WEBVTT

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Okay, we've got that out of the way.

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I know you probably knew what an LM and an API was, but hopefully there's still something interesting

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in there.

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But now, AI agents, even if you think you know what an AI agent is, there's so much confusion and

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disconnect and disharmony about what exactly is an AI agent.

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There are memes about this, about how confusing it is.

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So let me let me clear up any confusion.

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An AI agent can honestly be whatever you want it to be.

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It's one of these terms that people use so loosely these days.

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So.

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So never fear, you can call anything you're doing.

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I guess it has to be something with AI.

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You could call it an AI agent, but most of the time, particularly practitioners do have something

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nowadays quite specific in mind when they use the term AI agent.

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And let me cover that with you right now.

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First of all, a couple of things that they don't necessarily have in mind.

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So for a while, OpenAI and others were using this kind of expression to define an AI agent.

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And this might not be exactly the words that we use, but.

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But along these lines, there are AI systems that can do work for you independently.

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And of course, that has shades of like the OpenAI, GPT agent, formerly the operator agent, like

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one of these these tools where you can ask it, go and find me a reservation for some Chinese food,

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which has a reservation for availability for three people.

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This evening at 9 p.m. in New York, go and off it will go, and you can watch it open up a browser

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and do stuff working for you independently.

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And that was a kind of working definition of AI agents for for a long time.

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And then towards the start of 2025, there began to be industry consensus around a slightly tighter

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definition that anthropic had in their seminal blog post, Building Effective Agents.

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Huggingface had it the New York startup.

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And it is that that agents are where an Lem controls the workflow, where an Lem controls the workflow.

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So some idea that there could be many different things that could happen next.

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And the way you decide which one happens next is not just through some code.

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You don't just say do A, then do B, then do C, but rather you send a prompt to an Lem.

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You talk to GPT and you say, hey, there are three things that could happen.

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Next, please respond with which one it should be.

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And it was responding so that the Lem was orchestrating what happens when and at that time, that was

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that that became the evolving definition of an AI agent.

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But the new definition of an AI agent that has really taken hold towards the end of 2025 is that it's

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it's an Lem that runs tools in a loop to achieve a goal, runs tools in a loop to achieve a goal, and

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we haven't yet gone through all this terminology.

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Some of this you probably have a decent idea of, but we are going to go go deep on this.

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Of course, you already saw that we created an AI agent, uh, node as they're called, like one of

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those boxes in Nw10 and that it had tools there as one of the lines coming out of it.

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Uh, connectors.

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So we are going to be building these AI agents and generally speaking, on, on this course we can be

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pretty loose.

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Of course, in N810 there is this, this AI agent node that we've already used.

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And really any project that's got that in it, including the one we did a few moments ago we could consider

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to be an AI agent.

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But strictly speaking, the practitioners view would be that it's only a true agentic AI case when we

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have an agent running tools in a loop to achieve a goal.

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And never fear, for the main projects on this course, we will absolutely tick all those boxes.

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We will be building true AI agents.

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Okay, well, there is one more definition that I should probably give you.

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Uh, and that would be what is what exactly is Nan that this whole course is about?

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I imagine you already have a pretty good idea, but still.

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Let's dig in.

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So first of all, of course, what it is is it's called a workflow automation startup.

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It's not a million miles away from from things like Zapier that have been around for longer.

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Um, but it's relatively new.

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It was it was founded in Berlin in 2019.

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Uh, and it just in in the last few years, it has become a multibillion dollar business.

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And it has users estimates vary wildly, but it is generally believed to be in the millions.

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It is.

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What makes it different is is how simple and streamlined it is, both working with AI and working with

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integrations.

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It's just fantastic to use.

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It's so easy to deliver business value using NHSN.

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And that is why we will see that whether you are technical or non-technical, you're going to be delivering

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impact in a matter of minutes.

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There are a couple of different ways that you can use.

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You can use it on the cloud, which is what we did earlier, which is where you were using their installation

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and installation of naa10 in the company.

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And it's a product and it's their cloud deployment at Nintendo.

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And if so, it's free for a few weeks and then you'd have to pay the I think it's $24 a month for me.

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Or you can host it yourself.

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You can download the software and run it yourself on your own computer or on some cloud box that you

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have, in which case it is free.

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Because it is.

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It is something I was going to say.

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It's open source.

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It's not exactly open source.

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It's called fair code.

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That is the name of the license that they have pioneered.

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Um, and it's important to understand exactly what that means.

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So as I say, Naa10 is not open source.

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It is fair code.

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It means that you can use it for free.

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You can download the code, you can run it.

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You can also change it.

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You're welcome to go in and improve and build your own stuff.

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You can use N810 for free to deliver value for your business.

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You don't need to pay anything if you're running it yourself.

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You can also build client projects.

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You can.

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You can deliver projects for your clients.

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If they use N810, you can build stuff for them in in n810 and you don't need to give any money to N810.

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That is yours to do and mine to do.

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That is part of the fair code license.

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So you may be thinking, okay, so what can't I do?

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Well, basically it's perfectly reasonable.

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You can't use N810 to directly compete with N810, so you can't sell N810 yourself the product and you

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can't build like host a competing platform.

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You can't with with N810 you can't take N810 change it a little bit, make N810 version two or version

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three as it would be now because version two is just coming out.

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You can't take N810 version three and then start selling it to people at a premium, and you can't even

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sell it to your clients.

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So you can sell services.

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You can sell your n810 services that you will build n810 automations for your clients, but you can't

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sell the product itself because that belongs to N810.

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And this seems to me to be so very reasonable.

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It's such a great model, and because we want to make sure that the N810 team themselves are incented

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to keep building this out, we wouldn't want other companies to use their own product to compete with

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them.

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So it's common sense.

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It makes a ton of sense.

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And that is the fair code license that's built around the N810 product.

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And so again, to sum up, you can download N810 software, run it on your computer for free.

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You can build stuff for your own business.

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You can build stuff for other businesses and sell them the stuff that you build and your services to

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build it.

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What you can't do is sell the product, the product itself.

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And there are these two modes.

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You can either do it yourself with downloading the software or if you want, you can run on cloud deployment,

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but then you do need to pay a subscription for that.

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It starts at at about $24 a month or $20 a month.

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If you pay for it for a year at least, at least for me.

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And there are other tiers if you want to have more automations.

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And so those are the different models.

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There is another model as well called white label, which is if you do want to build a product that

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embeds N810.

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And of course that comes with commercial terms as you would expect, as is completely fair.

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And that's one where if you want to do it, there's a kind of contact Us button on the website, and

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you should definitely do that.

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If you're thinking that you could embed N810 within an existing product that you own.

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Okay, so now hopefully I think you probably already knew what N810 was, but maybe you know, a little

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bit more now.

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All right, let's get to it.
