2026
AI for Designers
At IBM, I’m building the security design org to work AI-first. The centerpiece: a pipeline I developed that turns a product requirements document into a full design deliverable. No Figma.
The output is a single interactive file with a feature-by-feature brief, annotated wireframes, and a written comparison of alternative approaches; ready to share with a team in 30 minutes instead of weeks.
º01 — FEED
requirements + research
A requirements document and any user research you have. That’s the entire input.
º02 — WORK
It works like a seasoned designer
Synthesizes the research, defines job stories, maps the user journey, generates multiple design directions, and commits to a recommendation with documented rationale.
º03 — SHIP
UI Showcase
A single interactive file: a showcase of the major pieces of UI, a feature brief, annotated wireframes, and a written comparison of multiple alternatives ready to share with a team.
instead of weeks
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Using data as a tool for design
You know how Spotify can create a custom playlist with songs you love but have never heard of? How TikTok can give you super niche recommendations? And how a Tesla can drive itself? All of that is possible because of data.
This is a short primer to get designers thinking about how data can be used as an instrument to create new design ideas. This resource started when I needed to help designers at Capital One level up and become more data-savvy. Over time, it helped to speed up the delivery of design work since our users are so technical. I continued to develop it for a more general audience over time.
🎥 Why your Netflix thumbnails don’t look like mine (5m49s)
A small practical example of how Netflix uses data to improve your watching experience.
🎥 How AIs, like ChatGPT, Learn (8m54s)
ChatGPT is all the rage, understanding how it works can help you get the most out of it.
🎥 What is the DIKW - Data, Information, Knowledge, Wisdom
pyramid (3m47s)
This is a model of how to think about layers of data. DIKW stands for Data, Information, Knowledge and Wisdom.
🔗 Six AI Terms UXers Should Know by Reena Jana and Mahima Pushkarna
The short article lays out some foundational knowledge for some of the most important terms in this emerging field, discusses what AI is and the difference between AI and machine learning
Click here
📕 Hello World: Being Human in the Age of Algorithms by Hannah Fry
Hannah Fry is a British mathematician and a science communicator. You’ll find a lot of her content on Youtube, mostly around math, or maths as she would say it. Hello World is a great introduction on how data, algorithms and computers help run our world and our lives. It helps to give you some perspective on how data can be used, for good and for not-so-good. She also writes about the limitations of these systems and how we can ensure that they are used ethically. I would call this a must-read for anyone who works in the world of technology.
Click here