Create ANYTHING with Sora 2 + n8n AI Agents (Full Beginner's Guide)

So Sora2 has been taking the internet by storm. So what I'm gonna do today is show you guys how you can use n8n to get 10 times the output, higher quality outputs, no watermarks, and use Sora2 for 6 times cheaper than through OpenAI directly. So Sora2 has some really fun use cases, and I love that it's getting people who aren't super interested into AI interested in AI, but it's more than just having these funny, cool videos. Businesses and organizations are actually using Sora2 to power their creatives, their media, their content, their marketing. All this kind of stuff. Not only does it create video, but it automatically creates the audio too. Just look at this Starbucks example. Starbucks, discover your flavor. So if you understand how to use this technology, not only can you save yourself or a business a ton of time, but you could make a lot of money. So anyways, today I'm gonna be showing you guys step by step how to connect to Sora2 in n8n over API. but then I'm also gonna be going over these examples where you can do text-to-video, image-to-video. You can have cameos, so people like Mark Cuban or Sam Altman in your Sora2 videos. You can create storyboards so you can lay out different scenes and have consistent characters throughout. And then I'm also gonna talk about prompting. So feel free to follow along. I'm gonna give you guys this entire template for free so that you guys don't have to actually go build this yourself. You can just use what I have here already, and you can access that by joining my free school community. The link for that will be in the description. But I don't wanna waste any time. Let's get straight into the video. All right, so before we dive into these examples, I want to start from scratch and show you guys how I connect to Sora2 in N8N. So the first step is to go to a platform called KIE.AI, which is what we were just looking at over here. It's spelled K-I-E.AI. In the past, you guys have seen me use FAL.AI, which is a very, very similar platform. Essentially, it's just like a marketplace for all of these image and video generation models, as you can see here. But here's the key difference on price. FAL and OpenAI are charging you 10 cents per second of Sora 2 video generation, whereas Ki's only charging you 1.5 cents per second. So it's 6 times cheaper to make these videos. And of course you're still getting the same quality of output, if not better. If we make a 10-second video, that's only going to cost us 15 cents, whereas on FAL or OpenAI, that 10-second video would cost us a dollar. Anyways, the first thing you're going to do when you get to ki.ai is go to your billing information and just make sure you have some credits. You probably have some for free when you get in there, but otherwise just grab $5 worth. It's going to last you a long time. And then on the left-hand side, you can see there's a section called API key, and we'll have to use this in just a minute or so. But just remember for now, that's where it is. But anyways, I'm going to click on Models Market. We have all of these different providers and options we can use, like Google VEO 3.1, Sora2 Pro. And for now, I'm just going to go ahead and click on Sora2. And so this opens up a playground environment where you could right in here start to prompt Sora2 and get your outputs right here just to play around with how the prompting works and how the outputs look. But what we're interested in is using this over API. So I'm on Sora2 Text to Video and I'm gonna click on API right here. And now all we have to do is scroll to the bottom and I'm gonna show you guys how we can set up a curl, which makes it really, really easy. You can see down here there is a request example and you make sure you're on curl. And then we're gonna copy this right here. I'm gonna go back into N8N. I'm going to add an HTTP request to our workflow. And I don't have to configure this method, this URL, any of this stuff. I'm just going to go ahead and hit import curl, paste in that curl command that we just copied, and then when I import it, it basically fills out pretty much everything that we need. Now we just have to make a few tweaks. So the first step would be to add your API key. So right here it says authorization, and then it says bearer space API key. And so this is where you would go back into KeyAI, you'd go to your API key, and you'd copy this value right here. And then you're just going to paste that right there like that. And then you'd be able to access key, and this would basically access your billing information that you put in there. But because we're going to be making multiple requests to KeyAI, I don't want to copy and paste this every single time I want to make a request. I just want to save this. So what I'm going to do is I'm going to scroll up a little bit, and right here you can see authentication. I'm going to go ahead and open this up and click on generic. For generic type, I'm going to go ahead and choose header because you can see right here this is a header parameter. And then you can see I have all of these different ones that I've already saved. You can also see that I already have one for Key, but I'm just gonna go ahead and make a new one with you guys right here to show you how it works. So you click on Create New Credential, and remember, it's the same thing as we just saw down