I'm Carlos. I design products where getting it wrong costs something: a missed regulation, a patient dropping out of therapy, a booking flow used by 152M passengers.
I like the dense, unglamorous problems: AI features that have to earn their place, design systems nobody wants to fund, and data-heavy tools built to scale.
Design systems, AI, research, health. Pick one and see every project where I did it.
What was hard, what I tried, what changed. The screens come at the end.
Short essays on how design, craft and building are changing with AI
9 side projects I made because I wanted them to exist.
Everything here is also plain text, so your assistant reads the real thing.
14 years, 10 product teams
Travel, health and B2B software. I'd love to hear what you're working on.
DatamaranDatamaran design harnessA design harness that turns Datamaran's design judgment into rules AI agents and engineers can read: used to build production screens, and as the environment every prototype runs in.
DatamaranWhen the AI says "I don't know"Redesigning how an LLM's "unknown" becomes a short question the user can answer, with the legal source one click away.
AIDescribe FiltersA lab exploration on the oldest problem in table UI. You describe the rows you want in plain language, and the model hands back ordinary filter chips instead of an answer.
Product buildingHuecastA 2016 side project rebuilt ten years later. The idea held: colour carries the forecast, the numbers come second.
SystemGlyph SystemThree shapes, five relations, one glyph per post. I designed the grammar and a reference graph; AI turned them into a system that maps each post's idea to a shape, and keeps doing it for every new one.
ToolAI PatternsMost teams building agent UI solve the same ten problems from scratch. This is the shared vocabulary — production patterns for agentic UI, each paired with a machine-readable UX contract.