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) In this video I take a closer look at undermind ai for research and explore what it actually feels like to use a system that claims to condense weeks of literature searching into minutes. Rather than simply reacting to the interface, I approach this as someone who has spent years navigating Google Scholar, citation chains, and fragmented databases. I am interested in whether this kind of workflow genuinely changes how we think about discovery, or whether it simply speeds up what we were already doing. ▼ ▽ 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 This undermind ai tool stands out because it does not just return a list of links. It asks clarifying questions, reframes the search prompt, and then iteratively explores the literature. That process matters. Good research often depends on how well you define the problem before you begin searching. In that sense, learning how to use undermind ai is not just about clicking buttons; it is about learning how to articulate your research goals more precisely. I found that the back-and-forth questioning can feel slightly frustrating at first, but it also forces a level of conceptual clarity that many researchers skip. Throughout this undermind ai review, I reflect on what makes a literature workflow sustainable. Features like citation tracking, suggested reading order, convergence percentages, and alerts are not just technical additions. They speak to the cognitive load researchers experience when trying to determine whether they have “missed something important.” Reducing that anxiety is arguably as valuable as saving time. More broadly, I situate this platform within the growing ecosystem of ai tools for research. Many systems promise summaries or quick answers, but fewer attempt to map the structure of a field, highlight research gaps, and maintain ongoing updates. For doctoral students and early career researchers in particular, tools like this can shift the balance from reactive searching to strategic exploration. My aim is not to claim that one platform replaces all others, but to think carefully about how these technologies can support deeper, more confident academic work. ................................................ ▼ ▽ TIMESTAMPS 00:00 Intro 00:16 What it looks like 01:13 Side Menus 02:26 Talk Button Function 03:33 Proposed Search Topic 04:38 The Other Side of the Tests 05:08 Looking for Research Gaps 06:27 Going Deeper 07:56 Finding Research Papers 08:43 References 10:39 Sorting and Filtering References 11:39 Exporting PDFs 12:57 Checkin Session History 13:24 Outro