WEBVTT

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All right.

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We're back here in NH and I'm going to press sign in to come back in as the account that we just created

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a few moments ago.

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This comes up.

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That was the name that I gave my my instance.

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I click open instance and here it is.

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This is looking now at the the the home screen if you're still on the previous screen we were on before

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with that workflow, you can just press this home button right here and you get to this screen, the

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home screen for this instance.

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And you can see here that it has, uh, my workflow.

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This is the thing we created earlier sitting there.

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We're going to start again and create one from scratch like we did before and use open AI this time.

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Okay.

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So follow along with me here.

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And tomorrow we'll explain what all the different terminology means.

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We first press Create Workflow right here.

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And we get again this fresh screen a new screen for us.

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We'll add a first step.

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And again we are going to add this thing here on chat message on the right.

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Click there and then remember what you do next.

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You press escape.

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There we go.

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Or you click that back button at the top left.

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So here we are now going to press this plus button.

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You remember what we do next.

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We click on AI.

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And next we do AI agent.

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And here is our AI agent.

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And next it's either back to canvas or it's escape.

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Here we are back on this canvas.

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All right.

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The chat model is the first thing for us to select.

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You may remember last time we did open router at this point.

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And you may do that again should you wish.

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Uh, but I'm going to this time do chat open AI, which I do by typing open AI.

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And there we see the open AI chat model and up it comes.

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Uh, there is also, by the way, if you're if you're starting for the first time, you can create get

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100 free open AI API credits.

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At least I can at this point by pressing this.

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I don't know if you see that too, but but I'm going to ignore that for now and just push on and use

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the credits that we just set up.

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Okay.

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So now I'm going to again click here and say create new credential, just as we did with Open Router.

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And again just as we did with Open Router I'm going to paste in here that API key that I still got in

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my clipboard when I copied it just a few moments ago.

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I do paste, I say that and now I'm going to press save and we'll see what happens.

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Credential successfully applied.

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Testing successfully tested.

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It works.

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If it didn't work for you, remember just go back and do it all again.

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Create a new API key, copy it, paste it straight in here.

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Don't go through another editor.

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They can cause trouble.

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That's the way to make sure you've got a good API key.

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All right.

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We are now set up.

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No thank you.

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We're now set up to be using open AI.

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Okay.

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Now in this box right here we're going to keep this to say from list here.

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And this one here is the list of all of the models available on open AI.

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Now there's lots of models and the as of right now, for me, the fanciest one is GPT 5.1.

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But we're gonna stick for now with GPT 4.1.

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Mini looks just like that.

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GPT 4.1 Hyphen Mini.

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You can either you should be able to find it in this box, and the reason I choose that one is that

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it's really fast and it's really cheap, and it's just a great one to use to start with.

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There's an even faster, cheaper one called GPT 4.1 nano that we could also use, but but we'll use

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mini for now.

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It's still very, very cheap for simple messages like this.

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Okay.

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And so now how do we get back again?

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We get back either by clicking here or by pressing escape.

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And what we should now be able to do is click here on the bottom left in the in the in the chat section

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and we should say hi there.

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And off it goes.

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And it's thinking and it's processing stuff is happening and we get an answer back.

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Let me make this a bit bigger for you.

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An answer from GPT.

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Hello, how can I assist you today we just connected to to open AI and we got back a message.

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And now I want to show you something that you may not be expecting.

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Look at this.

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I'm going to say hi.

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My name is Ed and off it goes and thinks you can see it doing its stuff.

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And it's thinking and it's thinking.

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Hi editor.

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Nice to meet you.

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How can I assist you today?

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Okay.

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I'm going to say hey, what's my name?

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So I have to click here.

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Hey what's my name?

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And it's going to think and it's going to do its stuff.

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And it's going to say I don't know your name yet.

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Ha.

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Were you expecting that?

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It's like what?

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So this is a key learning moment.

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Remember what I said earlier when I was defining an LLM and explaining that we sometimes get fooled

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by using ChatGPT the product.

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It gives it lots of lots of a sense of having things like a memory while you speak to it.

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The LLM itself, OpenAI, GPT 4.1 mini.

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It's something which is entirely stateless every time you call it with an input, it's a new input.

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It doesn't know about the inputs that came before.

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The way that we can give this illusion that it remembers what's going on is by adding software around

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it.

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That gives it things like a memory.

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And that way it will know that if I say, my name's Ed, and then I ask it what my name is, it's going

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to remember it's Ed.

