Nate Herk | AI Automation

Stanford's Method Turns Claude Into a PHD Level Research Team

Jun 29, 2026 12 min
ai automationclauderesearch methodsagentic workflows
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Summary

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This tutorial teaches how to implement Stanford's 'STORM' research method as a reusable 'skill' in Claude to generate high-quality, verified research reports.

The video provides a comprehensive guide on automating deep research by leveraging Stanford's STORM method, which replaces simple, single-prompt AI search with a multi-perspective, verifiable research pipeline. By configuring a set of structured prompts (a 'skill' in Claude) that simulate five distinct expert roles—a practitioner, academic, skeptic, economist, and historian—users can identify information gaps and blind spots. The tutorial demonstrates how to set up this workflow in Claude's interface (or via Claude Code in VS Code) to perform an initial research scan, a contradiction mapping phase, final synthesis, and adversarial verification. By automating this multi-step process, users receive a consistent, high-quality, and sourced HTML research briefing that saves hours of manual reading and fact-checking.

Steps to follow

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Key Points

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Worth watching if: You frequently conduct deep-dive research and want to automate the synthesis and verification of information using Claude. This is ideal for knowledge workers, content creators, or researchers looking to upgrade their AI workflow with structured multi-agent techniques.

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