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STORM
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STORM

Stanford's AI system that researches topics and writes cited reports

4.8rating
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About STORM

STORM is a fascinating AI tool developed by Stanford University that aims to revolutionise how we gather and present information on various topics. At its core, STORM generates comprehensive reports that are akin to Wikipedia entries, automatically sourcing and citing information based on user-defined queries. The standout feature here is Co-STORM, which transforms the research process into an interactive experience. Users can navigate through dynamic mind maps, visualising information in a way that encourages deeper understanding and exploration. It’s not just about reading; it’s about engaging with the content, which is a refreshing take on traditional research methods.

One of the aspects I found particularly interesting is how STORM handles multiple perspectives on a topic. Instead of providing a single narrative, it weaves together various viewpoints, which is essential for thorough academic research. This feature could be a boon for students, researchers, or anyone needing to grasp the nuances of a subject quickly. The AI processes a vast amount of information, pulling from a range of sources, which is a significant time saver for anyone who might otherwise have to sift through numerous articles and papers to compile a report.

Now, let’s talk about the money—or lack thereof! The beauty of STORM is that it’s completely free. That’s right; no hidden fees or subscription models. This makes it accessible to anyone with an internet connection, from students on a budget to professionals looking to enhance their research capabilities without breaking the bank. However, it’s essential to understand that being a research prototype, it may not have the polish or additional features that you might find in more established tools. Users should keep their expectations in check regarding the depth and breadth of the reports generated.

While I appreciate STORM's ambition and the potential it holds for transforming research, it’s not without its shortcomings. The interface can feel a bit clunky at times, and the mind maps can become overwhelming if you’re exploring a particularly complex topic. Additionally, since it relies heavily on existing information, the reports it generates are only as good as the data it pulls from. This can sometimes lead to gaps in coverage for niche topics that don’t have extensive online resources. Overall, STORM is an exciting tool for those looking to explore and understand subjects in a new way, but it might not replace traditional research methods just yet.

Our Review

Verified 11 May 2026

Reviewed by Delv Editorial, Delv Team

I recently had the chance to put STORM through its paces, and I have to say, it’s a unique tool. Developed by Stanford University, it’s designed to help users generate comprehensive, cited reports on a variety of topics, which is a pretty impressive feat for an AI. The standout feature is Co-STORM, which allows you to create mind maps that visually represent information. Now, I’m not going to lie; when I first tried it, I was a bit daunted by the interface. The mind maps can get quite cluttered, especially when you’re tackling a complex subject. However, once I got the hang of it, I found it helps to break down information in a way that traditional text doesn’t.

What really impressed me was the breadth of perspectives STORM provides. It doesn’t just regurgitate one narrative; it pulls in multiple viewpoints, which is vital for anyone serious about understanding a topic in depth. For instance, I tested it with a query on climate change, and the report generated not only included scientific data but also social, economic, and political perspectives. This makes it a fantastic resource for students and professionals alike, especially those who need to present a well-rounded argument.

However, it’s not all sunshine and roses. As a research prototype, it does have its quirks. There were times when the reports felt a bit shallow or missed out on niche topics because the AI relies heavily on existing online resources. This means if you’re diving into a less popular subject, you might come up short. The interface can also feel clunky, and I found myself wishing for some additional features like advanced filtering options or customisation.

When I compare STORM to competitors like Zotero and Mendeley, it’s clear that STORM’s strength lies in its ability to generate reports quickly and visually. However, if you’re looking for a citation management tool or detailed PDF management, you might be better off with one of those alternatives.

In terms of pricing, you can’t beat free! It’s a fantastic opportunity for anyone wanting to enhance their research capabilities without spending a penny. But do keep in mind that while STORM is a promising tool, it might not be ready to replace traditional research methods just yet. Overall, I see great potential in STORM, especially for students and professionals looking for a fresh approach to research. Just be prepared for a bit of a learning curve and manage your expectations regarding depth and detail.

Getting started with STORM

With STORM, you will learn how to generate detailed, cited reports on various topics using AI. This guide will walk you through signing up, creating your first report, and enhancing your results in just a few minutes.

Step 1: Sign up and set up

  • Go to [STORM's website](https://storm.genie.stanford.edu).
  • Click on the "Sign Up" button located at the top right corner of the homepage.
  • Fill in your details and create an account. You can sign up for free as there are no charges.
  • Once registered, log in with your new credentials.
  • Step 2: Your first report

  • After logging in, click on "Create New Report" on your dashboard.
  • In the prompt field, type your research question or topic. For example, "The impact of climate change on polar bears."
  • Click the "Generate Report" button.
  • STORM will process your query and compile a report. This may take a few moments.
  • Once completed, review the report sections and check the citations provided at the end.
  • Step 3: Get better results

  • Use specific keywords or phrases in your prompts for more targeted results. Instead of "climate change," try "climate change effects on polar bear populations."
  • Explore the mind map feature by clicking on the "Co-STORM" option. This allows you to visualise the connections between different pieces of information.
  • Adjust the depth of information by selecting "Basic," "Intermediate," or "Advanced" levels when generating your report for varying levels of detail.
  • Pro tip

    To save time, always check the "Advanced" option for your first report. This setting usually provides a more comprehensive overview and reduces the need for follow-up queries.

