Imagine a world where designing complex, interactive gadgets is as easy as chatting with a helpful AI assistant. That's the promise of a new Generative Design Tool (GDT) powered by large language models (LLMs). This groundbreaking tool empowers anyone, regardless of technical expertise, to create innovative devices using fluidic computation—a way of computing using air pressure instead of electronics. This approach opens doors to unique, electronic-free gadgets. In a recent research paper, a team explored how LLMs can revolutionize the design process for mechanical computation devices. Their case study focused on fluidic computation interfaces (FCIs), which use air pressure signals to control various outputs like shape changes, haptics, smells, or sounds. The GDT simplifies the complex process of designing these FCIs. Users start by describing their design goal to the AI assistant, like creating a "smart yoga mat." The AI then helps refine the idea, suggesting features like posture detection or breathing assistance. The tool guides the user through defining inputs (e.g., pressure sensors) and outputs (e.g., inflatable support). It even generates the underlying logic and provides a visual representation of the design, ready for fabrication. The research team tested the GDT by generating various design goals, from a posture-correcting chair to a smart pill organizer. The results were impressive, showcasing the tool's ability to produce diverse and functional designs. While the tool excels at generating creative ideas and handling the logic design, it still faces challenges with spatial reasoning tasks, like precisely positioning components. However, this research demonstrates the immense potential of LLMs in democratizing the design process for novel interactive devices. As the technology matures, we can expect even more intuitive and powerful design tools that bridge the gap between imagination and creation, ushering in a new era of personalized, interactive gadgets.