Uploaded February 2026 | Updated September 2026, 3 weeks ago
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Links and Codes:
Consensus: https://get.consensus.app/andy25 (25% off with the code: andy25)
Paperpal: paperpal.com/?linkId=lp_726731&sourceId=andy&tenantId=paperpal (PAP20 - 20% off)
Thesify: https://thesify.ai?fpr=andy60
Thesis AI: thesisai.io/?via=andrew, ANDY20 - 20% off
Elicit: elicit.com/?via=andrew
UndetectableAI: https://undetectable.ai?fpr=andy
SciSpace: scispace.com/?via=andy-stapletonai (ANDYS40: 40% off the annual plan, ANDYS20: 20% off the monthly plan)
Jenni AI: jenni.ai/?via=andy-stapleton (Use codes: andy30, ANDY20)
Julius AI: julius.ai/?via=andrew-stapleton (ANDY20 — offers 20% off)
AnswerThis: https://answerthis.io?ref=andy49 (ANDY25 - 25% off)
Anara AI: anara.com (ANDY20 - 20 % off)
When people talk about artificial intelligence in research, the conversation often jumps straight to hype or fear. What I’m more interested in is something quieter and more practical: how these tools actually change the way research feels on a day-to-day basis. Over time, I’ve realised that the value of AI isn’t just speed, but cognitive relief — fewer blank-page moments, clearer starting points, and faster feedback loops.
In this video, I reflect on how I think about the best AI tools for research and why “best” depends far more on workflow than on raw features. Some tools help me explore ideas, others help me sense-check my thinking, and a few are there purely to reduce friction when I’m tired, overwhelmed, or stuck. That distinction matters more than most people realise.
I also talk about how best AI tools for researchers are increasingly blurring traditional research stages. Tasks that used to feel sequential — reading, synthesising, outlining, writing — now overlap in ways that can either support good thinking or quietly undermine it if you’re not careful. Learning when to slow down is just as important as knowing when to automate.
If you’re writing or planning a best AI tools for research paper workflow, I think it’s essential to understand what these tools are actually doing under the hood: where they summarise, where they infer, and where they can confidently sound correct while subtly drifting away from your intent. Used thoughtfully, ai tools for research can sharpen your thinking rather than replace it.
Throughout the video, I share how I personally decide which tools to trust, when to keep humans in the loop, and how to use AI without losing ownership of my work. This isn’t about shortcuts. It’s about building a research process that feels sustainable, transparent, and intellectually honest — especially in an academic environment that already demands a lot from you.
Whether you’re early in your degree or deep into a project, my aim is to help you think more clearly about where artificial intelligence in research genuinely adds value, and where it’s better treated as a supporting actor rather than the main character.
................................................
▼ ▽ TIMESTAMPS
00:00 Intro
00:21 SciSpace
01:10 Consensus AI
02:23 NotebookLM
03:51 Ellicit AI
05:24 Research Rabbit
06:38 PaperPal
07:48 Thesify
09:19 Jenni AI
10:52 Anara AI
11:49 Thesis AI
13:16 Outro
▶ Become a Master Academic Writer With AI using my course: academy.academiainsider.com/courses/ai-writing-course
▶FREE: Join 21,000+ email subscribers receiving the free tools and academic tips directly from me:
academiainsider.com/newsletter
Links and Codes:
Consensus: https://get.consensus.app/andy25 (25% off with the code: andy25)
Paperpal: paperpal.com/?linkId=lp_726731&sourceId=andy&tenantId=paperpal (PAP20 - 20% off)
Thesify: https://thesify.ai?fpr=andy60
Thesis AI: thesisai.io/?via=andrew, ANDY20 - 20% off
Elicit: elicit.com/?via=andrew
UndetectableAI: https://undetectable.ai?fpr=andy
SciSpace: scispace.com/?via=andy-stapletonai (ANDYS40: 40% off the annual plan, ANDYS20: 20% off the monthly plan)
Jenni AI: jenni.ai/?via=andy-stapleton (Use codes: andy30, ANDY20)
Julius AI: julius.ai/?via=andrew-stapleton (ANDY20 — offers 20% off)
AnswerThis: https://answerthis.io?ref=andy49 (ANDY25 - 25% off)
Anara AI: anara.com (ANDY20 - 20 % off)
When people talk about artificial intelligence in research, the conversation often jumps straight to hype or fear. What I’m more interested in is something quieter and more practical: how these tools actually change the way research feels on a day-to-day basis. Over time, I’ve realised that the value of AI isn’t just speed, but cognitive relief — fewer blank-page moments, clearer starting points, and faster feedback loops.
In this video, I reflect on how I think about the best AI tools for research and why “best” depends far more on workflow than on raw features. Some tools help me explore ideas, others help me sense-check my thinking, and a few are there purely to reduce friction when I’m tired, overwhelmed, or stuck. That distinction matters more than most people realise.
I also talk about how best AI tools for researchers are increasingly blurring traditional research stages. Tasks that used to feel sequential — reading, synthesising, outlining, writing — now overlap in ways that can either support good thinking or quietly undermine it if you’re not careful. Learning when to slow down is just as important as knowing when to automate.
If you’re writing or planning a best AI tools for research paper workflow, I think it’s essential to understand what these tools are actually doing under the hood: where they summarise, where they infer, and where they can confidently sound correct while subtly drifting away from your intent. Used thoughtfully, ai tools for research can sharpen your thinking rather than replace it.
Throughout the video, I share how I personally decide which tools to trust, when to keep humans in the loop, and how to use AI without losing ownership of my work. This isn’t about shortcuts. It’s about building a research process that feels sustainable, transparent, and intellectually honest — especially in an academic environment that already demands a lot from you.
Whether you’re early in your degree or deep into a project, my aim is to help you think more clearly about where artificial intelligence in research genuinely adds value, and where it’s better treated as a supporting actor rather than the main character.
................................................
▼ ▽ TIMESTAMPS
00:00 Intro
00:21 SciSpace
01:10 Consensus AI
02:23 NotebookLM
03:51 Ellicit AI
05:24 Research Rabbit
06:38 PaperPal
07:48 Thesify
09:19 Jenni AI
10:52 Anara AI
11:49 Thesis AI
13:16 Outro
