Uploaded June 2026 | Updated September 2026, 3 weeks ago
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Links and Codes:
Undetectable AI: https://undetectable.ai?fpr=andy
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
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)
In this video I take a closer look at one of the biggest shifts happening in academic AI right now: the move from simple chatbots to autonomous systems that can plan and complete tasks on their own. If you've ever wondered what all the buzz is about, this is agentic ai explained in a clear and practical way.
I wanted this to be more than theory, so I included ai agents explained through real examples from research and academia. I walk through how these systems spin out sub-agents, search the web, pull from peer-reviewed sources, and bring everything together into a single detailed output — whether that's a literature review, a gap analysis, or even a presentation for a group meeting. Think of it as a hands-on ai agents tutorial grounded in tasks that actual researchers face every day.
One detail I find especially important is human oversight. These tools don't have to run fully automated; they can pause and check in with you before acting, which makes them far more trustworthy for serious work. I also touch on the limitations, hallucinations, the need to verify outputs, and why you should treat results with healthy scepticism.
If you're curious about ai agents and how agentic ai is starting to reshape science, chemistry, biology, and beyond, I think you'll find plenty here to get you thinking. Let me know your thoughts in the comments, I'm genuinely excited about where this is heading.
................................................
▼ ▽ TIMESTAMPS
00:00 Intro
00:30 What are agents
01:17 The process
03:28 Human Interaction
04:00 Specific Tools
04:33 Claude Cowork
08:24 Limitations
▶ Become a Master Academic Writer With AI using my course: academy.academiainsider.com/courses/ai-writing-course
▶ Join 21,000+ email subscribers receiving the free tools and academic tips directly from me:
academiainsider.com/newsletter
Links and Codes:
Undetectable AI: https://undetectable.ai?fpr=andy
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
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)
In this video I take a closer look at one of the biggest shifts happening in academic AI right now: the move from simple chatbots to autonomous systems that can plan and complete tasks on their own. If you've ever wondered what all the buzz is about, this is agentic ai explained in a clear and practical way.
I wanted this to be more than theory, so I included ai agents explained through real examples from research and academia. I walk through how these systems spin out sub-agents, search the web, pull from peer-reviewed sources, and bring everything together into a single detailed output — whether that's a literature review, a gap analysis, or even a presentation for a group meeting. Think of it as a hands-on ai agents tutorial grounded in tasks that actual researchers face every day.
One detail I find especially important is human oversight. These tools don't have to run fully automated; they can pause and check in with you before acting, which makes them far more trustworthy for serious work. I also touch on the limitations, hallucinations, the need to verify outputs, and why you should treat results with healthy scepticism.
If you're curious about ai agents and how agentic ai is starting to reshape science, chemistry, biology, and beyond, I think you'll find plenty here to get you thinking. Let me know your thoughts in the comments, I'm genuinely excited about where this is heading.
................................................
▼ ▽ TIMESTAMPS
00:00 Intro
00:30 What are agents
01:17 The process
03:28 Human Interaction
04:00 Specific Tools
04:33 Claude Cowork
08:24 Limitations
