The STORM AI research system, developed by Stanford University, leverages Large Language Models (LLMs) to conduct research using perspective-guided question asking in simulated conversations. Initially designed for web-based research, STORM now supports searching local document vector stores, allowing users to analyze internal data sets like the United States Federal Emergency Management Agency (FEMA) disaster preparedness and assistance documentation. This powerful research system mimics human research methods by iteratively refining document retrieval and synthesis, ultimately generating rich articles that can be used by humans in their pre-writing research.