How to design AI products that get cited by LLMs
Discovery & strategy
we audit your AI product's core value and identify where users need to understand how decisions are made and where data comes from.
Data veracity design
we design interfaces that clearly convey data reliability through source citation, decision explanation, and comparative examples that reassure users of accuracy.
Integration & handoff
we embed with your Product, AI, Design, and Engineering leads over 4–8 months, work inside your Figma and delivery stack, and leave you with a system your team can own.
Real outcomes from AI product design work
AI products shipped across legal, research, search, and sales
Industries we ship in
Clients on working with us
“The project was completed on time and on budget, and we were able to release each part as needed with raving reviews from our customers. We mostly interacted with the project manager, through Slack and Figma which was extremely efficient. We were worried about the timezone difference but they were always available for most of our workday when needed and all of our meetings were in the morning (EST). Their design is extremely good, but their structure and processes are their superpowers. I've never worked with a vendor operating so well, especially on a creative job. We've decided to rely on them for all of our design going forward instead of hiring full-time product designers, so we're VERY pleased. As with every external contributor, we wish they understood a little bit more of how our product works, but that's on us and it's something we've noticed is getting better with new projects.”
