AI Tools for Experimental Design: a Guide for Lab Leaders
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.
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!