ia-frontend-design

To prevent AI-generated React frontends from looking generic, apply a design workflow that actively avoids banned AI aesthetic patterns, requires variance parameters, and establishes a three-sentence design philosophy before writing code.

To build Next.js App Router UIs safely, enforce Server and Client component boundary rules during interface generation, ensuring interactive states and performance guardrails are correctly placed without violating the architecture.

To make an AI landing page match an existing Tailwind design system, detect current design tokens, typography, and motion patterns first, then extend that existing system rather than imposing new external aesthetics.

Production-ready dashboards require UI guardrails that enforce loading, empty, error, and tactile press interactive states, alongside mobile collapse rules and performance constraints to ensure visual cohesion and robustness.

Yes, this frontend design workflow applies to TypeScript components and explicitly checks dependencies before adding any new libraries, ensuring your project remains lightweight and avoids bloat.

AI generated dashboards often lack loading and empty states because standard generation does not enforce interactive state guardrails; a disciplined UI workflow is needed to verify these states are explicitly implemented.