Storm

Storm's mechanics are the reason to use it. Rather than answering a question, it stages a conversation: one agent probes a topic as an expert, a second interrogates it as a learner, and the exchange surfaces angles a single prompt tends to miss. That transcript becomes the skeleton of a Wikipedia-style article with inline citations, exportable to Markdown or PDF. If you have ever spent two hours assembling a backgrounder from twelve open tabs, that loop is the value. Co-STORM is the newer half of the product. Where original STORM is one-shot, Co-STORM is described on the homepage as interactive knowledge curation — you participate while the research is being shaped. For an analyst mapping a new market or a grad student framing a literature review, that back-and-forth is often more useful than a finished document you have to reverse-engineer. Where it fits: broad, well-documented fields where the open web already holds plenty of material. Where it doesn't: narrow specialisms, primary experimental data, and anything time-sensitive — reports reflect web content at generation time, not the last hour. The honest caveats are the vendor's own. The terms of service call Storm a research preview with limited safety measures that may generate offensive content, warn that generated reports can make mistakes, and state that inputs — your topic, stated purpose, follow-up interactions, and feedback — may be collected, used for research, and distributed under a Creative Commons Attribution license. Do not type anything personally identifiable or confidential into it. Output that reads fluently is not output that is verified; check important claims against the cited sources.