STORM by Stanford

AI research prototype for Wikipedia-like topic reports

STORM generates Wikipedia-style reports on a topic through interactive knowledge curation. It is aimed at people who want a research workflow that helps gather and organize information into a structured report.

Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →

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Recent activity

What's happened with STORM by Stanford lately

May 23, 2026
Score change
Rubric upgrade v3_0 → v3.1: score 2/32 → 3/362 → 3/36(+1)
Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.
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News mentions sourced from our news feed; score changes from periodic re-evaluations.

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About

What It Is

STORM is a research prototype from Stanford that focuses on interactive knowledge curation. According to the site, it helps you get a Wikipedia-like report on a topic, which puts it in the research and synthesis category rather than general chat.

What to Know

The product seems useful when you want a guided research process with human involvement, not a fully autonomous agent that runs end to end on its own. The word "interactive" suggests you participate in shaping the research, but the site does not...

Key Features

Generates Wikipedia-like reports on a topic

Supports interactive knowledge curation

Web-based research workflow

Use Cases

Drafting a background report on a new topic

Building an initial literature or topic summary before deeper research

Turning scattered source material into a structured overview

Agenticness: Reactive Tool

Responds to prompts but takes no autonomous action.

High evidence

Last evaluated: May 23, 2026

Dimension Breakdown

Action Capability

Autonomy

Planning

Adaptation

State & Memory

Reliability

Interoperability

Safety

Operator Sovereignty

How agenticness works →

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Perplexity Research helps you turn broad questions into structured, source-backed reports. Advanced Deep Research adds more web coverage, document processing, calculations, and a progress view for longer investigations.

Gemini Deep Research

Agenticness10/36·Guided Assistant

Research & Deep Analysis

Gemini Deep Research helps you turn complex questions into structured research reports by browsing the web and, if you choose, your Gmail, Drive, and Chat. It is useful for competitive analysis, due diligence, and topic exploration, but it is still a research feature inside Gemini rather than a full standalone agent platform.

ChatGPT Deep Research

Agenticness13/36·Adaptive Collaborator

Research & Deep Analysis

An agent inside ChatGPT that independently searches, analyzes, and synthesizes large amounts of online information. It’s built for research-heavy tasks where you need a documented answer, not just a quick summary.

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