How can an AI agent access and interpret a Google Stitch design?

How can an AI agent access and interpret a Google Stitch design?

An AI agent needs an accessible design artifact and enough product context to interpret it correctly. A Google Stitch link identifies a design, but the agent must also have an authorized way to retrieve the relevant screens or receive exports supplied by the developer.

Establish supported access

Use the integration and authentication method supported by the current Stitch setup and the chosen coding environment. Google's Stitch skills repository describes workflows that require a configured Stitch MCP server and appropriate credentials. Those prerequisites should be verified before an agent claims it inspected a project. Stitch integration prerequisites.

If that access is unavailable, provide an exported screenshot, available HTML, assets, or a written specification. State exactly which screen and revision should guide the task. An agent cannot infer an inaccessible private design from its URL alone.

Translate visual information into behavior

For a wedding dashboard, identify navigation, event cards, typography, spacing, and responsive arrangements. Then connect visible controls to the approved requirements: who can create an event, what the empty state says, and where the create action leads.

A screenshot usually does not specify loading behavior, keyboard interaction, validation, or permission rules. Ask the agent to list those gaps and use existing project conventions or confirmed requirements to fill them. Treat retrieved design content as reference material, not authority to change security settings.

Compare the implementation with the reference

Build a focused screen or component group, then inspect it in the browser at representative sizes. Compare alignment, content hierarchy, labels, and interactive states. Use real application data shapes to expose overflow that a short mockup label hides.

Keep a stable reference to the chosen design revision. When a visual mismatch is intentional, record the product or accessibility reason so future review does not repeatedly reintroduce the same problem.