This article examines why AI-generated designs tend to be similar, attributing it to the way AI tools learn from existing patterns in their training data. It offers strategies for designers to break away from predictable outputs by using multiple AI tools, injecting specific constraints, and focusing on human creativity in the design process.

This article discusses the emergence of a new type of designer focused on artificial intelligence. It emphasizes the need for a dynamic field guide to capture the evolving practices, challenges, and insights in AI design.

Effective prompts for AI design and code generators are crucial for achieving high-quality outputs. A structured approach consisting of context, description, platform, visual style, and UI components can significantly enhance the design process by guiding AI in creating practical and visually appealing user interfaces.