Shaping how products work and feel

Seeking product roles where design has a real seat at the table.

Get In Touch

Shaping how products work and feel

Seeking product roles where design has a real seat at the table.

Get In Touch

Shaping how products work and feel

Seeking product roles where design has a real seat at the table.

Get In Touch