prompt-engineering-ui

Generate design-consistent UI components by injecting design tokens and using component contract patterns to specify explicit props and states for the LLM. This ensures brand consistency and precise visual specifications in the generated output.

Component contracts define UI components with explicit props, states, and visual specifications before prompting the LLM. This pattern provides a structured boundary that ensures the generated component meets exact functional and visual requirements.

Refine inconsistent AI UI output using structured feedback loops, diff-based changes, and A/B variant requests. Constraint-first prompting and visual reference chaining help iteratively guide the LLM toward precise visual adjustments.

Yes, UI prompt engineering requires no external dependencies. It provides self-contained prompt patterns and reference structures to define state machine specifications and constraints directly within your text prompts.

The best way to prompt for component states is using component contracts to explicitly list hover, focus, and disabled states, combined with design token injection to enforce exact visual styling rules.

LLMs ignore design tokens when prompts lack constraint-first structuring. Embed tokens directly using design token injection patterns and specify component contracts to force the model to recognize and apply brand styling.