AI for Researchers

This book is for scholars who want to harness AI without compromising their integrity. You'll learn how to use language models to accelerate literature discovery, organise research notes, and generate coherent drafts - while maintaining absolute control over accuracy. The core lesson is verification: every citation, every claim, every source generated by AI must be checked against primary materials. No fabricated references, no phantom studies, no plausible-sounding nonsense dressed as scholarship. Through practical workflows, you'll build a personal system that treats AI as a skilled but fallible assistant, not an authority. You'll master the art of the clear brief, the critical review, and the habit of cross-checking. Whether you're a graduate student beginning your first literature review or an established researcher looking to modernise your process, this guide offers durable skills that outlast any tool update. Learn to keep your notes honest, your literature rigorous, and your reputation intact. Part of The AI Maker Library.

About the author

Daniel Osei Vance writes for The AI Maker Library.