Paper’s AI-native approach brings design and development closer by using HTML, CSS, and code as a shared foundation. Its visual tools can speed up the creation of brand assets, textures, illustrations, and interface concepts, while MCP connections help coding agents work directly with design outputs and reduce handoff problems. The discussion presents an iterative workflow in which agents generate variations, respond to feedback, and flag visual issues, while designers remain responsible for judgment and refinement. A crucial final step is editing with restraint: reducing excessive typography, contrast, boldness, and decorative elements often makes AI-assisted work feel more intentional. The speakers also examine why AI-generated interfaces frequently look alike, pointing to repetitive cards, predictable colors, weak hierarchy, and overloaded layouts. Stronger results come from clarifying the product’s value, refining hero sections and dark modes carefully, and balancing trust with personality. Paper’s broader strategy combines rapid experimentation, community feedback, product discipline, and expanding support for components, comments, prototypes, and organized AI-assisted workflows.