WEBVTT

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In this video, I will show you step by step how I created this LinkedIn post generator that creates

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for me the entire content for my infographics and LinkedIn posts.

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And here, let me actually show you I created these two infographics with the exact description, and

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everything is automatically and it's posted on our LinkedIn.

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And here you can see the images are quite good Unrevealing the differences between AI and machine learning.

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And here we've got another infographic.

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So five essential healthy habits for beginners.

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And again it's so so nice.

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Everything here is created with this entire automation.

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So we've got agent that creates post description for LinkedIn posts.

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The next agent that creates prompts for our images, the next agent that generates titles.

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Then we generate an image.

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We convert that to the file we publish on LinkedIn, and we send the post via Gmail to us.

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So with all that being said, let's dive in and let's build it from scratch.

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Also, remember, in the resources of this material, you will have the file to download that has all

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of the instructions.

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And here step by step guide how to exactly set up this entire project.

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Um, and now what we can do, we can go over to Naarden and build our project.

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Let's go over here and sign in and there start with the new project here.

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So new workflow personal.

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Let's let's go further.

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So first things first we start.

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We start with the trigger.

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And here actually the choice is yours I would like to trigger this automation whenever someone fulfills

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here the form.

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So obviously me all right.

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Because it's my LinkedIn profile.

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However you can have let's say I don't know, Google Sheets or maybe um, trigger manually.

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So whenever you click on the button like it's your choice, let's click on Form submission.

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And here we just want to provide three fields.

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Let's go over here and see.

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So in general we want to have the email post topic and target audience.

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Um, because yeah, after, um, the user provides an email, we use it to, to actually send the post

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data.

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And the confirmation that LinkedIn post was published on his email.

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And we provide the post topic obviously and target audience, which is very helpful for LinkedIn posts.

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Um, so let's go over here and there.

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Let's provide the form title.

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So let's say LinkedIn posts, um, post generator and let's write a description.

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So here provides the details to create captivating LinkedIn posts.

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Let's provide our elements.

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So firstly we have an email.

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This will be the text.

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Or even we can provide an email um provide your email here.

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Um, let's make it required.

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Next, what we have we have our post topic that we'll be using later.

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So here, um, enter um, your post topic.

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Let's also make it required add new element, which will be um here the target audience.

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All right.

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And now again please provide um for what this content is.

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And that's really enough.

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Let's click on Test the Step and then provide the email post topic.

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So what we do um let's for an example type something like free.

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Um amazing facts about artificial intelligence.

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Intelligence.

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All right.

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And then we have the target audience.

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So let's say people that are beginners in AI, let's click submit.

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And even what we can do, we can pin the data.

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So actually later and we've got this pinned.

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We don't need to for example you know um yeah.

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Fulfill again the form.

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So we've got this data we'll be using.

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And now what we can do, we can go over ahead and even let me go further and provide them sticky notes

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so you know what we are doing.

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So let me take from the second screen my sticky notes.

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And there it will be better visible for you.

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So we've got content ideas with the form.

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Let's go over ahead with the Create content.

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And here we'll have three actually agents.

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The first one for LinkedIn post description, the second one for prompts for an image to generate with

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open AI, and the third one for titles for LinkedIn posts.

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Let's go ahead.

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And here, um, just type a agent that's perfect.

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And there what we can do.

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We can click on define below.

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And there in our file you've got actually the instructions.

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We've got the prompt we can take.

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So here post topic target audience.

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We provide that to our agent right here.

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And also we specify under the system message because we want to provide really a pretty long I can say

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description for this agent.

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So here what we have the purpose.

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So create LinkedIn posts that are professional, insightful and engaging tailored to any topic and audience.

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How it works.

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Whenever you receive a topic follow this process.

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So here research, write the post and then of course you can stop the video or even go over to this

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file and like read it.

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Here we have the output rule sample use use cases use case actually.

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So for now um this is as simple as that.

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You can just copy that and paste here.

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Also remember in the resources of this material you will have the JSON file of this template.

