STORM — AI Research Report Generator by Stanford

What it is

STORM (Synthesis of Topic Outlines through Retrieval and Multi-perspective question asking) is a research system from Stanford that automates the creation of long-form, Wikipedia-style articles on any topic. It uses LLMs to simulate conversations between multiple expert perspectives, then synthesizes these into a structured, well-cited article.

It targets researchers, students, and knowledge workers who need comprehensive overviews of complex topics without spending hours reading and synthesizing primary sources manually.

How it saves time or tokens

Researching a new topic typically involves reading dozens of sources, identifying key viewpoints, and synthesizing them into a coherent narrative. STORM automates this by having LLMs take on different expert perspectives, ask each other questions, and compile the results. What might take a researcher a full day can be completed in minutes.

How to use

1. Install STORM from the GitHub repository and configure your LLM provider API keys.
2. Provide a topic or question as input.
3. STORM generates an outline, simulates multi-perspective research conversations, and produces a final article with citations and references.

Example

from storm import STORMWikiRunner

# Initialize with your LLM config
runner = STORMWikiRunner(
    topic='Retrieval-Augmented Generation for Enterprise Search',
    llm_config={'model': 'claude-sonnet-4-20250514'},
    search_config={'engine': 'bing'}
)

# Run the full pipeline
result = runner.run()

# Access the generated article
print(result.article)  # Full Wikipedia-style article
print(result.references)  # List of cited sources

Related on TokRepo

• Research tools — AI-powered tools for literature review and analysis
• RAG tools — Retrieval-augmented generation frameworks

Common pitfalls

• STORM's output quality depends heavily on the LLM and search engine used. Weaker models produce superficial articles. Strong models with good retrieval produce publication-quality overviews.
• The multi-perspective simulation can generate redundant content if the perspectives are too similar. Tuning the perspective diversity parameter matters.
• Citations are only as reliable as the search results. Always verify key claims against the cited sources before using STORM output in academic or professional contexts.