Imagine effortlessly designing your dream home simply by describing it. No more struggling with complicated design software or expensive architects—just tell an AI what you want, and watch it create a floorplan. This seemingly futuristic concept is now closer to reality thanks to innovative research using Large Language Models (LLMs). Researchers have developed a two-phase system called HouseLLM that translates your textual descriptions into detailed floorplans. It starts with an LLM, similar to the technology behind ChatGPT, to interpret your needs. Want a three-bedroom house with a large kitchen and a balcony off the living room? Just type it in. The LLM, guided by a “chain of thought” prompting technique and examples of existing layouts, generates an initial floorplan design. This initial design is then refined in the second phase by a powerful diffusion model. Diffusion models are known for their ability to generate high-quality images, and in this case, it refines the LLM's rough sketch into a polished, professional-looking floorplan. This two-step process combines the LLM's understanding of natural language with the diffusion model's precision in spatial design. Experiments show HouseLLM significantly outperforms existing automated floorplan generation methods, producing layouts that are more realistic, diverse, and compatible with user specifications. Think of the possibilities: quickly experimenting with different layouts, easily visualizing your dream home before construction, and even empowering non-experts to participate in the design process. While this technology is still under development, it offers a glimpse into a future where AI plays a pivotal role in architecture and design. Challenges remain, such as ensuring the AI understands complex spatial relationships and incorporating building codes and other constraints. However, the initial success of HouseLLM paves the way for more intuitive and accessible design tools that can transform how we build our homes.