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So if we were writing software, we would have to build some code to have memory of the people.

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We'd need a conversation history, and the N810 gives us that functionality out of the box really easily,

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just with a couple of clicks.

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Okay, so here's how we do it.

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We click just below memory here.

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You probably guessed this was coming.

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Click there and then you can see it says for beginners.

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That's nice of it.

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Simple memory stores.

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So no credentials required.

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Let's use that for now.

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Click in simple memory.

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Press escape to go back.

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Here we have it.

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We have this simple memory.

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Uh, and by the way this this box has come in yellow like this to represent the fact that something

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changed since we last ran it.

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So so it's something that that is potentially not in sync with the latest functionality.

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That's why I'm going to press.

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Do you see this little this little arrow at the top here.

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Reset chat session that's going to clear everything out.

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It's going to allow us to start again and run our little test another time.

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Okay.

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Let's see.

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Let's say hi there.

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Off it goes.

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Always watch these, uh, these pictures here as you see it, thinking.

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Hello.

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How can I assist you today?

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Uh, say my name said my name's Ed.

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Okay, off it goes.

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It's thinking, it's thinking.

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It's doing stuff.

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Hi, Ed.

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Nice to meet you.

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How can I help you today?

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What's my name?

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Here we go.

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Off it goes.

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You can see things are happening.

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Stuff is happening.

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Your name is Ed Ha.

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Success.

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Uh, it may not seem that amazing.

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And you may be thinking I could do that in ChatGPT.

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But remember, we are building bits and pieces of the ChatGPT product right here.

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That's what we are doing.

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So we have just done something super simple.

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We've given this ability for the context of the conversation to be held so that we can have this conversation

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with an agent.

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And if you were coding, this would be just a few lines of code, but it would be a few lines of code.

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What we've got here is we've done all of that by connecting together boxes and lines which which we

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will be doing a lot of over the course of the next few weeks.

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Okay.

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That's that's nice.

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It's time for us to add a tool.

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Okay.

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I would like you please to open a new browser window and go to a web page called Market Stack.

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Market stack.

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Here we are.

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Now you will have I'm already logged in.

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So I've got like a dashboard thing here.

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But you will have a sign up button that will allow you to sign up.

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And you go in and you select free.

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There's there's different types of accounts.

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You want a free account.

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And when you've done that it takes you to your dashboard page as soon as you've signed up.

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It's very quick and I can't take you to my dashboard page because it shows you your API key right there

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in the center in big letters.

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And then you would have my API key, but you should take that key and copy it to your clipboard.

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Uh, there's really it's very, very streamlined.

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There's very little to it.

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And now anyway, you're starting to be a pro at setting up these accounts and API keys.

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We're going to be doing a lot of them in the next few weeks.

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But do that.

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And now you have an API key to the free service market stack.

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It should be super simple.

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Get that key copied to your clipboard and I'll see you in a sec.

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Okay, here I am back in NAS and I pressed that button to clear my chat.

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The button that's just around here.

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Now, we come in here and I'm going to press this plus button underneath tool.

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I press plus and up comes a list of tools on the right.

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And I'm going to type the word market and market stack tool appears there.

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Click on that.

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Up it comes.

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Go to this credentials connect with drop down and select Create New Credential.

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There's an API key field and paste in that as before and then press save.

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Uh and it says credential successfully created saved.

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And now you press escape.

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We go back here.

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No thank you escape again.

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And we're back here.

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And it's got that red thing.

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Oh sorry.

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They come back in here.

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I'm sorry.

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Double click again to come back in here.

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There's just a couple more things to do.

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Uh, in this, uh, leaf tool description is set automatically in resource.

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Leave that set to end of day data in operation.

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Leave it at get many.

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That's great.

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Under ticker.

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This is where this tool needs to be told.

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Which stock ticker are we looking for?

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This is about looking up stock prices if you didn't figure that.

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And here there's a little funny magic button to the right that says let the model define this parameter.

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Click that and it now says defined automatically by the model.

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This is saying we are going to ask the LM.

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We're going to ask GPT 4.1 nano to decide what stock ticker it wants to use when it uses this tool.

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And now you can leave this this leave this as limit 50.

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There's one more thing to do which is that this add filter drop down here.

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Click there and just click latest like that and then turn that on like so.

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So you went to add filter latest and you turned it on.

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And when you've done all of that you can now press escape.

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And now that that angry red symbol has gone and we're ready to try this out.