there. So for the name, we're gonna type in Authorization, and for the value, you're gonna type in capital B Bearer space, and then paste in your API key. And then when you go ahead and save that, now you're connected to Key and And you can name this credential like KeyAI and save that. And so now I have this saved every single time that I need to use Key, which as you can see in this workflow, each one of these little workflows is one that we're going to be using Key. So now I just have it saved and all I'd have to do is choose it right there rather than go back and copy my API key every time. So just a little fun trick. And then once you do that, you can just turn off the headers because we don't need to send our API key twice. But from here, what we have is the JSON body. and I'm just gonna change this to an expression and open this up full screen so we can all look at it. So what we're looking at here is basically all of the little filters that we're sending over to Sora2 and saying, this is the type of video we want. We can see we have model is Sora2 text-to-video. We have a callback URL, which I'm just gonna go ahead and delete because that's an optional field. The only reason I know that's optional is because in this API documentation is what it's called. It basically shows you what you need to send over. So you can see the model, that's required. Callback URL, optional. Input prompt, required. Aspect ratio, optional. So you can actually go ahead and look at this API documentation and understand how you can change the behavior of the Sora2 API. So I'm not going to dive too deep into that right now. If you want to deep dive, I made a full course on that. You can go ahead and watch that video. I'll tag it right up here. Anyways, going back into NN, we can see that we have a prompt. We have an aspect ratio, we have a number of frames, which we can choose between 10 or 15, and then we have remove watermark true. So right here, what I'm going to do is just change this prompt, and this is turning our text into video. So I could just say a video of a young man throwing a coffee mug against the wall. So we have our JSON body ready. What I'm going to do now is hit execute step. So this just executed. It gave us a 200 code, which is good. It says success, and then we see our task ID is this long string. So if we go back to the documentation now, we can see what happens is when we make that request, sort of, or key basically says, okay, we got this request, we're working on it. And so what we need to do next is actually grab that back. So there's another endpoint right here that says query task. I'm going to click on that and all I'm going to do is copy this curl statement once again. So the request example, I'm going to copy that. We're going to come back into n8n. And we're going to add another HTTP request. And once again, we're just going to import that curl. And so this is going to set us up with what we need. The first thing you'll notice is that we have a task ID parameter. So basically it's saying, what request are you looking to get back? So I'm going to delete this example task ID, and all I have to do is drag in the task ID that we just got from the previous node. So I'll put that right there. Now that's a dynamic expression. And then the last thing you can see is once again, it's sending over our API key. So I'm just going to turn off the headers because we know we already set this up, up here as a generic, as a header, and then we should have our key API somewhere in here. There we go. Key AI. And so now we're set up once again. And so I'm going to go ahead and execute this step. And you can see when I run that, it comes back and it says, okay, the state is generating. And while this is generating, I'll just show you guys in Key how you can actually check on your requests. So if I go to my logs, you can see right now that this says it's running. And you can see my past runs have taken 195 seconds, 227 seconds. So it may just take like 3 to 4 minutes for us. But this lets us look at all of our inputs so we can see our prompts. We can see all of the things that we've requested from, um, these different models. So anyways, I'll check back in with you guys once this one is done. Okay, so I ran it again and you can now see that it says state equals success. And then down here what we get is a result. So we got 2 different URLs. We got one with a watermark and one without a watermark. So if I go ahead and copy this URL and I just basically say go to this URL, it downloads a file. And when I open up that download, this is what I get. Okay, that's pretty ridiculous. And first of all, what you'll notice is it was like it was in slow motion. The sound was a little weird. And the reason why this all happened is because we hardly prompt this thing at all. If you remember in the request that we made, I literally just said a video of a young man throwing a coffee mug against a wall. And so you really can't expect to get a good output if you don't prompt it very well. And so I'll talk a little bit later about prompting and how you can really get some cool outputs from Sora too. But anyways, the point of what I just did there right up here was just to show you guys that we're making two requests. The first one we set up to say, hey Sora, here's the type of video I want. The second one we set up to say, okay, Sora, Is that video done yet? Like, can I, can I see it