Taste 1.0 introduces a model designed for creating design systems. It emphasizes the importance of having a structured set of guidelines, referred to as a “taste layer,” to ensure components align with a company’s specific conventions. The model generates components that adhere to established naming patterns, spacing, and accessibility standards, avoiding unnecessary new variants. This model consists of markdown files that capture the organization’s unique design decisions and preferences. A key concept is the distinction between “model system” and “model taste.” The model system refers to the base capabilities of AI, while model taste encapsulates your organization's judgment on what constitutes good design. By maintaining structured documents like ds-core.md and ds-components.md, teams can enforce rules about semantic tokens, component variants, and spacing preferences. This structured approach allows for consistent design output and helps avoid drift when multiple agents generate components. The article also discusses the necessity of routing tasks to specialized agents instead of relying on one general-purpose model. Efficient workflows depend on memory, routing, and specialization. A knowledge graph serves as the backbone, connecting various design elements and clarifying their relationships. This prevents inconsistencies, ensuring that all agents reference the same definitions and guidelines when creating components. Finally, the article outlines foundational layers for a design system: primitives (basic building blocks like colors and spacing), components (UI elements with defined rules), patterns (combinations of components for recurring problems), decisions (the rationale behind design choices), and taxonomy (how to categorize work). Future layers could include context engines to adapt the system based on user needs, enhancing the overall design experience.