A discussion of AI + Design and our shifting roles.

Practical guidelines for driving UX impact in organizations with legacy systems and broken processes.

A collaboration model that shined a light on how things could (no, should) be.

Most of us are still running product teams on a model that was designed for a problem we don’t have.

A digital story about extinction that people could actively explore.

Using Disney's animation principles to create SVG micro-interactions that feel way more natural and believable.

In an era of AI-generated-everything, AI-fatigued users want designs that look like they were made by a person.

There’s a question that never goes away in design: should designers code?

A small detail that builds trust through consistent accessibility.

How emojis and icons are often not traditional images that need special considerations to be screen reader accessible.

AI doesn’t threaten craft—the temptation to skip iteration does.

AI didn’t teach designers to code. It gave them back the decisions that were always theirs.

Comprehensive reference for designing AI experiences. 100+ patterns, visual examples, and reusable components.

EMA smoothing, split engage/disengage thresholds, and directional hysteresis prevent strobe effects without debounce lag.

Most AI tools optimize for speed. ProtoPie AI is built for validation. Here’s why that matters for design teams working at a professional level.

Trying to define Design Engineering today, and why the confusion around it turned out to matter.

Something has shifted in the way the design field operates, and we haven’t yet found the words or identified the exact schema for it.

Well-written informational microcopy should be clear, concise, and have character.

Design principles with references, examples, and methods for quick look-up.

Why building hated tools is often more impactful than building ignored ones.