WEBVTT

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Google will freeze model is available right now inside an addon, and there are already profiles that

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make millions and millions of views.

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For example, this profile creates unbiblical videos and one of their videos gained 27 million views.

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Another profile, which is very popular right now is about the Z80 which is making vlogs.

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And again, these videos get millions and millions of views.

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Also what they do, only they publish the videos published with Vo3.

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And now we can automate the entire process with this entire automation.

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And if you don't know what is happening right now, Vo3 is the latest video model that produces highly

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professional, realistic or even unusual videos from scratch.

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So here, for example, this Yeti, I don't know his holding like the camera on the bamboo and his like,

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you know, I'm showing his entire life, so it's pretty cool.

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It gets millions of likes and millions of views.

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So in this video I will be showing you step by step how to build this entire automation that creates

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for you viral video free videos.

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So for an example here, we've got two agents to create an idea and a prompt there.

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We just trigger this entire application.

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So we create the video free video.

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We get it.

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And at the end we just store it to Google Sheets.

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Also we can use this automation and for an example, publish the content on TikTok and just do it within

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seconds.

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Okay, so with all that information, let's build it from scratch and the first thing will be our trigger.

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And there I chose on a schedule.

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However you can choose trigger manually.

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So I'm runs the flow on clicking on the button and there on form submission.

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And you know other ways.

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However, I would like to pick on a schedule.

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So I would like to trigger this entire automation at midnight every day.

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Then what I have right away.

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This is a agent and we want to firstly create an idea.

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So in general what I can do I can click on define below.

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Also execute previous nodes.

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And there.

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What I can do I can provide the specific prompt and system message.

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So let me choose.

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However what I can do I can go ahead to my document.

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And from here just copy and paste our prompt and system message.

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And I will explain you in a while.

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However, let's just copy it right there and there.

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And this is the message.

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And you can find it in the resources of this material.

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Remember, however, what we have inside in the prompt we've got give me an idea to create the content

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about biblical characters speaking to the camera and making flag.

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And there in the system message what we have, let's change it to expression and we've got the purpose.

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So you generate viral short form video ideas inspired by biblical characters or scenes styled like like

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modern TikTok vlogs.

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These should feel personal, emotional, and often humorous.

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This is the nice sentence actually, because, you know, this is very humorous.

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We've cut like the content, you know, like look on this video yet is holding a camera on a stick or

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bamboo like, like they're it's pretty nice.

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And again, we've got, we've got a lot of these profiles.

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So when I go over here to the TikTok, I type Vo three, um, for an example, like, you know, um,

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this video from building a pyramid, um, like this entire video is so, so cool.

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Um, let's go back.

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So we've got an often humorous and there we've got, um, the think tool prompt.

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So I'm using the think tool for this agent.

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Actually, you can see that I'm using the think tool.

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Um, right away maybe we can add it.

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So first the chat model which is OpenAI.

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Okay.

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Uh, we are using I'm using GPT four or mini.

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It's cheap.

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It's nice.

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It's efficient.

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So I'm using that for the memory Actually, you know, we are not using memory.

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However, we are using the tool which is think tool.

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And if you're not familiar with that, we've got in this course the entire video about the tool.

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However what it does, it allows our agents to think, to actually refine its response and afterwards

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give you the final response.

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So it's kind of the safety net, actually.

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It allows your agent to do multiple different steps.

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So let's say for example firstly it creates the response.

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Then it goes to the think tool that asks, all right, is this response relevant to our topic.

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Or it's like it's relevant to our instructions.

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Then what it does, it goes ahead and it refines the response and it continues until we get the final

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answer, which is perfect.

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So this is the great I can say habit to include.

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Think inside your agent.

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It's so, so useful.

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Additionally, we would like to have the specific output parser.

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So in that case we can back to canvas and we can provide the output parser, which is structured output

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parser.

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For that case we'll be using specific format.

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So let me go over here and copy this format.

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And inside you can see we've got the caption idea environment and the status.

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So straightforward.

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We are just copying and pasting it here okay.

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However let's go back to our instructions because I think they are very crucial.

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So we've got this purpose.

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Um, so this entire content think tool output requirements.

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So caption short poetic or funny TikTok style include emojis and 3 to 5 hashtags for an example.

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You know Bible for you, holy comedy like ancient vibes and a lot of more.

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Uh, it's pretty nice for TikTok videos especially.

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We've got an idea.

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So 1 to 2 sentence summary of the action story or twist in the video environment.

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Describe what the set looks like.

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So light textures, mood setting.

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So think GoPro meets ancient Jerusalem status must be to create.

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So in general.

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Um, actually, we've got our Google Sheets we'll be using later.

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And there we've got two statuses.

