Storm

Storm is an AI research and writing system developed at Stanford University, accessible at storm.genie.stanford.edu. It approaches topic research by simulating a multi-perspective investigation process — the system generates a set of questions covering different angles of a topic, retrieves relevant content from publicly accessible web sources, and synthesizes the gathered information into a structured article with a table of contents, organized sections, and inline citations. The output format mirrors the structure of a Wikipedia article, making it suitable for knowledge documentation, research summaries, and structured content production. Users can review the sources consulted and the perspectives covered before the final article is generated. Storm is used by academic researchers and graduate students who need to produce literature overviews and structured topic summaries with traceable sources. Journalists and fact-checkers use it to gather a structured baseline of information on unfamiliar topics before beginning detailed reporting. Knowledge managers and documentation writers use it to draft structured explanations of technical or organizational subjects. Content writers working on SEO-oriented or educational articles use it to produce well-organized, factually grounded drafts that cover a topic comprehensively from multiple angles. The multi-perspective questioning approach means the system surfaces information that a single-angle search query might miss. Storm is entirely free to use and requires no account or subscription. As a Stanford research project, it reflects academic priorities around source transparency and structured knowledge output rather than commercial content production. A practical limitation is that output quality depends on the breadth and quality of publicly indexed web sources available on the topic — niche, technical, or recent subjects with limited online coverage produce thinner results. The generated article is a research draft rather than a final publication-ready document, and factual claims should be independently verified before the content is used in formal or public contexts.