    Common mistake to avoid

    Avoid using vague or broad terms in your prompts. Instead of asking for general information, be specific about what you want to know to get more relevant results.

    The Verdict

    I recommend STORM for students and professionals seeking a new way to approach research, particularly those who appreciate visual tools. However, if you need deeply detailed reports on niche topics, you might want to look elsewhere. Overall, it’s a promising prototype worth exploring, but it has its limitations.

    Best For

    • Students needing to write research papers or essays.
    • Educators looking for interactive ways to teach complex subjects.
    • Professionals preparing reports or presentations who want diverse perspectives.
    • Content creators seeking a well-rounded understanding of a topic before writing.
    • Anyone interested in visualising information for better comprehension.

    At a Glance

    STORM is a free AI tool from Stanford University that automates the generation of comprehensive, cited reports on a wide range of topics. Its interactive feature, Co-STORM, allows users to engage with research through dynamic mind maps, promoting a deeper understanding of the material.

    Strengths

    • +The tool is completely free, making it accessible to everyone from students to professionals without any financial barrier.
    • +Co-STORM allows for an engaging and interactive research experience, turning information gathering into a visual and dynamic process.
    • +It generates reports that include multiple perspectives, which enriches the understanding of complex topics and encourages critical thinking.
    • +The AI sources data from a wide range of online resources, saving users significant time in finding and compiling information on their own.
    • +The user interface, while occasionally clunky, offers a unique way to organise thoughts through mind mapping, which can be beneficial for visual learners.

    Limitations

    • -The interface can feel a bit overwhelming, especially when delving into complex topics, which may deter some users from fully engaging with the tool.
    • -As a research prototype, STORM lacks the refinement and additional features that more established tools offer, such as advanced filtering options or customisation.
    • -Reports generated can sometimes miss niche topics or specific angles, as the AI relies on existing information available online, which may not cover every perspective.
    • -The depth of information in reports can vary significantly, leading to inconsistencies in quality depending on the topic researched.
    • -There’s a learning curve to effectively navigating the mind maps, which might frustrate users who prefer straightforward text-based reports.

    Use Cases

    • -Students writing research papers who need to gather diverse perspectives quickly without getting bogged down in extensive searches.
    • -Professionals preparing for presentations or reports who want to visually map out information and ensure they cover multiple angles.
    • -Educators looking for an engaging way to introduce complex topics to students, using mind maps to facilitate discussions.
    • -Writers or content creators needing to develop a well-rounded understanding of a subject before producing articles or content.
    • -Anyone conducting preliminary research for personal projects who wants to explore a variety of viewpoints before diving deeper.

    Alternatives

    Zotero - better suited for those who need a citation management tool to organise and share research sources.
    Mendeley - ideal for academic users who require robust PDF management and collaboration features.
    Ref-N-Write - beneficial for non-native English speakers who need assistance with writing and paraphrasing academic content.
    Scrivener - offers comprehensive writing tools for long-form content creation but lacks the research automation features of STORM.

    Frequently Asked Questions

    STORM is a free AI tool from Stanford University that automates the generation of comprehensive, cited reports on a wide range of topics. Its interactive feature, Co-STORM, allows users to engage with research through dynamic mind maps, promoting a deeper understanding of the material.
    The key advantages of STORM include: The tool is completely free, making it accessible to everyone from students to professionals without any financial barrier.. Co-STORM allows for an engaging and interactive research experience, turning information gathering into a visual and dynamic process.. It generates reports that include multiple perspectives, which enriches the understanding of complex topics and encourages critical thinking.. The AI sources data from a wide range of online resources, saving users significant time in finding and compiling information on their own.. The user interface, while occasionally clunky, offers a unique way to organise thoughts through mind mapping, which can be beneficial for visual learners..
    Some limitations of STORM include: The interface can feel a bit overwhelming, especially when delving into complex topics, which may deter some users from fully engaging with the tool.. As a research prototype, STORM lacks the refinement and additional features that more established tools offer, such as advanced filtering options or customisation.. Reports generated can sometimes miss niche topics or specific angles, as the AI relies on existing information available online, which may not cover every perspective.. The depth of information in reports can vary significantly, leading to inconsistencies in quality depending on the topic researched.. There’s a learning curve to effectively navigating the mind maps, which might frustrate users who prefer straightforward text-based reports..

    Pricing & Availability

    Free

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