WEB & MOBILE DESIGN

From rough idea to clickable prototype in days, with a design system engineering can build.

Product Design

Design you can click in the first week

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.

  • Prototype firstClickable flows early, so decisions are made against reality
  • Built by the same teamDesigners sit with the engineers who will implement it
  • Systems, not screensComponents and tokens that survive the next ten features

How a design engagement runs

Compressed by AI tooling where it helps, deliberately slow where judgement matters.

  1. Understand

    Who is using this, what job are they hiring it for, and what does the current workaround look like.

  2. Rapid mocks

    AI-generated concepts in hours to explore several directions cheaply before committing to one.

  3. Prototype

    A clickable build in Figma Make or Claude Code that you can put in front of real users.

  4. System & handover

    Components, tokens, states and edge cases documented so engineering is not guessing.

Our design toolkit

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.

Design & systems

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.

  • Figma
  • Figma Make
  • DTDesign tokens
  • Storybook
  • Framer

AI-assisted ideation

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.

  • Claude
  • ChatGPT
  • QAQuick AI mocks
  • Claude Code prototypes

Handover to engineering

Because we also build the product, designs arrive with the awkward parts already solved: empty states, error states, loading, long text and small screens.

  • React
  • Tailwind
  • HTML5 / CSS3
  • Storybook

Research & validation

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.

  • UIUser interviews
  • UTUsability testing
  • AWAccessibility (WCAG)
  • ARAnalytics review

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.

What you get

UX flows & IA

The routes people take through the product, including the ones that go wrong, mapped before a pixel is styled.

UI design system

Type scale, colour, spacing and components as reusable tokens, so the tenth screen costs a fraction of the first.

Interactive prototype

Something real to test with users, show investors, or hand to a developer without a translation layer.

Responsive & native patterns

Layouts that respect small screens and platform conventions instead of shrinking a desktop page and hoping.

Design that engineering can actually build

The most expensive design is the one that looks beautiful and cannot be implemented on your stack, on time.

  • Every state designed: empty, loading, error, long content
  • Components mapped to real front-end code, not just frames
  • Contrast and keyboard access checked against WCAG
  • Mobile behaviour specified, not left to interpretation
  • Designers available during the build, not gone at handover
  • Source files handed over and owned by you