Transcript
Kieran Rogers (0:00)
Welcome back to the digital marketing Podcast brought to you by targetinternet.com My name is Kieran Rogers.
Daniel Rolls (0:07)
And I'm Daniel Rolls.
Kieran Rogers (0:09)
And today we have an introduction to agentic AI.
Daniel Rolls (0:22)
Yeah, you're sounding more and more like Michael Caine when you introduce yourself.
Kieran Rogers (0:26)
I had a Michael Caine image in my head when I said that.
Daniel Rolls (0:28)
Slow down. My name is Michael Caine. Anyway, so we are going to talk about agentic AI and my feeling on this is this is the next stage in this kind of evolution of AI tools. So we got these generative AI tools and we were able to write stuff first of all. And then it got a bit smarter and we're generating images and that got a bit smarter and basically they can do some stuff but not, not everything that's that useful. Suddenly we're leaping into some new stuff. So that's what I want to talk about.
Kieran Rogers (0:56)
I just love the name. It, it sounds like some sort of gut supplement, like I'm gonna get a dose of happy bacteria.
Daniel Rolls (1:04)
Have you had your agentic AI agents then from now on, if that. Would that work better?
Kieran Rogers (1:10)
Oh, I get it now. Oh, I see. I always see what you did there. I just thought it's a new fancy schmancy word. I was gonna start dropping it into conversation without really knowing what it means. No, no harm could come from that.
Daniel Rolls (1:22)
Right, well, I'm glad this podcast is serving to educate you, Kieran. That's useful. It's really supposed to be at the audience, but you always, always.
Kieran Rogers (1:28)
Yeah.
Daniel Rolls (1:28)
So the idea and the kind of definition of these is agentic AI uses sophisticated reasoning and iterative planning to autonomously solve complex multi step problems. So it's the idea that you go off and set a task and it will investigate and work out what steps are required to complete that task. And you can do it to some extent already. So the deep reasoning versions of Google Gemini and of ChatGPT already already do this. And I think actually it's worth this point because with ChatGPT it has got really confusing with all the different versions of the large language model. So we had, you know, version 2344 omni, which is 4.0 and so on. And what a little, little thing to understand is that when you see like 4o though afterwards sounds for omni, but actually when you see the o before the numbers like oh3 and oh4 mini are the currently the new ones. What these ones are really about is deep reasoning. So they're slower but they're able to go off and deeply reason into a problem as well, so the idea is that O3 and 04 mini can do advanced reasoning, multi step solutions and image analysis. So they're really good. Now all of a sudden, if you try them out, you give it an image and analyze what's going on inside the image and it can do a really good job of that, whereas it wasn't very good at it before. So I did a quick test. Grab a picture from a fridge online full of food, upload that picture, say, have a look at what's in my fridge, and come up with a healthy, healthy recipe for three people. And it worked out what was in the fridge and it came up with a really relevant recipe based on those foods. So it can do some interesting kind of things. But where they're going with this is that ChatGPT are building operator. Operator is a version of ChatGPT that can use a web browser. So not that it can just search for things, but it can go into maybe a travel website and book you a flight, it can go in and post things into your LinkedIn, all those kind of things. So if you suddenly think about what we've got at the moment is something that can create content, but it can't really do much with it. But with this you would be able to give it multi step tasks that involve interacting with other services, other websites, posting things potentially as well. So Operator has been rolled out in the US to pro users and it will be rolling out around the rest of the world. But what really differentiates, and this is what I found. Interesting, interesting and why it was a real wake up moment for me, is where these tools can access other platforms. So yes, we can already do a web search. They're starting to be able to use a browser within ChatGPT operator, but I've been using one that basically has access to the command line. So what it's able to do is to control a server and it's a sandbox server so that it can't necessarily do any damage to anything else that you've kind of got going on. But that means that it can go in, it can write code and it can deploy that code. So at the moment, if you get ChatGPT to write some code, it'll give you some code, whether it's HTML or Python or something else, and you have to take that, create a file and deploy it somewhere else. ChatGPT will give you a preview of HTML so you can see roughly what something would kind of lay out and look like. But for example, if I say to ChatGPT, go and create me an interactive infographic of the Google algorithm updates timeline aimed at marketers. Create it in JavaScript. It's going to give me the code, but it's not going to be able to deploy it. And then even further on, if I say go and grab the style sheets from this particular website and base it on this brand, it's not really able to do that particularly effectively. However, I've been playing with a tool called Manus and if you got our last newsletter, what you would have seen in that newsletter