UX flows & IA
The routes people take through the product, including the ones that go wrong, mapped before a pixel is styled.
From rough idea to clickable prototype in days, with a design system engineering can build.
Static mockups hide problems. We use AI-assisted prototyping to get from conversation to something you can actually use in days — then refine it with real reactions instead of opinions in a review meeting.
Compressed by AI tooling where it helps, deliberately slow where judgement matters.
Who is using this, what job are they hiring it for, and what does the current workaround look like.
AI-generated concepts in hours to explore several directions cheaply before committing to one.
A clickable build in Figma Make or Claude Code that you can put in front of real users.
Components, tokens, states and edge cases documented so engineering is not guessing.
AI has changed the front half of design more than any tool in a decade. We use it to widen the range of ideas we can test, not to skip the thinking.
Default: Figma as the single source of truth, with Figma Make to jump from a frame to a working prototype without a hand-off gap.
We generate several credible directions in an afternoon, then throw most of them away. Cheap exploration is the point — Claude Code takes the survivor to a real, interactive build.
Because we also build the product, designs arrive with the awkward parts already solved: empty states, error states, loading, long text and small screens.
Enough research to be useful, not so much that it becomes the project. Accessibility is checked as we go rather than audited at the end.
Where we draw the line. AI is excellent at producing plausible screens and poor at knowing which one is right. Every direction it generates still gets judged against the user’s actual job, the data model underneath, and what your team can realistically build.
The routes people take through the product, including the ones that go wrong, mapped before a pixel is styled.
Type scale, colour, spacing and components as reusable tokens, so the tenth screen costs a fraction of the first.
Something real to test with users, show investors, or hand to a developer without a translation layer.
Layouts that respect small screens and platform conventions instead of shrinking a desktop page and hoping.
The most expensive design is the one that looks beautiful and cannot be implemented on your stack, on time.
Tell us about your web, mobile, or agentic AI project — we'll get back with a tailored proposal, usually within a business day.