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AI Tools for Experimental Design: a Guide for Lab Leaders

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AI Tools for Experimental Design: a Guide for Lab Leaders

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Are you a scientist who:

  • Has read claims about AI transforming research but aren't sure where to start?
  • Is too busy to test out endless tools and separate hype from reality?
  • Feels skeptical (as any good scientist should!) about AI's real value for research problems?

This guide is for you - the busy researcher who wants practical ways to incorporate AI into their experimental design workflow. 

This is a focused "quick-start" guide that's already helping lab PIs:

  • Save hours on experimental design
  • Generate more comprehensive and reproducible protocols
  • Avoid common AI pitfalls in research contexts

What's inside:

  • An beginner-friendly intro to Large Language Models (LLMs)
  • Simple step-by-step workflows using tools like Elicit and NotebookLM
  • A money-saving "hack" to get useful results without expensive paid subscriptions
  • Real examples and practical caveats

After seeing these tools transform my own research workflow, I wanted to make this knowledge accessible to every lab.

That's why I'm offering it for free or as pay-what-you-value!

Download it free if you're just exploring, or buy me a cup of coffee if you find value for your research program. Think about the time you could save on experimental design!

36 pages of practical, no-fluff guidance for working scientists.

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I want this!

36-page guide with real-world case study | Focused on Elicit, NotebookLM | Written specifically for busy PIs and lab managers | No coding or prior AI experience required!

Pages
36
AI Tools Discussed
2
Experience Level
Beginner-Friendly
Implementation Time
Less than 1 hour
Format
Downloadable PDF
Size
4.3 MB
Length
36 pages
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