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So you can just download that and yeah import here.

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It's also a great way or even just you can build it.

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So for now we've got it I don't I don't I actually think it's no needed to speak more about the system

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message.

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You can read it in your free time.

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Let's test the step.

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And even before.

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All right.

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We need to choose the model obviously.

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And there do other stuff.

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I forgot about it.

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Um, so here let's pick open AI and let's go over with for.

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Oh.

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All right GPT four.

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Oh and also what's very important next what we can do.

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We can click on the plus.

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So add the tool.

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And there we want to actually add the tool to search the web.

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All right.

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We need to search for the specific information because you need to remember like our agent is limited

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to the specific data.

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All right.

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Um yeah.

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Um so here we want to give it an access to the internet.

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And there let's click on the HTTP request tool.

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And here what we can do.

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We can type use this tool to search the web for necessary for necessary information.

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Or even we can just type search the web.

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All right.

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Let's click on post.

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And also here in the file you've got everything explained.

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So here I'm search web post and URL authentication.

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Um and there everything here.

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So let's actually copy our URL right there.

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Um and then paste it here.

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We've got authentication.

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So generic credential type here.

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And we've got the header.

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And there we need to go over to Tavileh.

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We'll be using this tool inside um this this project.

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So let's go over here.

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Um just search for the API.

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Uh all right.

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You need to just login, just set up your account of obviously.

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And there you've got 1000 credits.

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Um, yeah.

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So you can search the web 1000 times.

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It's nice.

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I can say it's very cool.

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And here you should have your key.

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Yeah.

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Here.

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The name, everything there.

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So actually you can go over also to the documentation and there to the API reference.

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And here you've got everything explained actually you've got to search.

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So post search here.

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Authorization the body to be you need to provide here also will be just copying this entire.

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Yeah this entire code.

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So what we have we've got the query.

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Um so who is um Leo Messi for an example will be providing this parameter.

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Um, so the question here, we've got a topic um search depth of course.

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Actually um lay there.

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Um you can play with that.

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So for example chunks per per source max results um days here.

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Um, yeah.

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Answers a lot of more nevertheless about it later, however, I wanted to show you that you've got a

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documentation you can use if you, in case you have any problems or you've got some questions, you

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can go over here and read it.

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Um, it's really useful, I can say, to actually know how to operate with the documentation, because

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you can just be more, I can say, proficient in using an A, then an HTTP request.

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All right.

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Because afterwards, if you know how to use it, um, you can just modify a lot of different things.

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Let's go over back to my workflow.

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And here click on the header authentication and create new credential.

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And the name you need to type the authorization authorization.

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And in a value you need to provide your API key that I have here I can copy that and just paste it right

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there.

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Click on save.

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So now it works.

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And um actually let's click on update.

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And then what we need to do let's go over to our file.

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We need to enable the headers.

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So here I'm actually no headers.

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We need to enable the body I'm sorry.

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Let's go over there.

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We need to send the body and let's click here on using JSON below.

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And there inside our file let's just copy and paste this JSON format.

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So here we can just paste it.

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And there also we can add definition.

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So placeholder name and description.

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And there in the placeholder we've got search term.

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Also we can copy that from from here.

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So we've got search term and a description.

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So what the user is searching for us.

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Let's go over here.

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All right.

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And now we've got that set up.

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What we can do.

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We can go over here and actually test this step.

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All right.

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See if that works properly.

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If we don't have any problems here because, um.

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Yeah.

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Let's see.

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Hopefully not.

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Um, so let's wait.

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All right.

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Let's see.

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Hey, artificial intelligence is not only transforming industries, but also opening new doors.

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Actually, let me see if you if you see that, let me change the screen.

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All right.

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So artificial intelligence is not only transforming industries but also opening new doors for innovation

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and efficiency.

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Here are three amazing facts about AI.

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Nice.

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It works.

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However, let's see if our search tool works.

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Yeah, so we can see the response.

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If you set up that, um, like if you have an error here, you should see that right there.

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It's really worth to check it out.