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So the first one is to create and the second is to create it.

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So actually we can preview if the video was created we've got JSON output parser I like to provide it

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even in the instructions.

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So we've got better chances that it will stick to this entire format.

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You know.

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And also we give the model like you know, we give the model the instructions that, hey, we are using

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this output output parser.

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So it's cool.

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Sample output.

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So I provided some two examples actually three.

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So here caption idea environment and status.

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Also this is the great tip to provide examples.

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So like you know models like LM models like our agents I can say don't think like humans.

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They work, you know, on the specific text and even they don't understand the text.

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However it's for another video.

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Nevertheless, it's great to give them the raw data.

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How?

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What's what's the format?

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Even if you're using ChatGPT, you can do the following stuff.

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Let's say you write an article, you you provide some specific article you wrote on your own and then

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what you say, all right, this is my style.

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So remember it, okay?

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Remember it.

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I'm writing this way.

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This way I'm using these words.

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It's pretty useful.

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It's just a small tip I'm using every day.

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But we've got example one and two and three.

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So we've got our system message.

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After we do this we can actually test, you know, we can test our step even before we can name this

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agent as uh, create an idea AI agent.

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Let's rename it.

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And now we can test the step.

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So afterwards we've got our content.

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So the variables.

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So just a regular day in the lion's den.

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So it's pretty funny I can say Daniel sits in the lion's den casually explaining his day at work while

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quietly lions are yawing beside him and occasionally licking his face.

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So?

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So I think it would be really funny.

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Therefore, say to the end of this video, then we've got an environment and a status.

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So we'll be providing these fields inside the Google Sheets.

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And right now I can say this is pretty everything and we can move forward to the next agent.

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And now what we can do, we'll be using very similar agent.

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So we can just copy like, you know, hold the control and select all of these elements.

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And now click on Ctrl D so it will be duplicated.

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And now uh yeah we can just customize another agent.

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Let's connect it firstly.

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So it will be to create um video prompts okay.

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Let's rename it.

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And then I can go over to my document.

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And what I have I've got a prompt.

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So let me simply copy it here Paste, um, even choose okay and choose the choose to the expression

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um system message.

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And there in general we need to um disable specific output format.

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So we would like to only get the prompt.

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However it's not necessary to um require specific output format.

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Nevertheless what we do um in the prompt we indicate create a prompt for the Vo three video based on

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the following information.

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Idea environment.

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That's everything.

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Okay.

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Nothing complex.

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Um, and this is the message.

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Um, it's it's wider.

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So for sure we've got the system message here.

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A professional cinematic prompt generator for a video tools.

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Your task is to convert a short form video idea and its environment.

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Description.

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Inspired by biblical or ancient world themes into a highly detailed, camera aware, emotionally rich

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prompt.

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Suitable for generator for generating a cinematic video.

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I'm using Vo three, free.

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So for an example we've got V0 free prompt structure guidelines.

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So here each prompt should be natural, cinematic and visually immersive including scene description

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character focus, camera movement.

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So I provided all of the elements that are very important for V0 free model.

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So we have you know you can stop now the video and read it all carefully.

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However, what we have ls time of the day, atmosphere, texture, style, quality, also input and

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example output.

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So we've got this entire, you know output that we would like to get.

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And it's pretty simple.

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So in the input also we've got you will receive two fields ID environment return only the complete and

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detailed view prompt.

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No additional text.

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Let's see if that works so we can test a step.

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Hopefully it works.

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So let's wait for some time.

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All right.

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So actually if you have more sophisticated examples, it takes more time when it comes to, you know,

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working with a agent with your LM model.

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So up to one minute, it's not that long.

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Um, so let's wait.

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I think, um, a few seconds more.

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Um, so we get our perfect prompt after, I think one minute we've got our output.

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So a cinematic scene captures the whimsical yet tense atmosphere of Daniel in the lions dance.

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Um, then the camera slowly pushes in on Daniel, who sits comfortably among several quirky lions,

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each showing lazily and playfully licking his face.

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Pretty funny.

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Yeah.

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So let's go back to canvas.

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So we've got our two agents so far, and for now, what I can do, I can pin the data.

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So actually, you know, um, if something happens, um, or I want to refresh the automation like this

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data is saved.

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I like this idea.

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So by this way you can control all of the yeah, all of the content.

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And the next step will be to provide our Google Sheets.

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Because here we want to append the row.

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We want to save this data inside our specific Google Sheets.

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So let's go ahead append row and sheet.

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And then uh what we do we provide our document.

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When you go over to our data you've got Google Sheets template.

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And then I prepared for you this template.

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So you've got idea caption status environment and video URL.

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And if you're here you click on file and you click on make a copy.

