Okay, we've got that out of the way.
I know you probably knew what an LM and an API was, but hopefully there's still something interesting
in there.
But now, AI agents, even if you think you know what an AI agent is, there's so much confusion and
disconnect and disharmony about what exactly is an AI agent.
There are memes about this, about how confusing it is.
So let me let me clear up any confusion.
An AI agent can honestly be whatever you want it to be.
It's one of these terms that people use so loosely these days.
So.
So never fear, you can call anything you're doing.
I guess it has to be something with AI.
You could call it an AI agent, but most of the time, particularly practitioners do have something
nowadays quite specific in mind when they use the term AI agent.
And let me cover that with you right now.
First of all, a couple of things that they don't necessarily have in mind.
So for a while, OpenAI and others were using this kind of expression to define an AI agent.
And this might not be exactly the words that we use, but.
But along these lines, there are AI systems that can do work for you independently.
And of course, that has shades of like the OpenAI, GPT agent, formerly the operator agent, like
one of these these tools where you can ask it, go and find me a reservation for some Chinese food,
which has a reservation for availability for three people.
This evening at 9 p.m. in New York, go and off it will go, and you can watch it open up a browser
and do stuff working for you independently.
And that was a kind of working definition of AI agents for for a long time.
And then towards the start of 2025, there began to be industry consensus around a slightly tighter
definition that anthropic had in their seminal blog post, Building Effective Agents.
Huggingface had it the New York startup.
And it is that that agents are where an Lem controls the workflow, where an Lem controls the workflow.
So some idea that there could be many different things that could happen next.
And the way you decide which one happens next is not just through some code.
You don't just say do A, then do B, then do C, but rather you send a prompt to an Lem.
You talk to GPT and you say, hey, there are three things that could happen.
Next, please respond with which one it should be.
And it was responding so that the Lem was orchestrating what happens when and at that time, that was
that that became the evolving definition of an AI agent.
But the new definition of an AI agent that has really taken hold towards the end of 2025 is that it's
it's an Lem that runs tools in a loop to achieve a goal, runs tools in a loop to achieve a goal, and
we haven't yet gone through all this terminology.
Some of this you probably have a decent idea of, but we are going to go go deep on this.
Of course, you already saw that we created an AI agent, uh, node as they're called, like one of
those boxes in Nw10 and that it had tools there as one of the lines coming out of it.
Uh, connectors.
So we are going to be building these AI agents and generally speaking, on, on this course we can be
pretty loose.
Of course, in N810 there is this, this AI agent node that we've already used.
And really any project that's got that in it, including the one we did a few moments ago we could consider
to be an AI agent.
But strictly speaking, the practitioners view would be that it's only a true agentic AI case when we
have an agent running tools in a loop to achieve a goal.
And never fear, for the main projects on this course, we will absolutely tick all those boxes.
We will be building true AI agents.
Okay, well, there is one more definition that I should probably give you.
Uh, and that would be what is what exactly is Nan that this whole course is about?
I imagine you already have a pretty good idea, but still.
Let's dig in.
So first of all, of course, what it is is it's called a workflow automation startup.
It's not a million miles away from from things like Zapier that have been around for longer.
Um, but it's relatively new.
It was it was founded in Berlin in 2019.
Uh, and it just in in the last few years, it has become a multibillion dollar business.
And it has users estimates vary wildly, but it is generally believed to be in the millions.
It is.
What makes it different is is how simple and streamlined it is, both working with AI and working with
integrations.
It's just fantastic to use.
It's so easy to deliver business value using NHSN.
And that is why we will see that whether you are technical or non-technical, you're going to be delivering
impact in a matter of minutes.
There are a couple of different ways that you can use.
You can use it on the cloud, which is what we did earlier, which is where you were using their installation
and installation of naa10 in the company.
And it's a product and it's their cloud deployment at Nintendo.
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.
Or you can host it yourself.
You can download the software and run it yourself on your own computer or on some cloud box that you
have, in which case it is free.
Because it is.
It is something I was going to say.
It's open source.
It's not exactly open source.
It's called fair code.
That is the name of the license that they have pioneered.
Um, and it's important to understand exactly what that means.
So as I say, Naa10 is not open source.
It is fair code.
It means that you can use it for free.
You can download the code, you can run it.
You can also change it.
You're welcome to go in and improve and build your own stuff.
You can use N810 for free to deliver value for your business.
You don't need to pay anything if you're running it yourself.
You can also build client projects.
You can.
You can deliver projects for your clients.
If they use N810, you can build stuff for them in in n810 and you don't need to give any money to N810.
That is yours to do and mine to do.
That is part of the fair code license.
So you may be thinking, okay, so what can't I do?
Well, basically it's perfectly reasonable.
You can't use N810 to directly compete with N810, so you can't sell N810 yourself the product and you
can't build like host a competing platform.
You can't with with N810 you can't take N810 change it a little bit, make N810 version two or version
three as it would be now because version two is just coming out.
You can't take N810 version three and then start selling it to people at a premium, and you can't even
sell it to your clients.
So you can sell services.
You can sell your n810 services that you will build n810 automations for your clients, but you can't
sell the product itself because that belongs to N810.
And this seems to me to be so very reasonable.
It's such a great model, and because we want to make sure that the N810 team themselves are incented
to keep building this out, we wouldn't want other companies to use their own product to compete with
them.
So it's common sense.
It makes a ton of sense.
And that is the fair code license that's built around the N810 product.
And so again, to sum up, you can download N810 software, run it on your computer for free.
You can build stuff for your own business.
You can build stuff for other businesses and sell them the stuff that you build and your services to
build it.
What you can't do is sell the product, the product itself.
And there are these two modes.
You can either do it yourself with downloading the software or if you want, you can run on cloud deployment,
but then you do need to pay a subscription for that.
It starts at at about $24 a month or $20 a month.
If you pay for it for a year at least, at least for me.
And there are other tiers if you want to have more automations.
And so those are the different models.
There is another model as well called white label, which is if you do want to build a product that
embeds N810.
And of course that comes with commercial terms as you would expect, as is completely fair.
And that's one where if you want to do it, there's a kind of contact Us button on the website, and
you should definitely do that.
If you're thinking that you could embed N810 within an existing product that you own.
Okay, so now hopefully I think you probably already knew what N810 was, but maybe you know, a little
bit more now.
All right, let's get to it.