Component intelligence for design systems and AI agents—source, usage, ownership, previews, and change impact.
Company page concept · interactive prototype
About the company
Elementic is exploring a clearer way for design system teams and AI agents to understand the components behind an interface.
When a component changes, the useful questions go beyond “where is the code?” Which screens use it? Who owns it? What does it look like in context—and which surfaces might need a visual check?
Our interactive prototype brings those questions together: component source and usages, ownership context, render previews, change-impact analysis, and recommended next actions. MCP is the planned interface for bringing that context into agent-assisted workflows.
We’re building for design system practitioners, frontend engineers, and the teams who depend on shared UI foundations.
Elementic is currently an interactive design prototype. Capabilities and integrations are under exploration. Percy and Chromatic references describe possible future integrations, not connected services.
Follow along as we explore what useful component intelligence should look like.
Three opening conversations
01 / Introducing Elementic
AI can help write a UI change. But making a good one also means understanding the system around it.
Which component should be reused? Where is it used? Who owns it? What could be affected?
We’re exploring those questions with Elementic: component intelligence for design system teams and AI agents. Our interactive prototype brings source, usage, ownership, previews, and change-impact context into one workflow.
This is an early design prototype, not a shipped product. We’re sharing it to learn from the people who maintain design systems.
What context do you wish your agent had before changing a component?
#DesignSystems #FrontendEngineering #AI
02 / Context before code
A component name is a starting point, not the whole story.
Before changing a shared Button, a team needs its variants, usages, owners, and affected screens. Elementic explores putting that context within reach of an agent-assisted workflow.
Chat is the entry point. Inspectable evidence is the important part: source locations, rendered states, dependency paths, and clear ownership.
The goal isn’t to have an agent make every decision. It’s to help people and agents decide what to inspect next.
We’re at the interactive prototype stage. Which piece of component context would be most useful to your team?
#DesignSystems #MCP #ProductEngineering
03 / Visual testing with context
“Test what changed” is useful. Explaining why a test was selected is even better.
Elementic explores tracing component relationships to propose visual checks for affected surfaces—and flagging where coverage is missing.
A missing story shouldn’t mean “passed.” A shared token change may need a broader run. Recommendations need evidence and human judgment.
We’re considering integrations with Percy or Chromatic rather than rebuilding screenshot comparison. These are future integration concepts, not live connections.
How does your team decide what to visual-test after a shared component changes?
#VisualTesting #DesignSystems #QualityEngineering