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If you set up properly this HTTP request because otherwise you don't have the, um, yeah, the access

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to the internet.

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All right.

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So for now I can say, um, we've got it.

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And now even let's rename it so we can rename it as um, let's say um LinkedIn post.

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Post.

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Description.

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Description.

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A agent.

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All right.

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So let's rename it by this way.

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And now let's go ahead to the next step, which will be creating another agent.

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However, now for creating and prompts for images.

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So let's provide a agent here defined below.

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And also like we can just speedrun this process because, um, everything is explained inside our community.

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And also here, um, you've got all of the instructions.

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So um, let's go over here.

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Let's provide a prompt.

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Let's add an option.

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So here click on system message there.

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Um let's go over here and see.

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We've got a purpose here.

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An agent desire to convert LinkedIn posts into visual prompts.

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Description.

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This prompts guide the creation of compelling marketing graphics that visually enhance the written message

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and align with professional branding standards.

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And there we've got the goals visual criteria, output requirements.

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So even actually you can see here you can provide for example um colors different here the style.

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Maybe you would like something more sophisticated.

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Instead of the flat logo?

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Maybe something I don't know.

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Um, yeah, I don't know, maybe 3D, um, you know.

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So here you've got output requirements, design style elements.

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Um, it's nice, you can modify it and you can decide what you would like to get.

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Um, so let's just copy that.

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Actually you have that in the file.

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So I think there is no need to speak more about it.

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Um, let's just paste it here.

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And we just we are just providing here the output from our previous LinkedIn post description, a agent.

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So here we just simply drag and drop it here.

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Um, however, you know, when I'm preparing for you these files, I'm a little bit lazy and I and I

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just like to copy and paste it afterwards.

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It's much more comfortable nevertheless, you know.

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Yeah.

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Like do it on your own.

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Let's rename it as the create um image prompt.

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Um, all right.

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Let's rename it.

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And here test the step.

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Um.

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All right.

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Again, I forgot about to select the model.

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I don't know why.

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However, I'm still.

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Let's pick GPT four or mini.

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Um, let's run it.

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So let's see how it works.

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We've got flat design illustration of futuristic cityscape infested with a elements such as robotic

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arms, digital screens representing various industries, a prominent bar graph displaying the projected

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$190 billion market growth by two 2025 on the left.

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So here we've got 2025.

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And it's nice because, um it it indicates that our HTTP request works even.

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Um, let me actually, um, change the name of that.

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So here search web.

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Let's rename it um right there.

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Let's click on Add Another agent.

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And here we just want to provide the title.

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All right.

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We'll be using this title inside our LinkedIn posts.

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Um, so it's nice.

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Let's go over here.

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And this actually description, um, will be short, so let's simply paste it here and there.

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We've got other name of the agent.

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So here LinkedIn post description agent.

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And there we had create LinkedIn post description.

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Um let's go over there and provide this output.

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All right.

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And now provide the system message.

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Just copy it from here.

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And actually it's really simple.

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The simplest actually system message we have.

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So your job is to create a clear, highly engaging title for LinkedIn post based on its description.

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Um, let's go over there.

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There's a step.

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And of course, for the first time, I don't know, guys, for the first time I forgot to choose the

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model.

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And we can pick GPT four or mini.

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Um, let's test the step right now.

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Yeah, unlocking the future free fascinating facts every beginner should know.

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Very solid title, very nice.

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And even let's rename it as Generate title.

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Generate title.

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Perfect.

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And now let's go ahead to the step which is HTTP request.

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So we'll be using that to generate an image with OpenAI actually image generation model.

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Let's um put the method which is post.

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And right away let me go over to the API.

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Um, actually OpenAI API, OpenAI API and even generate images, image generation API.

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And here again inside the docs you've got everything explained.

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So here, um, you know, model comparison models you can use.

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Um, nevertheless, also I came here because we need to take API key from there.

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So I've got API keys nevertheless.

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Um, let's go over there and change the post we've got there, the URL and also it's in the documentation.

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However, I posted it here.

