Design system architecture
Tokens, foundations and governance that let the system scale across products and themes.
- 1Design tokens (colour, type, space)
- 2Theming & dark mode
- 3Contribution & versioning
One coherent product, designed once, built everywhere.
Component libraries, design tokens, and user experience research that scales across products.
We design systems, not just screens. Tokenized component libraries, real user research, and accessibility built in from the first prototype keep your product coherent and fast to build on as it grows.
Tokens, foundations and governance that let the system scale across products and themes.
Production components in code, documented and tested in Storybook.
Evidence from real users that shapes flows before they’re built.
An audit against WCAG 2.1 AA with prioritised, developer ready fixes.
We don't bolt AI on at the end of a project. It's part of how we research, design, build, test and document every engagement, which is how a small senior team moves quickly without cutting corners. A person reviews everything the models produce.
AI audits your existing interface for inconsistencies and drafts component documentation; our designers define the system itself.
With your permission, briefs, tickets, call notes and analytics exports go into a private workspace. LLMs map requirements, edge cases and open questions, so nothing said in a workshop gets lost. People run the workshops; the model keeps the record.
First-pass screens, flows and copy variants are generated from the spec, then shaped by our designers. Decisions happen on a clickable prototype instead of a document, and the final design system stays human-made.
Engineers work with AI coding assistants for scaffolding, tests and refactors. Every change is read by a person and scanned by Caudilysis, our own static analysis platform, before it merges.
AI features get an evaluation set built from real examples, and every model or prompt change is scored against it. Everything else gets generated test cases that an engineer reviews and keeps in the pipeline.
Documentation, runbooks and release notes are drafted with AI and checked by the team. After launch, monitoring and usage data feed straight into the next iteration.
The indicative shape of a first engagement. Phases overlap on purpose, so we start building while discovery is still sharpening the plan.
This is indicative only. Every engagement is scoped with you before it starts.
You run more than one product, platform or brand.
Your UI has drifted, and it slows every release.
Accessibility is a requirement, not a nice to have.
Not sure it fits? A free assessment will tell you
# Service manifest service: Design Systems & UI/UX category: Engineering deliverables: • Design system architecture • Component library (Storybook) • User research & testing • Accessibility audits (WCAG 2.1 AA) stack: • Figma Design Systems • Tailwind CSS • Storybook • Radix Primitives • Design Tokens • WCAG Accessibility phases: 4 next_step: free assessment
Not always. Smaller teams often need only tokens and a core component set. We size the system to your product and team so it speeds you up rather than adding ceremony.
Figma for design, tokens synced to code, Tailwind CSS or CSS variables for styling, Radix primitives for accessible behaviour, and Storybook for documentation and testing.
Yes. We plan a gradual migration, replacing components screen by screen, so there is never a big bang rewrite.
Tell us what you're building, improving or automating. We'll come back with an honest view of where design system fits and the fastest path to production.
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