basically? So we're basically gonna follow that pattern for all of these different workflows and it will start to make sense. But like I said, you'll be able to download all of this so you'll be able to play around with it and see. The first example that we have here is turning text into video, which is kind of what we just did up here. But what I wanted to introduce to you guys is this concept of polling. So let me real quick start this request and then I'll explain what polling is. So if you guys got into this template, all you'd have to do is go to this video prompt node and right here you could basically just input your video prompts of what you want to get back. So right here we have the default example about a professor giving a lecture and explaining that Sora2 is live. So what I'm going to do is execute this workflow. We're going to see this run. We can see what happened here is it made the request. So Sora2 is currently working on our video. Then we have a wait node because we know this takes anywhere from, you know, 2 to 3 to 4 minutes. But what you just saw happen is we checked in to see if it was done, after the wait node and it's not done yet and it just happened again. So this is going to be an infinite check where it's going to every 10 seconds go ask Store 2 if it's done until we know for a fact that it is done. And this is called polling because we're constantly making checks and this is better than just estimating and saying, okay, well, roughly this takes 3 minutes, so I'm going to just set my wait for 4 minutes to be safe. Well, that could be inefficient. And also what happens if for some reason it takes 5 minutes and then your flow moves on and there's just a big error? So anyways, the reason why this works is because in this if node, what I'm doing is— if I just make this section a little bit bigger over here— the state equals generating. And what I'm doing is I'm saying if the state equals success, then we're good, and then we go up the true branch. But you can see we've had 6 items come through and they've all gone through the false branch because the state equals generating. There was another 7th one. So it's a super simple conditional check. We're just looking to see if it's done or not. Now, one thing you would want to consider is potentially using a switch node because there's other states that could happen. You could get success, you could get generating, you could potentially get failed. And if you get failed, it wouldn't really know what to do here. So if you wanted to make this more production ready, you would probably also work in a conditional check to see if the state equals failed, and that would send you some sort of notification or something like that. All right, so that just finished up. You can see that it took 18 tries, so about 180 seconds. And then what we get at the end is our final video URL. I did a quick expression within this JSON variable to isolate just the link that we want. So I'm going to go ahead and open this up and we'll take a look.

And here's the exciting part. Sora 2 is now available on Kai AI, making it easier than ever to create stunning videos. You can experiment, iterate, and bring your wildest ideas to life right from your lap.

Okay. And that's pretty good. You can see there's dialogue. You can see there's energy. And once again, we didn't even really put any best practices with prompting into play yet. So we'll show that near the end of the video. But let's move on to this next example, which is turning an image into video, which is really, really cool. And I think this is what unlocks tons of potential. So what we have here is similar. When you guys get in here, you'll have an image URL. So right here I have this image URL, which if I open this up real quick, you can see it's an AI-generated image of a fake curl cream product for your hair. And then if we go to the video prompts, you can see I'm basically saying a realistic UGC style video of a young woman with curly hair sitting in her car recording a selfie style video explaining what she loves about the product. So UGC ads is a huge use case here because that's like what converts really well nowadays online on TikTok Shop, stuff like that, is just real authentic people holding something with a selfie style, you know, video and just saying this product's awesome, this is why I love it. And so imagine you have a product and you can just pump out 5 organic videos like that every single day without hiring actors or anything like that. So what I'm gonna do is just go ahead and run this workflow and then we'll dive into once again how it's working. So you can see we have the polling flow set up very similar to the way we had it up here. The only difference really is in this HTTP request to KeyAI is we have the video model, which is not text-to-video, now it's image-to-video. We have the prompt once again, but now we have a section called image URLs. We're sending over that public image, which the model will use as reference So in our final video, it should be holding the product that looks exactly the same as our source image. As you can see here, I said nothing about the product from the source image should change. It should appear exactly as given. We're also telling Sora that the woman in the video should say, I absolutely love this curl cream. It keeps my hair bouncy, curly, and lightweight all day long. You guys have to try it. So you