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Uh by this way you can, you know, get access to your very own copy and store your ideas.

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So I've got actually my document which is Vol three.

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Vol three videos videos template.

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Then I can choose the sheet and I will be providing the following data.

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I've got an idea, so let me pick the idea from create an idea a agent.

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Here what I have I've got the captions, so caption okay then it's the time for status to create environment

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and we are done.

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Okay we can click on test step.

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So we saved this data inside here.

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And we can type the name.

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So save content information correct.

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Um and now there is the step actually in the meantime let me maybe take the sticky notes from my created

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automation.

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So we see what happens actually you know and there what we have we've got our input.

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So video topic we've got our steps to create a video.

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Um in this gap will be our Google Sheets.

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So let's do it.

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Let's very simply organize it.

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All right.

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I think now it looks better.

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All right.

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Um, so what we've what we have, um, our inputs.

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So video topic we created with two AI agents.

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We save the data inside Google Sheets.

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And now there is a time to create a video.

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We are actually using HTTP requests.

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So what we do uh, we pick HTTP request and then we choose the method which is post.

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We go to our file and we pick our URL.

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For this case we'll be using full AI um platform that allows us to connect with video Vo three directly.

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So it's a great case actually.

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This platform allows you to use different models and I'm using that.

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Yeah, it's pretty nice.

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For the authentication.

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You choose the generate credential type.

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You choose the header authentication.

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And now what you do, you go over to full, uh, full AI API.

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The link will be in the resources of this material.

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However, what you do, you go over here, then you create your account.

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And for this case, um, actually you need to remember when we are creating for now the videos.

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Um, with Vo three, it's I can say it's quite expensive.

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So for the day of recording this video, it's June 10th, 2025.

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Um, for an example, when I click here, you can notice that, um, for every second of video you generate

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it, you will be charged $0.50 with audio off or $0.75 audio on.

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For example, a five seconds video with audio on will costs $3.75.

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So for sure, if you're watching this material like, I don't know, two weeks, um, two weeks later

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or even six months.

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And so like this cost can be pretty low or even it will be very cheap.

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However, when I'm recording this video like Vo three model was released a few days ago, so that's

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why the cost is pretty high.

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Nevertheless, again, please check what's the cost for the moment of you creating this automation and,

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you know, watching this material?

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This is very important because sometimes we may see a lot of automations that are very complex.

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They do crazy stuff, you see, like it's magic.

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It does everything for me.

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However, the cost is $10 per run.

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Okay, so it's not that magical anymore.

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Yeah, but what we do, again, we set an account, um, right here in the fall.

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I, um, there we choose actually, with the fall AI.

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Now, I can go ahead to home and search for the API keys.

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I can add the key and name it as and then testing.

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Okay, I can create the key.

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Let me copy the key and then I can go over to my header authentication.

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And here create new credential.

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I type authorization.

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Exactly.

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You need to type this name also in the document you've got you know what you need to do.

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So generic credential type here header authentication authorization and key.

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So again you have a lot of data there.

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Nevertheless let's go over there.

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And here just click on expression provide the sentence which is key.

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And then our API key.

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Uh so let's see okay.

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We don't have um too much spaces.

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And for now I can name it as uh how to name it.

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Um full I test.

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Okay.

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Vo three and brackets Vo three.

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All right.

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Let's save it.

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And we've got our credential connected.

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Next what we need to do.

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We need to send body.

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And here, um, we need to actually let me go over to the documentation and we need to send body and

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their content type, which is row and content type, which is application JSON, and the body which

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is this one.

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Okay.

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So in general we pick row, we provide this content type and then we pick the body.

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So we just provide the body here.

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However you know um you need to have the body from there.

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So create video prompt.

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Let's um like delete this entire sentence and now provide the output from there.

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So we've got create create video prompt item JSON output.

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By this way you connect to full AI and you generate the video.

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You give it the prompt.

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So as you can see it's not really you know, it's not really hard.

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You just only give the prompt and then you create the video.

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With all that being said, now I can click.

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I can even rename it.

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So create video.

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Now we can test the step and see if that runs.

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So we've got an IQ request ID request response url status URL.

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So for sure it works.

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And the next step will be very important because we need to wait.

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We need to wait for ten minutes.

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I can rename it as wait for ten minutes.

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And this is due to the fact we need to wait for the content being created.

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So for the purpose of this automation, I will set 10s.

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However, afterwards I will change it so I can wait ten minutes.

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And when you run this entire, you know, this entire step, for now, I will pin the data.

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Um, however, if you run it, you can go ahead to full AI and here click on home.

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Click there so you will see this entire box.

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And now you've got requests.

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So you should see video is in progress.

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Okay.

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Video is in progress.

