We Go Hands-On with OpenAI's New ChatGPT Agent LIVE

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The Neuron: AI Explained 1h 17m 3 speakers transcribed
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Corey Knowles 0:00
So OpenAI just dropped a new tool called ChatGPT Agent, and Grant and I are going to try it out for the first time right now.
Corey Knowles 0:15
All right. Welcome, humans, to another episode of the Neuron Podcast. I'm Corey Knowles here with our awesome writer, Grant Harvey, as always. Say hi, Grant. What's up? How's it going? Going great, man. Going great. I always love launch day. Launch day gets me excited. How about you?
Grant Harvey 0:33
Yeah, it's awesome. It's really awesome when it's something that actually is cutting edge, like what we're about to do today.
Corey Knowles 0:40
Yeah, what we're about to see is, to quote Chad GPT, this is a real game changer. And I don't say that lightly. It's pretty cool, and I think something we're... I want to say on the precipice of, but we're kind of cartwheeling and tumbling right into right now is a real change in the way we use the Internet and computers. You know, things are about to look a lot different. And what we're going to show you today is a really interesting glimpse into that.
Grant Harvey 1:18
Yeah, definitely. So we'll talk about, we'll intro the tool in just a minute, but I think it's important to point out a couple of things. First of all, what is an agent? Second of all, how have we made agents or agents up until this point? And then why what we're about to show you is a big deal. Yeah. Yeah. So first of all, Corey, what, in your opinion, is an agent?
Corey Knowles 1:41
When you ask me what an agent is, you should know that I disagree with a lot of people on this subject. It's a thing where I get really lost in the semantics, kind of, because, you know, over the last year, a lot of companies have come out and started talking about their agents and all of this. And what they're really doing, in my opinion, is busting out Zapier automations that can do a task over and over once you set it up and build out this whole thing. And in my eye... you know, truly agentic AI is the ability to have your AI tool do something autonomous, to make decisions throughout the process, to understand what tools it needs to use, and just go figure that out and come back with a result that is without a human in the loop and less
Corey Knowles 2:29
Unless there's a need for one at some point. I mean, if it needs to come back and ask a question, that's not a disqualifying factor for agenthood in my eyes. But I do believe that it should be, and you may disagree with this, I don't know, it should be... able to go and do the thing on its own without me needing to be a software engineer to set it up, without me having to go and set up a billion different things and build out a process and reconsider how I think about doing things. I should be able to say the words, go grab this stuff from my email from now on. I want you to, anytime I get an email like this, just drop it in my Slack so I notice. That is what I consider to be truly agentic.
Grant Harvey 3:14
Yeah, that's fair. So what you're basically talking about is that I think even as soon as 2023, people were marketing agents. And really what they were marketing was called an agentic workflow. And I'm going to show a tool. So you mentioned Zapier is one tool that people use for this. Another one is basically N8N, and this is the popular one. The reason it's popular is because it's open source, so anyone could download it and run it on their computer, but you can also just use it through the cloud.
Corey Knowles 3:47
And essentially how this- Maybe it's kind of the totally code-free version of this, I would say.
Grant Harvey 3:50
It's no code. So yeah, so N8n is similar to that. And basically, you work via node with all these tools. So you have a little node here that says when this trigger happens, you send it to the AI. And as way back as 2023, people were basically, instead of having an agent here, they would do something like this where you just send it to, let's say, like chat GPT. Then based on what the ChatGPT input is, it would go and it would spit out an output. And then the node tool would take that output and then send it through this process. And it's all kind of highly engineered.
Corey Knowles 4:27
You have to choose a route maybe depending on the result.

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