was an invite to a live session which was about updates about all this kind of stuff that we're doing literally going out on tomorrow afternoon. So by the time this comes out, it would have been, it would have been out already. If you're a Target Internet member, they're all recorded. So target Internet.com you can go in, log into your membership and you can see the session recording. But what it then had in the newsletter was here is this interactive infographic created on our branding and here's the tool that we use to create it. And what was amazing was that I pointed it at the website, it grabbed all the colors, all the brand identity, the fonts, all those kind of things. So it basically just took the style sheets and it created this incredibly interactive JavaScript based infographic that allowed you to filter by year, to filter by topic, it gave you a timeline of the changes in the algorithm, all that kind of stuff. So it did some deep research into the topic and then was able to create something that was interactive but based on my target audience and then deploy that as a JavaScript, HTML and CSS file. And I could then take that and I could embed that into my website as well. Now the difficult stage actually, interestingly, was then saying if I want to upload JavaScript onto my content management system, my content management system is going to fall over with security errors because it doesn't want you to be able to deploy that stuff. So we had to do some work in the back end and a big shout out to Brad, our developer, because he did an amazing job of basically allow us to build these kind of micro sites within our website and then it's showing up in an iframe, but then getting Google to look within that iframe, so it works from an SEO point of view. So if you want to know more about that, then just let's get in contact targetinternet.com podcast you can reach out and I'll explain. That whole process is a bit techy and not of interest to Most people. But what was amazing to me was to say, okay, if suddenly I can create things like interactive tools. So one of the things that I've just started creating and I'm, I'm demoing in this, this session tomorrow is Digital Marketing Simulator. So for my students and for people that are learning about digital marketing, how about if you could go in and say, right, here's all the different channels you could be using. You've got this budget, here's your objective. How much budget would you put into each of these channels and which bit is of these channels would use? And then run a simulation, Go, here's your results. What would you do differently? And then do it as a bit of a kind of competition and a simulation that would have taken weeks and weeks, if not months to create with a developer normally did it in a couple of hours, just kind of going through ideas and guiding it. So when people talk about vibe coding, there's the idea of your coding but using these AI tools. And it was up until literally a couple of weeks ago, a fairly complex process bringing a number of tools together, setting up a server, being able to deploy your stuff to that serve all the security stuff that went with it. Tools like Manus are suddenly doing all of that stuff for you. Now, Manus is interesting because it uses Deep seq, which was that Chinese model that came out and really shook up the AI world. And what it allows you to do, it's got access to a browser, it's got a sandbox server, so it can access the command line, it can code, it can create websites, it can create interactive jobs, get HTML, give it some code. So for example, you give it an Excel spreadsheet full of data, and it will turn that into an interactive website. So you can just put all your data online as a, as an interactive report and those kind of things. So the thing I wanted to come to with all this is, okay, keep an eye on this. Go and take a look at Manus. We if you sign up for the newsletter, targetinternet.com newsletter, we've got loads of examples that we're putting out from this stuff as well. But this is going to be even more a radical change for marketing teams and marketing departments. So at the moment, what's happening is that, you know, content writing, image creation, social media, post creation, we're starting to use these tools, maybe email content, we're starting two these tools. But suddenly, if you can create really interactive stuff, deep reports, that's actually really useful. Do you need the same skill set on Your team that you've got, do you need as many people as you've got? What skills should a marketer be focusing on in order to take advantage of this stuff and not kind of be left behind? So my initial thinking is, okay, right, culture of learning is essential because you need to be staying on top of this stuff to make sure that you know what the tools are capable of doing, and you're getting competitive advantage by using them first. But actually from a call that I was having with a podcast interviewer gearing up for next week, is that the more this stuff gets advanced, the more you need to go back to basics, which is you need to understand your audience. Who's your target Persona? What is it they want? What's actually going to resonate with them? What's a good user experience look like? And therefore, are we using these tools to create something that's valuable and useful, or are we just using them for the sake of creating more stuff and just pumping out volume and it's not really achieving what we want?