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So we've got url API OpenAI version one images generations.

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Um, hopefully you've got it here.

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Um, let me see.

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Um, actually, maybe they're in the API image API.

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Um, it should be there.

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Let's wait.

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Yeah, you've got it here.

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So we can just copy it and then you can post.

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Um, let's go over there.

17:25.010 --> 17:26.290
Let's paste it here.

17:26.610 --> 17:28.650
Then let's click on send Headers.

17:28.650 --> 17:35.010
And there will, will need actually to provide the authorization um and the value.

17:35.010 --> 17:36.650
So let's see what we have here.

17:37.090 --> 17:40.170
Authorization and bearer our API key.

17:41.490 --> 17:49.570
Um there just go over to your API account and create new secret key or just, you know, um, just copy

17:49.970 --> 18:00.120
some of these, create new secret API key and their, let's say LinkedIn demo, LinkedIn demo.

18:00.400 --> 18:02.120
Let's create a secret key.

18:02.160 --> 18:07.600
Let's copy that and go over here and just paste it.

18:07.600 --> 18:08.960
Just paste it simply.

18:09.160 --> 18:13.560
And now click on send the body inside the body.

18:14.000 --> 18:15.400
Let's go over to our file.

18:15.920 --> 18:18.440
And we need to provide some parameters.

18:18.440 --> 18:19.800
So parameter one.

18:19.800 --> 18:21.600
So here we specify the model.

18:21.600 --> 18:24.000
We specify the value there the parameter two.

18:24.040 --> 18:28.640
So the prompt obviously we need to provide it from our agent.

18:28.960 --> 18:32.680
And we've got the parameter three which indicates the size.

18:33.320 --> 18:37.720
Uh when you go over there to image generation of course you can manipulate the size.

18:38.000 --> 18:39.400
Um, let's go over there.

18:39.440 --> 18:41.200
You've got different sizes you can use.

18:41.200 --> 18:46.320
So here, more like a landscape, the portrait, um, or even auto.

18:46.520 --> 18:48.320
Actually, you can do this obviously.

18:48.720 --> 18:55.820
Um, so just a quick fact because I want you to actually get more familiar with some documentations

18:55.820 --> 18:57.380
we have and some applications.

18:57.420 --> 19:04.660
Again, it's also nice, um, and it saves you a lot of time because you've got better troubleshooting

19:05.020 --> 19:05.580
skills.

19:05.580 --> 19:06.340
I can say.

19:06.700 --> 19:08.900
Um, so nevertheless, let's go over here.

19:08.900 --> 19:09.500
I'm sorry.

19:09.900 --> 19:12.340
Um, provide a name of the first parameter.

19:12.500 --> 19:15.300
So what we had here, we had here the model.

19:15.820 --> 19:17.780
So actually let's copy that.

19:17.820 --> 19:19.540
You know, let's copy that.

19:19.900 --> 19:23.860
Let's use our resources we have provided.

19:24.580 --> 19:25.500
Um, yeah.

19:25.740 --> 19:29.980
Add another parameter which is prompt there.

19:30.500 --> 19:38.180
We can provide just our prompt for the image so we can feed it with this data.

19:39.300 --> 19:41.460
Um, let's provide another parameter.

19:41.660 --> 19:46.300
And here we've got a size we can provide a size very shortly.

19:47.060 --> 19:49.740
And now there is the step.

19:49.920 --> 19:52.840
Let's even change the name of that.

19:52.840 --> 19:55.360
So generate an image.

19:56.680 --> 19:58.320
Let's click on rename.

19:58.320 --> 19:59.760
And here it has the step.

20:00.240 --> 20:00.720
All right.

20:00.720 --> 20:06.440
So I need to wait for some time because um yeah I provided too much images.

20:06.600 --> 20:07.040
Um yeah.

20:07.080 --> 20:07.760
Lately.

20:07.920 --> 20:10.840
And hopefully it solves in a couple of minutes.

20:11.920 --> 20:16.320
After a few minutes we've got it so we can see we've got the response and the binary form.

