Service
Product, design and engineering leaders whose teams now build with AI tools such as Cursor, Claude or Figma MCP, and whose design system was written for people only.
Your design system was built for people. AI agents now read and build from it too, and they bring none of your team's context. They read what is written down and guess the rest, so screens drift off brand and the same fixes come back on every release. For the longer answer, read what is an agent-ready design system.
We map the system for Figma MCP, Code Connect, Cursor and Claude, so the same button means the same thing in Figma, in code and in what an agent builds.
With an agent-readiness audit. It takes two weeks, has a fixed scope and runs in your environment, so your code never leaves it. It shows which gaps cause the rework you are already paying for and which fixes pay back first. Teams that need the rules around an existing system, rather than new engineering, can start with design system governance.
Design system work on the site includes the MediaSilo multi-product design system and the Oliver Wyman web design system.
Your brand now has to resonate with people and register with machines. We build the operational skills and AI workflows that carry your brand consistently through every touchpoint, from your product and site to social and AI answer engines.
Pixels are commoditized. Brand-fluent, accessible systems aren't. Your team can ship the next screen. Keeping your fiftieth screen on-brand, on-pattern and on-business-logic is a different problem: design system governance, the discipline most internal teams haven't built yet. We've been designing since 2014, and we pair that experience with AI for what AI does well: parallel exploration, deep research and system-wide consistency. You get AI speed plus the discipline AI can't generate on its own.
We design and build websites on a modern content management system, written and structured so search engines and AI assistants can read, trust and cite them. Every site is built to be run after launch, by your team or by agentic web management.
The fastest teams decide with evidence, not opinions. We instrument products with tools like Pendo and run AI-assisted experimentation, turning real user behavior into a continuous loop of what to build, test, and sharpen next.
We developed a flexible, component-driven design system that streamlines MediaSilo’s suite of creative tools. It brings visual consistency, faster product development, and a cohesive user experience across multiple brands and platforms.
We created a scalable, component-driven web design system that modernizes Oliver Wyman’s digital presence. It brings consistency, accessibility, and efficiency across their global platforms.
Agent-ready design systemsBy Lindsey J
5 min read
Agentic product designBy Lindsey J
6 min read
FAQ
An agent-ready design system is one AI agents can build from safely. Each component carries machine-readable metadata, explicit anti-patterns and token semantics, so an agent knows when to use it and when not to.
We map design systems for Figma MCP, Code Connect, Cursor and Claude, so the same component means the same thing in Figma, in code and in what an agent builds.
No. Your component documentation stays the human-facing source of truth. The metadata sits alongside it, so your team browses the system visually and your agents query it programmatically.
Most teams start with an agent-readiness audit. It takes two weeks, has a fixed scope and shows which gaps cause the rework you are already paying for.
We design the products, websites and design systems your customers use and their AI agents act on.