can have full control over what the AI person in the video is saying. You could also control their accent and their tone and their style, that kind of stuff too. Just keep in mind that for this image URL, it has to be a publicly accessible file, so it can't be local. And then for aspect ratio, we said portrait, and that's pretty much the only difference because we want it to be like a TikTok or an Instagram Reel style. So this is running, this is doing its polling check, and I will check in with you guys once it is finished up. All right, we just got that one back. Let's go ahead and take a look at this video. I absolutely love this curl cream. It keeps my hair bouncy, curly, and lightweight all day long. You guys have to try it. Okay, that's insane. If you guys see what happened here at the end, she puts it near the camera and this looks pretty much identical to the source image that we had. It has the same font, it has all of the words looking really good, and it has that little logo. One thing you'll notice though about Sora too right now is that the first like millisecond will be your source image. Right now there's just not great support for this, but I imagine that will be fixed very, very soon. But you can see there's the original image and then there's the product appearing in the video. So it's like pretty much the exact same. One other thing that you may notice is if you want to do image to video with Sora 2, you can't have it be a person in the image. It will basically tell you we can't do this because it's a realistic looking person, even if that person is AI generated. Unlike VO3, where you could give it an AI generated person holding your product in case you wanted that to be like your brand ambassador on all of your videos, and then VO3 could take that image of the person holding the product and turn that into a video, and that would help you sort of like leap frog over the issue with the first millisecond being the source image, but that's very easy to crop out. But anyways, I think that those UGC content use cases are super cool because you could basically just keep generating those and it will be a new person every time, and it will look and feel very real, and it will look good for your brand. And once again, that would only get better if you actually prompted it with best practices. Okay, so this next thing is really cool. This is using Cameos, which basically means you can use famous people's faces and likeness in your videos. So on the Sora2 app, it's kind of, you know, like a social feed and people have profiles. So if I went here and I searched Sam A, this is going to pull up Sam Altman's profile. And you can see here in his profile, if I go to Cameos, we can see all of the times that people have made videos with Sam in them. And all we have to do to use Sam's Cameo, because he made it publicly accessible to people, is we just copy his username, which is @SamA. So in our Cameo example here, I have @SamA recording a selfie-style video in a car explaining how gravity works in 2 short sentences. So let's go ahead and run this one and it's going to do the same polling flow and everything like that. Keep in mind, you can also use cameos in your image to video generations as well. Right now I'm just doing a text to video to keep it simple. But one thing you may notice with cameos is Sora2 may be a little bit more restrictive. So I tried doing some crazier prompts or I tried throwing in some other cameos like Shaq and Mark Cuban, and it was kind of rejecting my prompts. So it just may be a little bit sensitive, especially right now, especially with so many people using Cameos and using Sora too. So just keep that in mind. Anyways, I will check in with you guys once this is done polling and once our video has been generated. All right, looks like we got that done. I'm going to go ahead and download this video and we'll see what Sam has to say for us. So here we go. Everything with mass pulls on everything else. That pull makes things fall toward Earth. Okay. That was kind of ridiculous, but looked like him, sounded like him. We maybe just would want to prompt that a little bit better so he doesn't sound like he wants to die, because I literally just said a selfie-style video in a car explaining how gravity works in 2 short sentences. And what's cool is you can go ahead and create an account on Sora and, you know, do the process of setting up your own Cameo, and then you could use that in your automations. So you can have, you know, an avatar of yourself on your social media, and you can just generate all these videos. So very cool stuff. All right, so now let's look at another really cool feature, which is the storyboards. And to explain how this works, I'm real quick gonna actually switch back to KeyAI and we're gonna click on right here, Sora2 Pro Storyboard. And for those of you wondering, we see Sora2 Text to Video, Sora2 Pro Text to Video. Honestly, I haven't seen a huge difference. And for the cost, how cheap Sora2 regular is on KeyAI, I would just stick with this for now. But if maybe you do start to scale up the system and you want all of your content going out on TikTok or Instagram and you want to use Pro, then go for Pro. But anyways, for the storyboard, how this works is you're able to set different scenes. And like I said, you can have consistent characters within those scenes, and you're able to allocate a different amount