20:16.560 --> 20:18.720
And there we need to convert that to file.

20:19.120 --> 20:25.960
So let's go over here and just add another step which is convert um to file.

20:26.760 --> 20:30.520
And here move base 64 string to file.

20:31.320 --> 20:38.080
And then what we need to do we need to just provide um in the fixed um actually field this variable.

20:38.520 --> 20:42.120
And there just as a step hopefully it works.

20:42.120 --> 20:43.440
So yeah it works.

20:43.440 --> 20:45.400
Now what we can do, we can view the file.

20:45.840 --> 20:47.920
And now it's really nice.

20:48.160 --> 20:52.230
So actually we've got like, yeah, this text for example, cut off.

20:52.270 --> 20:53.910
However still it's really cool.

20:53.910 --> 21:00.430
We've got a fact, a predicting natural natural disasters, a creating music and art a in space exploration,

21:00.910 --> 21:01.270
of course.

21:01.270 --> 21:03.430
Remember actually you can repeat the process.

21:03.430 --> 21:06.350
So um, just, you know, again create the image.

21:06.550 --> 21:08.510
Nevertheless for now let's go further.

21:08.710 --> 21:12.830
The next step will be, um, actually I'm using LinkedIn.

21:13.150 --> 21:14.950
And now there is a disclaimer.

21:15.190 --> 21:20.790
In general, you've got two different ways how you can set up this entire automation.

21:20.990 --> 21:25.030
Because I can say creating your credentials is not that easy.

21:25.310 --> 21:30.030
So here first option is to go over to the LinkedIn and create your credentials.

21:30.070 --> 21:34.630
And unfortunately for now in the course we don't have the video about connecting LinkedIn.

21:34.950 --> 21:36.990
Um, yeah, creating credentials and LinkedIn.

21:37.030 --> 21:41.350
Nevertheless, I have for you the video that explains that very nicely.

21:41.350 --> 21:44.510
So here I will put the link in the resources of this material.

21:44.510 --> 21:50.610
And there you can just go over there, watch it and you know like connect your LinkedIn credentials.

21:51.370 --> 21:54.130
The second option will use in this video.

21:54.170 --> 21:55.690
Actually, let me go over here.

21:55.930 --> 21:58.530
We'll be just uploading the file to Google Drive.

21:58.570 --> 21:59.290
All right.

21:59.330 --> 22:00.610
So you've got two options.

22:00.610 --> 22:04.010
After you set it up you automatically like create a post on LinkedIn.

22:04.050 --> 22:06.770
Nevertheless, for now let's go over with Google Drive.

22:07.130 --> 22:09.170
And remember afterwards you can modify it.

22:09.170 --> 22:14.250
So again connect LinkedIn and let's go over to drive Google Drive.

22:14.250 --> 22:18.010
And here we want to just upload the file.

22:18.010 --> 22:20.050
And afterwards we want to just send the data.

22:20.050 --> 22:22.010
So everything on our email.

22:22.170 --> 22:24.450
So even we can just copy and paste that.

22:24.450 --> 22:26.530
And it takes just a several seconds.

22:26.930 --> 22:29.650
Let's go over here and there what we have.

22:29.690 --> 22:31.090
We've got our Google account.

22:31.090 --> 22:34.210
We've got the file upload and we've got the folder.

22:34.210 --> 22:40.290
And there I need to select um, let's say I have my folder which is for LinkedIn, LinkedIn posts.

22:40.970 --> 22:46.210
Um, and there what we can do, we can go over and provide the name.

22:46.610 --> 22:49.520
So let's provide a name which will be the output.

22:49.520 --> 22:50.640
So generate title.

22:50.880 --> 22:52.320
Let's provide this name.

22:52.680 --> 22:54.440
And now let's test the step.

22:55.160 --> 22:58.840
And after we do this we can see um yeah it went successful.

22:58.840 --> 23:01.280
So here we've got the web link.

23:01.480 --> 23:04.960
And even we can go over there to LinkedIn posts folder.

