See the whole system
Map the messy reality first — the data, models, tools, and the people who have to trust the output.
Designing trustworthy AI for complex systems.
Alex Wan is an AI product designer who makes ML and Gen AI feel clear, controllable, and human.
At Microsoft: ML + Copilot. At VMware: first Gen AI assistant from 0–1.
Selected Work
A mix of shipped AI products, enterprise systems, measurable product impact, and independent AI experiments.
How I work
This is where I come in.
Most AI products don’t fail on the model — they fail on the moment a person has to trust it. My process is built to find and fix that moment.
Find the real tension
Locate the exact moment where uncertainty breaks trust or blocks a decision. That is the problem worth designing.
Make it steerable
Design so people can see what the AI is doing, correct it, and stay in control instead of guessing.
Ship it and measure
Instrument the funnel, watch real behavior, and iterate until the numbers and the experience both move.
Writing & AI Thinking
External articles on AI product design, multilingual model behavior, and human-AI interaction.