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So it's being created.

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We need to wait approximately ten minutes.

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Okay.

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So after approximately ten minutes you can see our video is generated.

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So we can process with the next step which is actually HTTP request.

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However for now um we want to get content.

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So the method will be get.

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We can execute previous nodes for sure.

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So this one it's 10s actually.

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So let's wait.

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All right.

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Let's wait a while.

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Okay.

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Um, and now we need to provide the method which is get URL.

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So we can go to our file.

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We've got the URL which is this one.

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And what it does simply um it actually gets our video by ID.

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So then uh, there we provide this entire sentence, Intense.

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Plus, I picked the ID from, uh, actually, this, you know, this specific.

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Um.

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Yeah.

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Note.

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And this variable.

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So we've got request ID, as you can see right there.

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Um, yeah.

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And now what do we do.

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We go over ahead with the authentication.

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So again we pick generic credential type there header authentication.

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And we choose our authentication we created previously.

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All right.

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And with all that being said we can rename it as Get Video.

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And we can click on rename.

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And we can test this step.

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After we do this we should have the video URL.

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And if you take this video URL you paste into your browser you should get the video.

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So let's uh, see what we have.

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You know, just another day at the office.

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Really?

21:24.250 --> 21:25.370
What do you think about it?

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What do you think about it?

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You know, just another day at the office.

21:28.090 --> 21:28.610
Really?

21:30.470 --> 21:31.310
It's crazy.

21:31.470 --> 21:31.990
It's crazy.

21:31.990 --> 21:32.790
I need to say.

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It's ridiculous.

21:34.190 --> 21:34.990
It's funny.

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It's unusual and it's realistic.

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You know, just another day at the office.

21:40.910 --> 21:41.430
Really?

21:42.470 --> 21:45.990
And this is coming from perfect.

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It's so cool.

21:47.310 --> 21:48.550
So we have this video.

21:48.550 --> 21:57.030
And the last step for this automation will be to save the video URL and change the status to done.

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I'm actually to create that and we've got our Google Sheets.

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We can click on Append Row.

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And then um we've got our Vo three video template.

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We've got a sheet.

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And what we do um we change the status to created and we provide the video URL.

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So we've got the video URL.

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And then we just test the step and hopefully it changes here.

22:24.550 --> 22:25.590
So let's wait.

22:26.670 --> 22:27.970
So you can see it's done.

22:27.970 --> 22:30.370
We've got a status which is created with the URL.

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So everything is at the point.

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And by this way we created our fully functional, um, automation for creating um, the videos with

22:39.930 --> 22:41.890
the Vo three model.

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Moreover, I need to mention feel free to modify this entire template for sure.

22:47.050 --> 22:50.730
Also, you can download it so JSON file in the resources of this material.

22:50.730 --> 22:57.210
But what you can do, you can just take it and what it does um it basically creates for you the videos

22:57.490 --> 22:59.570
um with Vo three and model.

22:59.610 --> 23:01.410
Nevertheless you can add some specific steps.

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I don't know, maybe you would like to publish it on TikTok.

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Um, you've got other videos that show, um, in other videos, for example, in TikTok, um, video

23:11.090 --> 23:17.370
machine, we show how to how to publish videos on TikTok, how to connect it using potato.

23:17.530 --> 23:24.730
So remember you can provide different other nodes and just publish this content on TikTok, on YouTube,

23:24.930 --> 23:28.830
on, I don't know, maybe Facebook, um, and other different platforms.

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Maybe you would like to save it instead in Google Sheets inside the notion, just connect it to the

23:33.910 --> 23:35.270
slack to send a team.

23:35.470 --> 23:37.110
So treat it.

23:37.150 --> 23:37.550
Treat.

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Also the automations we publish in this course as kind of the base okay that works, that is created,

23:45.550 --> 23:47.390
you know, with all of the necessary steps.

23:47.430 --> 23:50.110
However, after you create it, feel free to modify it.

23:50.150 --> 23:52.830
Feel free to provide something on your own.

23:53.070 --> 23:58.870
Um, because for sure, maybe I know people that like to use, for example, Airtable.

23:58.910 --> 24:02.830
Personally, I prefer to use more like notion, Google Sheets, and so on.

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However, they like to use Airtable.

24:04.790 --> 24:09.310
So remember, all of us has its own, you know, um, their own.

24:09.430 --> 24:10.710
Um, yeah, preferences.

24:11.270 --> 24:13.950
Um, however, for now, I can say we've got it.

24:13.990 --> 24:20.430
We created, um, this entire automation that produces for you viral video, free videos.

24:20.630 --> 24:21.630
Thank you for watching.

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Thank you for your attendance.

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I will see you in the next material.
