How can AI make you a better scientist?
It's not just a chatbot. Here are examples from researchers who are already using it.
Find promising research leads
Surface connections, patterns, and overlooked work across fields in a way that keyword searches cannot.
Clean a dataset that seems uncleanable
Inconsistent formats, missing fields, hand-edited rows. Describe what it should look like and AI designs a pipeline.
Do a rigorous and critical literature review
Go beyond summaries. Map the arguments, trace the disagreements, and find the gaps nobody is addressing.
Automate the analysis you keep doing by hand
Describe your workflow once and get a script that adapts every time the data changes.
Learn effectively from AI
Tell it what you know and where you are lost. It explains the gaps at your level of expertise.
Organize your lab
Scattered Google Drives, measurements buried in Slack. New members lost for a week. AI reads the mess and builds a structure that stays organized.
Take the next step
Choose your starting point.
I'm completely new to AI
You have not tried AI yet, or maybe you've asked ChatGPT a question or two but never gone further. Start here!
I've used AI in my browser
You've tried ChatGPT. Maybe the answers were helpful, maybe you're still figuring out how to ask. Either way, you keep losing your history and re-uploading the same documents. We'll fix that here.
I want to go further
You already have Claude Code or similar tools installed. Now you want to know how to get the most out of them: agents, reusable skills, and multi-step workflows.
Harvard scientists using AI
Learn how researchers across disciplines are integrating AI into their work.