23:04.960 --> 23:07.000
And we've got our graphic uploaded.

23:07.520 --> 23:08.000
All right.

23:08.000 --> 23:08.920
It's nice.

23:09.200 --> 23:14.760
And the last step for this automation will be to send a confirmation via Gmail.

23:15.200 --> 23:18.320
So let's go over here pick the Gmail.

23:19.360 --> 23:23.400
And there what we have um sent a message.

23:24.040 --> 23:25.080
We've got tool.

23:25.120 --> 23:28.520
So let's go over to our forms.

23:28.520 --> 23:38.280
Let's provide an email subject um even text um, your LinkedIn posts is published.

23:39.280 --> 23:40.440
That's that's correct.

23:40.840 --> 23:42.920
Let's go over here.

23:42.960 --> 23:43.200
Yeah.

23:43.240 --> 23:43.680
Nice.

23:43.920 --> 23:45.000
Let's provide a message.

23:45.000 --> 23:45.800
So here.

23:46.160 --> 23:46.800
Hello.

23:48.100 --> 23:53.420
Um, here are details for your LinkedIn post.

23:53.900 --> 23:55.220
And there was very important.

23:55.220 --> 23:59.460
Let's provide a title, um here description.

23:59.460 --> 24:01.620
And there the image URL.

24:02.340 --> 24:03.100
Image URL.

24:03.100 --> 24:05.820
So we have our three main components we can use.

24:06.220 --> 24:09.580
Um let's get the title right there.

24:10.700 --> 24:12.100
Um description.

24:12.420 --> 24:13.220
Uh yeah.

24:13.220 --> 24:14.540
We've got this is the description.

24:14.540 --> 24:15.060
Nice.

24:15.300 --> 24:17.180
And there the URL.

24:18.060 --> 24:20.620
So we want to pick the view link.

24:21.540 --> 24:26.380
Um, even if you would like to instantly download that you can just provide a content to web link.

24:26.380 --> 24:28.140
So here you've got the export download.

24:28.340 --> 24:30.180
Nevertheless let's test it.

24:30.220 --> 24:32.860
And from the second screen let me show you.

24:32.900 --> 24:38.180
Let me wait for an email and show you that it works.

24:39.140 --> 24:40.060
Um, all right.

24:40.060 --> 24:41.860
So I've got um, yeah.

24:41.900 --> 24:45.220
This email, um, give me a while.

24:45.220 --> 24:45.540
All right.

24:45.540 --> 24:46.380
We've got it.

24:46.380 --> 24:49.010
So let me show you what I've got here.

24:49.050 --> 24:49.410
Tidal.

24:49.410 --> 24:53.930
Unlocking the future free mind blowing facts about AI that will inspire your journey.

24:54.090 --> 25:01.050
We've got the entire description with all of the details, and there the image URL that we can open.

25:01.610 --> 25:04.450
And we've got our image we can download instantly.

25:04.450 --> 25:11.610
So that's how you can create the entire system that creates for you perfect LinkedIn posts.

25:11.650 --> 25:13.410
Remember you can modify it.

25:13.410 --> 25:17.010
You can just refine it, provide different style of the graphics.

25:17.330 --> 25:20.090
Um, and just feel free to check it out.

25:20.090 --> 25:20.730
All right.

25:20.770 --> 25:24.730
Here again in the resources you will have the template to use it.

25:25.010 --> 25:26.770
Um, so actually you can import that.

25:26.770 --> 25:32.170
You will have also the file and with all of the explanations how to set up this and project.

25:32.410 --> 25:34.410
And I can say for now that's everything.

25:34.570 --> 25:36.090
Thank you for watching this video.

25:36.090 --> 25:37.370
I hope you enjoyed it.

25:37.370 --> 25:41.330
And remember to leave us an honest review or even rating of the course.

25:41.330 --> 25:42.610
We really appreciate it.

25:42.930 --> 25:44.450
And again, for now, that's everything.

25:44.490 --> 25:47.450
Thank you for watching and I will see you in the next material.