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This is a tool.

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Get many end of day data in market stack.

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There we go.

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We have a model.

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We have memory.

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We have a tool.

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Let's try this out.

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And so here I go.

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And I say hi there.

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Clicking in the chat down here There's lots of whirring, lots of thinking.

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Hello, how can I assist you today?

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I'm going to say, um.

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What?

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Please, please tell me the, uh, um, end of day equity price for, uh, what?

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Should we go with Google?

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Let's do that.

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Let's run.

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Watch what goes on here.

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Watch, watch, watch.

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Things are happening.

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You do see that?

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Just suddenly swizzled.

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You can see some information here.

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The end of day market price for Google on the 8th of December was 31 3.72.

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Wow.

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We just had an LLM.

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We just had a conversation with a model, and it had the ability to look up stock prices.

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And it did it using a tool.

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And it all happened like over here with colors flashing.

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As our workflow came to life, the AI agent connected to OpenAI, it used its memory to keep a conversation

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going with me, and it looked up the Google stock price in market stack, and I can continue the conversation.

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I can keep going.

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I can refer back to what I've said before because it will it will have that memory.

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And and you can try this out yourself and see how you have given this capability to a model.

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And I hope this gives you a sense of just how much more we can do with this.

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This is really our staging ground.

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This is the starting point we will be building from this simple beginning.

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An agent that runs with tools will be using this to build more and more sophisticated business capability

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in the coming weeks.

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Okay, I'll see you back for the wrap up.

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Congratulations on building your first business workflow in ten.

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Simple, but a stepping stone to much greater things.

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I want to mention that that you may not know this, but.

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But you've got something extra with this course, whether you like it or not.

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And that is.

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You got me.

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Uh, I come with the package.

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Uh, I'm available to help you if you get stuck.

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That's what I'm here for.

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I you can you can always reach me through the Udemy platform.

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You can also reach me in LinkedIn.

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This is where I am.

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You can read all about Nebula and my other background and the other courses, uh, that I, that I teach

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on or where I speak on my LinkedIn page.

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And you can also connect with me.

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Some people are coy about connecting with them on LinkedIn, and they say, you know, if you want to

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connect with me, you must mention where you knew me.

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I'm not coy at all.

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I love connecting, so by all means, connect with me.

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Reach out.

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This is where you'll find me.

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You can get hold of me, and, uh, I will, uh, if you say hi to me, I'll say hi back.

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Uh, it's not an agent.

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It's definitely me.

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I do sometimes use copy and paste.

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I reserve the right because I say similar things that I do sometimes, like paste in half, at least

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half of my answer.

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But it's always me at the helm, always me pressing that button or saying saying hi myself.

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So do connect with me.

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You don't need to say hi if you.

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If you don't, I'll connect with you.

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With you for sure and reach out to me by email or on Udemy Q&amp;A if you've got questions.

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Questions sometimes get buried in LinkedIn, so there's something's better, especially if it's like

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a detailed technical question to do it in Udemy or by email.

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But but either way, I will I will be responsive on all channels and I love hearing from people.

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I love this community, so take me up on it.

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I come with the package, connect with me.

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If I haven't said that enough, I'll say it like another 100 times until you.

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Until you're beaten into submission.

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You connect with me just to shut me up.

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Uh, and, uh, do ask questions anytime.

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That's what I'm here for.

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Also, as you make projects, as you bring things to life with Nh10, then post about it on LinkedIn.

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Describe what you did bring up, take a screenshot or show some of of what you've accomplished.

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And if you tag me and make it relevant in some way, then I will weigh in and add to it, and that helps

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to amplify your accomplishment so that perhaps future clients might see that and might be interested.

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So.

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So I can help with that.

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And I love doing that.

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So take me up on that too.

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And similarly, if you see that, that other people from the course are posting things that I'm weighing

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in on and you see that in your feed because we're connected, then I would really appreciate it if you

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weigh in as well, do do like it and add your comment, because that helps amplify the community.

15:31.830 --> 15:33.470
And that's great for everyone.

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That's part of this program.

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Okay.

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And with that, can you believe it?

15:38.630 --> 15:41.870
We have already completed the first day.

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The first day is marked off.

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One day down, 14 left to go.

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You're not going to believe all the things we're going to build, but that means you're already 7% of

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the way through this program.

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Many congratulations!

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I can't wait to see you tomorrow.

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And we're going to get deeper into the theory of n810 and agents.

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I'll see you then.
