Imagine getting instant, insightful design feedback without needing a human expert. That's the promise of a new AI-powered approach to design critique. Researchers are exploring how to make AI a more effective design partner, able to analyze visuals, understand design principles, and provide specific, actionable feedback. Traditionally, design critique relies on human experts, which can be time-consuming and expensive. Automating this process could revolutionize design workflows, allowing for faster iteration and improved designs. However, current multimodal AI models, while impressive in many areas, often struggle with the nuanced task of design critique. They can have difficulty generating detailed, visually-grounded feedback that's truly helpful to designers. This new research tackles this challenge head-on by introducing a method called iterative visual prompting. The core idea is to let the AI refine its feedback in multiple steps, similar to how a human designer might revise their initial thoughts. It starts by generating text comments about a design, then iteratively refines those comments alongside corresponding bounding boxes that visually pinpoint the area of feedback on an image of the design. Crucially, this process uses visual prompting, providing the AI with coordinate markers and zoomed-in views of the design to improve its visual understanding. Experiments showed that this approach significantly enhances the quality of AI-generated design critiques, bridging the gap between AI capabilities and human expertise. Human experts generally preferred the feedback generated by this method compared to existing baselines. What's more, this technique isn't limited to just design. The researchers found that it also improves performance in other visual tasks like open-vocabulary object and attribute detection. This suggests a broader applicability of iterative visual prompting for enhancing AI's understanding of visual content and its ability to generate relevant, grounded textual descriptions. This research opens up exciting possibilities for the future of design. Imagine AI seamlessly integrated into design tools, providing real-time feedback and even suggesting design improvements. While challenges remain, like improving the accuracy of the AI's validation steps, this iterative visual prompting technique represents a significant step toward making AI a more valuable partner in the design process.