of time per scene as long as it adds up to the total duration, which you can choose between 10, 15, or 25. But as you can see, it has to allocate correctly across the 3 scenes. So anyways, what I would do is I would go ahead and copy the request example once again, like you guys saw in the demo. And what I did here was I set this up so you guys could basically put in an image URL and then you could have 3 different scenes. So this image, as you can see, is an AI-generated image of a curious adventurous frog. And then our 3 scenes are basically that frog finding treasure and jumping around in the forest. So we're gonna go ahead and run this. I will say I have sometimes had a 500 internal server error from Ki when I've been trying to do these storyboards, but we're gonna go ahead and give it a try. So I'll execute the workflow. It's gonna run our prompts through this request. It's gonna go ahead and do the polling feature. And I will also say when I've done storyboards in the past, it's taken anywhere from like 500 to 700 seconds rather than just like, you know, your typical 180 to 250. So this one may take a little bit longer, but I'll just check in with you guys and see if it worked or not. All right, so while this one's running, I thought it would be a good opportunity to just talk about prompting because this has taken 740 seconds and I've just been sitting here staring at it. And I'm getting bored. So let's talk about prompting a little bit. So there are people right now that are making a lot of money by going into like marketing departments and teaching them how to prompt Nanobanana, which is one of Google's image generation models and things like Sora 2 or Google V0.3. Because if you understand how to prompt these things and you can make high quality like UGC ads or VFX ads or scenes for movies and TV, whatever it is, there's a lot of money in that space. Because it costs so much money to get drones out there or have all the mics, and you have to make sure the weather's correct when you're doing all of this in real life. And so if you can just generate these scenes with good prompting, like I said, it's a really, really cool opportunity. So I'm not a prompting expert when it comes to these creative generation models, but what I do know is there are certain things that you want to have in your video prompts. So here is a very, very basic high-level prompt that I have for this AI agent. That's going to take our raw input, optimize it, and then shoot it off to Sora 2. So I'm sort of going to skim over this, but you guys will be able to access this for free when you download the free template. And so what I have here is, you are an expert AI video prompt engineer trained to design optimized prompts for Sora 2. Your role is to take a raw input concept and transform it into a highly detailed video prompt. So this agent needs to always describe the main subject, like appearance, clothing, age, gender, expression, and motion. The setting. So what's the location? What's in the background? What's the lighting like? What's the time of day? All this kind of stuff. The camera style. So the angle, the lens, the type of video, if there's any camera movement, all of that stuff really matters. The idea is that the prompt should sound like a professional cinematographer describing a shot to an actual, like, visual effects team. So anyways, this agent will take a raw input and transform it. So what I'm actually going to do is I'm going to stop this generation because we'll be able to check on that in our key dashboard right here. You can see this one is still running. And what I'm going to do is drag this down here and run this one. And so if you remember what we did earlier with our text-to-video prompts, which was up here, we had the one of the professor saying to its students that Sora 2 is available on key. We have that exact same system prompt. So this is the exact same raw input that we gave earlier. And now what we're having the agent do is take that raw input and make it better and optimize for Sora 2. So you can see now we get this huge input. We get a lively cinematic classroom shot as a sequence of natural documentary-style coverage that highlights a charismatic professor and the engaged students. We've got a wide shot, which is 24mm tripod dolly. We later have medium two-shot, which is 35mm gentle handheld. We've got different type of reaction cut-ins with 50mm. We've got the quote right here. We have lip sync. We have all of this kind of stuff. It even gives us the overall tone, directorial notes, all of this stuff. So now what's happening is that got sent off to Sora 2, as you can see, and it tells us that once again it's generating this message. And so I'll check in with you guys when this one has been completed and we'll compare it to that video that we had earlier. All right, so this one finished up. It was a bigger prompt, so it took a little longer. It took about 300 seconds. So first let's watch the original one that had no prompting, just the raw input.

And here's the exciting part. Sora 2 is now available on Kai AI, making it easier than ever to create stunning videos. You can experiment, iterate, and bring your wildest ideas to life.

Okay, nice. So that's still not bad, right? But look at this one because we had the best practices of prompting worked in.

Sora 2 is now available on Kai AI, making it easier than ever to create stunning videos.

