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Welcome, humans.
Join us in 5 minutes (10am PT | 1pm ET) for A Total Beginner’s Guide to AI Agents & Automation, our beginner-friendly Neuron Live on what AI agents are, how automation actually works, and how to start using both without getting overwhelmed.
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AI agents and automation sound complex, but the basic idea is simple: let software handle repetitive steps so you can spend more time on the work that needs judgment.
Today, we’re cutting through the jargon around building agents in ChatGPT, Claude, Make, ClickUp, and the other AI tools people keep calling “agents” every five seconds.
We’ll walk through:
How AI agents are different from regular chatbots.
What actually happens inside an automation workflow.
Where tools like ChatGPT, Claude, Make, ClickUp, and other AI assistants fit.
How to spot tasks that are actually worth automating.
Common beginner mistakes that make workflows brittle.
How to decide what should stay human and what AI can help with.
No coding experience required. It’ll be a clear, practical conversation about how to make AI more useful, more responsible, and a lot less intimidating.
And really, bring your questions, we’ll answer anything. Seriously, anything. “Is this an agent?” “Should I automate this?” “What is a webhook?” “Why does everything suddenly have an MCP server?” We’ll explain it like normal people.
If you’ve been pretending to understand the difference between an agent, a workflow, and an automation, this one is for you. Your secret is safe with us… well, us and also the 47 other people waiting in chat right now… but hey, no judgements, everybody’s a newbie in this space.
P.S. Timestamps will be added to this post after the stream, so if you can't make it live, bookmark this email and come back tomorrow; you'll be able to jump straight to the parts you care about.
Not free atm? We've got you. We'll publish a full breakdown of everything we found in tomorrow's daily newsletter, with the sharpest prompts, the biggest surprises, and a direct "should you switch?" call.
Keep scrolling for more on the new Great Sky episode that dropped yesterday, plus four more recent videos we think you’ll love.
THIS EPISODE WAS BROUGHT TO YOU BY…
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Four recent interviews you’ll definitely want to check out (pick whatever looks interesting to you and dive in!):
TL;DW: Jeff Shainline, co-founder and CEO of Great Sky, explains how his company is building brain-inspired AI hardware using superconductors, photons, analog computation, and an architecture called Superconducting Optoelectronic Networks, or SOENs.
Why you should watch: This is the hardware version of the Transformer vs. Post-Transformer debate. If Jeff is right, the next AI breakthrough may come from changing the machine itself: memory closer to compute, light-based communication, and architectures that current GPUs have never really rewarded.
YouTube: Watch Here
Spotify: Listen Here
Apple Podcasts: Listen Here
TL;DW: Tudor Achim, co-founder and CEO of Harmonic, explains Aristotle, a formal reasoning system built to generate mathematical proofs that computers can verify.
Why you should watch: AI usually asks us to trust an answer. This episode is about AI that can show its work in a way a machine can check, which could matter for math, software, chip design, scientific computing, and trust layers beyond chatbots.
YouTube: Watch Here
Spotify: Listen Here
Apple Podcasts: Listen Here
TL;DW: Rebecca Paul, Head of Medicinal Drug Design at Isomorphic Labs, and Michael Schaarschmidt, Foundational AI Research Lead, explain why drug discovery is still slow, expensive, and failure-prone, and how foundation models could help scientists design better drug candidates faster.
Why you should watch: If you’ve ever wondered what comes after AlphaFold, this one gets into it. “AI-designed drugs” are not one magic model. They take many models working together across biology, chemistry, structure prediction, molecule generation, and human judgment.
YouTube: Watch Here
Spotify: Listen Here
Apple Podcasts: Listen Here
TL;DW: Corey sits down with Kendall Rankin, who left LinkedIn in 2024 to join Producer AI when it was a startup. Google acquired the team in February 2026, and Kendall is now on the Flow Music team inside Google Labs.
Why you should watch: Most AI music demos hand you a finished song and skip the messy part. This episode shows the iteration loop: first pass fumbles, Corey asks for “more fuzz,” second pass lands. That is the useful part for anyone testing creative AI tools.
YouTube: Watch Here
Spotify: Listen Here
Apple Podcasts: Listen Here
Last week, we went live with Ben Cherry of LiveKit to build a real-time AI voice agent live on The Neuron, and Ben walked us through the stack behind real-time AI experiences before helping us test a live demo. Go check it out to learn how to build your own voice agent! We also turned it into a blog to read and follow along.
Last thing: And if you haven’t subscribed yet, please do! Click the image below to go to our channel and hit “subscribe” to get notified right when new videos go live.
We have a goal to hit 50K subscribers by the end of the year (if not 100K), and we’re only 30K away! If you like learning about AI, and already watch some of our videos, do us a favor and click here to subscribe today.
Stay curious,
The Neuron Team
 | That’s all for today, for more AI treats, check out our website.
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Grant Harvey is the Lead Writer of The Neuron, where he continues to lead the publication's daily coverage of AI news, tools, and trends.
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