Generated user interfaces (UIs) often end up being discarded because they don't align with actual product needs, such as branding, real data, and established design patterns. When AI tools create screens, they typically serve as placeholders, lacking the depth necessary for real-world applications. For example, when a generated UI needs to reflect a brand's style or integrate real data, designers have to start over, leading to wasted effort. The article emphasizes the importance of incorporating brand elements and real data early in the design process to enhance the value of generated UIs and keep them usable throughout product development. Starting with branding can streamline the design process. Tools like Anima allow for flexible branding adjustments without needing to rebuild layouts, making it easier for teams to gather feedback and evaluate options. Establishing typography, colors, and tone at the beginning reduces the amount of restyling required later. However, AI-generated branding often lacks the depth of a comprehensive Design System, meaning manual review for accessibility and content accuracy remains necessary. Using real data in generated UIs reveals potential user experience issues that static mock data can hide. These issues include empty states or error flows that mock data doesn't represent. By integrating tools like Anima and Cursor, teams can attach real databases to their projects. This approach helps identify problems early and gives a clearer picture of what's ready for iteration. However, relying heavily on data too soon can distract from validating core design concepts, and complex data structures often require manual setup, making full automation challenging. Lastly, many teams depend on established UI patterns that AI tools might overlook. When generated screens fail to use these familiar components, it leads to inconsistencies and additional work. By building on trusted design patterns from the outset, the generated UI can be more cohesive and easier to refine, ultimately improving the overall user experience.