All right, so I hope you could tell that the second one felt a lot more cinematic and there was different shots and there was like different scenes going on in there. So I just thought that that's pretty cool. And once again, the idea is all you have to do is give it the raw input and then the AI agent that you prompt to specialize in making it into a video prompt is going to take care of that for you. And so yes, it's nice that we have kind of like a high level, here are some good practices for prompting, but what you would do is when you have your specific use case, like let's say it's your UGC ads, on top of giving it just these basic rules, You would come in here and really tailor this towards specifically UGC content video prompting. And as you refine that prompt and make it better and better, your outputs are just gonna get better and better as well. So for example, and just to sort of hint at a future video that may be coming, you could have a Google Sheet like this where you have a product photo of your own product. You have just the ICP, you have the features of the product, and you have a video setting, and that's all you have to give it. And then your AI agents in N8N could take all of that. And make the optimized script, make the optimized video prompt, and then you're just getting all of these UGC content videos pumped out automatically because you could have 10 coming out a day, 10 coming out an hour, however many you want. Okay, so the storyboard video that we generated together live here, it took 35 minutes, but it did finish up. So let's go ahead and give it a quick watch. Okay, so that's pretty funny. You can see what it did though is it was able to use our image URL that we provided right here. So this is the character that we wanted it to be, and it was consistent throughout the 3 scenes. It would now just be a matter of making these prompts a little bit better because all of these prompts had you know, not really the elements that we discussed as far as lighting, background, camera movement, camera style, all that kind of stuff. But hopefully now you can just get a sense of how those storyboards work and how you can control the scenes and timing to create some consistent character videos. The final thing I want to talk about here is doing some data cleanup. So something that you guys didn't see that happened in this step up here was our AI agent output this prompt with new lines. So we had newlines. And then also down here you can see we had double quotation marks and both newlines and double quotes will break the JSON body request. So as a best practice, you can use these expressions, which I'll show you guys in a sec, in your request to Sora too. So in this body request, you can see I don't just have the output. Let me actually just delete this real quick. So this is the output of the agent and on the right-hand side is the result. So you can see there's newlines here, which would break this. And then also we have our, wherever they are, somewhere down here, right here we have the double quotes, Sora 2 is now available on Kiai. And so when we put in this little expression, it's basically replacing those newlines. As you can see, they got chopped off and I'm not gonna be able to find it again now, but the double quotes would've been removed as well. And that's how you make sure no matter what your AI agent outputs, because sometimes they'll throw in newlines and double quotes even if you prompt them not to. you can basically get rid of that no matter what. And so what I wanted to show real quick is if I run this setup down here, so you guys can kind of just isolate those variables and look at it. We have right here, we have new lines. So this is line 1, this is line 2, this is line 3. And then we have another text over here with double quotes that says pizza pizza. And if we run the second one, we have the replace function up here to get rid of new lines. And then we have the replace function here to get rid of the double quotes. And now you can see on the right-hand side, they're both coming out. Completely clean. So that's how those replace function works. And then you can basically just copy these and save them. So whenever you need to use that replace, you've got it right here. The last thing I wanted to talk about is errors when you're maybe getting a failure in your Sora2 video generations. So here are some failures that I got. You can see all of these have error code 500, which means there's something internally going on and that's why it errored. And by internally, I mean on the KeyAI or Sora2 on the server side of things. So this could mean that they're getting way too many requests and there's just an issue. It could mean that AWS blacked out and they're down or something like that. But it could also mean that your content is being restricted because maybe you put something in there that is automatically getting flagged and they're just basically rejecting you. So here's an example of a Sora2 Pro storyboard that I did, and you can see it got rejected. Internal error. I'm not exactly sure why. But then here's another Sora2 storyboard that I did and it was successful. And this one took Um, almost 7 minutes. So this was the high-level video of different ways that you can use Sora2. If you guys have some specific use cases that you'd want to see me build an automation for or certain agents for, then definitely let me know down below. I'd love to bring some more Sora2 and some VO 3.1 content for you guys, cuz I think this creative AI space is super cool. And once again, you guys can download this entire template and get all of this stuff so you can play around for completely free. All you have to do is join my free school community. The link for that is down in the description. When you join this free school community, all you have to do to find that is go to YouTube Resources or search for the title of this video. And in that post associated with the video, you'll find the JSON right here, and you just have to download that JSON, import it into your N8N, and then this exact workflow will pop up. There will also be a setup guide over here that shows you like what you need to connect and all that kind of stuff. And if you're looking to dive deeper with AI automations and connect with over 2,500 members who are learning every day and building businesses with AI every day, then definitely check out my Plus community. The link for that is also down in the description. Like I said, it's a super supportive community of members who are building businesses and sharing what they're learning. And we have 3 full courses. We have Agent Zero, which is the foundations of AI automation for beginners. We've got 10 Hours to 10 Seconds where you learn how to identify, design, and build time-saving automations. And then for our annual members, or if you've been with us for 6 months, we've got One Person AI Automation Agency where we start to talk about how you can actually get in front of business owners and start to sell these solutions. On top of that, we also have one live Q&A per week where I get to just basically talk to you guys and have some pretty fun discussions. So I'd love to see you guys in those calls. I would love to see you in these communities, but that's gonna do it for today. So if you enjoyed the video or you learned something new, please give it a like. It definitely helps me out a ton. And as always, I appreciate you guys making it to the end of the video. I'll see you on the next one. Thanks so much, everyone.