stitch-design-taste

To generate consistent UI design specs for agents, encode visual atmosphere, typography, color tokens, and motion physics into a structured DESIGN.md file. This provides a single-source-of-truth for automated UI generation, removing prompting ambiguity.

A DESIGN.md file for UI generation encodes a premium, opinionated design system into agent-ready semantics. It translates subjective design intent into explicit hex color tokens, font stacks, responsive rules, and motion parameters for reliable automated screen generation.

To translate design guidelines into Google Stitch semantic descriptions, convert product briefs into agent-friendly parameters. Map layout principles, component interaction states, and motion intent into Stitch-friendly formats to ensure visual generation is consistent across iterations.

Yes, you can use calibrated color tokens and typography specs to prevent generic AI UI screens. By defining explicit hex values, font stacks, and a detailed anti-patterns list, the system enforces non-generic visual rules during automated prompting and verification.

The best way to document motion physics and component states for automated workflows is to encode them in a structured design system file. Explicitly define motion physics parameters, component interaction states, and responsive constraints as agent-ready semantic descriptions.

Screen-generation agents produce inconsistent designs due to prompting ambiguity and lack of a single-source-of-truth. Providing a structured DESIGN.md with explicit color tokens, typography specs, and anti-pattern bans translates subjective intent into reliable, consistent visual generation.