Imagine a world where AI could predict and mitigate the devastating effects of extreme heat. This isn't science fiction; it's the premise of "Save It for the 'Hot' Day," a research paper introducing Havior, an LLM-powered visual analytics system for heat risk management. Traditional numerical models, while useful, struggle to capture the complex interplay of environmental and social factors that influence heat-related risks. Havior addresses this by ingeniously integrating the precision of these models with the rich, contextual insights extracted from news reports using Large Language Models (LLMs). Think of it like this: the numerical models provide the raw data—temperature, humidity, and risk predictions—while LLMs analyze news reports to understand the real-world impacts, like how heat affects vulnerable populations or strains infrastructure. This combined approach allows for a more comprehensive picture, identifying specific threats and suggesting targeted mitigation strategies. Havior's interface is designed for intuitive exploration. A unique "thermoglyph" visualizes temperature and percentile data, allowing experts to quickly grasp a city's heat profile. News articles are clustered into topics, enabling focused analysis and discovery of hidden risks, such as water shortages or agricultural impacts. The system also allows experts to query the data with natural language, leveraging the power of LLMs to answer complex, contextual questions. Case studies on two cities highlight Havior’s potential. In Hong Kong, the system helped analyze the 2022 heatwave, revealing unexpected risks for mental health patients due to urban design factors like lack of green space. In Shanghai, the focus shifted to power grid vulnerabilities and conservation strategies. While LLMs have limitations, such as potential inaccuracies and biases, Havior demonstrates their potential to enhance human expertise in complex domains. By weaving together data analysis and AI-driven insights, Havior is pioneering a future where we can better prepare for and mitigate the growing dangers of extreme heat.