Consensus

Links and Codes: Consensus: https://get.consensus.app/andy25 (25% off with the code: andy25) Paperpal: https://paperpal.com/?linkId=lp_726731&sourceId=andy&tenantId=paperpal (PAP20 - 20% off) Thesify: https://thesify.ai?fpr=andy60 Thesis AI: https://www.thesisai.io/?via=andrew, ANDY20 - 20% off Elicit: https://elicit.com/?via=andrew UndetectableAI: https://undetectable.ai?fpr=andy SciSpace: https://scispace.com/?via=andy-stapletonai (ANDYS40: 40% off the annual plan, ANDYS20: 20% off the monthly plan) Jenni AI: https://jenni.ai/?via=andy-stapleton (Use codes: andy30, ANDY20) Julius AI: https://julius.ai/?via=andrew-stapleton (ANDY20 — offers 20% off) AnswerThis: https://answerthis.io?ref=andy49 (ANDY25 - 25% off) Anara AI: https://anara.com (ANDY20 - 20 % off) NotebookLM has quietly become one of the most useful research tools I’ve used in years, and that’s saying something given how many AI platforms I test. In this video, I step back and reflect on why it works so well for academia, rather than just showing features. If you’ve ever felt overwhelmed by papers, notes, meetings, or new research fields, this video explores how a single workspace can reduce that cognitive load in a practical way. ▼ ▽ Sign up for my FREE newsletter Join 21,000+ email subscribers receiving the free tools and academic tips directly from me: https://academiainsider.com/newsletter/ ▼ ▽ MY TOP SELLING COURSE ▼ ▽ ▶ Become a Master Academic Writer With AI using my course: https://academy.academiainsider.com/courses/ai-writing-course I walk through how to use notebooklm as a thinking partner, not just a chatbot. What stands out to me is how sources are treated as the foundation of everything you do. Instead of generating vague answers, the tool forces your thinking to stay grounded in real documents, which is something many academics care deeply about. This notebookLM tutorial is less about shortcuts and more about building understanding, spotting gaps in your knowledge, and avoiding the false confidence that can come from unreferenced AI output. I also share my experience using google notebooklm for projects like literature reviews, group meetings, and learning new research areas from scratch. Being able to ask questions across dozens of sources at once fundamentally changes how quickly you can orient yourself in a field. When people ask me how to use google notebooklm effectively, my answer is always the same: treat it like a structured research assistant, not a magic answer machine. The video also touches on newer formats like the notebooklm podcast and visual outputs, and where I think they are genuinely useful versus where caution is still needed. As part of this notebooklm review, I’m honest about what impressed me, what still needs human checking, and why I think this sits among the most practical free ai tools currently available to researchers. If you’re curious about building clearer thinking, better research habits, and more confidence in your understanding, this video is designed to help you see what’s possible—and how to use it responsibly. ................................................ ▼ ▽ TIMESTAMPS 00:00 Intro 00:17 NotebookLM 04:15 Creating Podcast 10:43 Generating Infographics 15:43 Creating a report 17:52 Outro