Seedance 2.0: Make 100 AI Ads in 33 mins

In this episode I sit down with my friend Sirio, one of the most creative AI minds I know, to break down Seedance V2. Sirio walks us through the exact use cases, prompts, and tactics he's using to build on top of this model inside his platform Enhancor, covering multi-input generation, virtual try-ons, ad translation, AI influencers with lip sync, video extension, and 3D product template replacement. I wanted this to go beyond the "look how cool this is" tutorials and focus on how creators and founders can actually build businesses, run ads, and produce creative assets with it. By the end, you'll have a practical playbook for Seedance V2 and a clear view of where it fits alongside other models like Kling 3, Veo, and fine-tuned options. Timestamp 00:00 – Intro 02:22 – Demo 1: Replacing Characters and Background in a Green Screen Scene 08:03 – Prompting Tactics and Optimize Prompts 09:45 – Demo 2: Virtual Try-On in Montreal (Minus 30 Degrees) 13:05 – Demo 3: Ad Translation and Character Replacement (Chinese to English) 16:02 – Demo 4: 3D Product Template with Brand Texture Swap 18:40 – Demo 5: Video Extension and Filling in the Middle 20:55 – Demo 6: AI Influencers and Prompting Realistic Emotion 29:31 – What Happens to Adobe Over the Next Five Years Key Points Seedance V2 is the first widely available video model to support true multi-input generation — up to two images, two videos, and an audio file combined in a single prompt. Treat Seedance V2 as a video editor, not just a generator: character swap, background swap, text preservation, ad translation, and template population all work from natural-language prompts. Seedance rewards highly specific prompts; I pair my own draft with Claude Opus 4.6 to optimize prompts for vision models. Strong source reference images remain the single biggest quality lever — the model mimics taste from what you feed it. For AI influencers and lip sync, describe muscle movements and emotional transitions rather than simply labeling an emotion like "sad" or "happy." Seedance V2 is the current default for editing and generating video, yet other models (Kling 3 for cinematic feel, Enhancer V4 for talking-head realism) still win on specific use cases. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND SIRIO ON SOCIAL Enhancor AI: https://www.enhancor.ai Instagram: https://www.instagram.com/heysirio/ Youtube: https://www.youtube.com/@SirioBerati

Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.

• 0:00Greg Isenberg?

  Yeah, so my friend, Siri, one of the world's greatest AI creative minds, just took me through C dance V2 and it blew my mind. It blew my mind because the people that are going to understand how to use this model, and this is the world's greatest AI creative model on the planet. They are going to be able to create AI influencers, faceless accounts, original movies, literally, ads that convert, ads in any language on the planet. This is the creative AI model we have all been waiting for. In this episode, Siri takes you through a bunch of these use cases, show you how to do it, the prompts, the tactics. Everything you need to know about C dance V2 is in this episode.

• 0:45Greg Isenberg?

  And if you stick to the end, you will be a weapon for how to use C dance V2, how to use AI video to make money, create content that gets you followers and more.

• 1:06Greg Isenberg?

  I've got one of my most creative friends on the podcast, Siri. Siri, by the end of this episode, what are people going to learn?

• 1:14Speaker 01

  Ooh, a lot of things. First, why are all these image models, video models and API providers so important to your business if you are starting some sort of AI app? Or if you're trying to solve for issues in the creative space with AI tools? We're going to talk about all the use cases. C dance two is here, so we're going to try and explore all the use cases and how we can build on top of C dance to solve particular issues and then productize around those workflows.

• 1:47Greg Isenberg?

  I love it. Yeah, there's tons of tutorials and videos about, okay, C dance two is here. Look how cool this is. But this is going to be a more practical guide to actually, okay, great. How can you build a business around these models? How can you make money from these models? How can you, you know, create creative assets that are going to transform your business? So that's my hope out of this episode. And Siri, if there's anyone who can deliver on this, it's you. So excited to get into it.

• 2:15Speaker 01

  Thank you for having me, Greg, and I hope I can do my best here.

• 2:20Speaker 01

  Alright. Okay, so C-Dense 2 officially launched today. You can access it anywhere in all of your favorite AI tools. And something very interesting about C-Dense is that it's probably the first AI model that allows for multi-input generation. So what does that mean? We usually, if you're never, or if you've used AI tools, you know that you can either use first or last frames, and you can generate videos based on those two inputs. But now with C-Dense 2, we're able to generate videos with multiple inputs. For example, we can add up to two images. We can add up to two videos.

• 3:05Speaker 01

  We can add an audio file. And then what C-Dense is going to do based on what we are prompting and what we're trying to achieve, it's going to combine all those inputs together and give us a final video. That's something very interesting here, because it allows us for way more control. And to show that, I'm gonna go into my demo page. Give me a second. So this is what it actually means, right? In here, we have a video, like a green screen video.

• 3:45Speaker 01

  So, and this is AI-generated, completely AI-generated with C-Dense, by the way. And let's suppose that I want to change, I'm a production studio, I'm creating this game, and I want to put some sort of a demo on my social media or a quick video on my landing page. And I want to replace these two people with two different characters. But at the same time, I want to replace the background. Traditionally, this would take very long time, but also it would cost a lot. And what we're doing here is that we're using the multi-input feature inside C-Dense. And we're gonna have our character 1, our character 2, and then we're gonna have our background image. And since this is again multi-input,

• 4:28Speaker 01

  we're gonna reference all these inputs into prompt by tagging them. We're gonna hit generate, and it's gonna take about 60 seconds for our video to generate here. And again, the purpose... Of multi-input, as I said, is to get very creative with our editing process. C-Dense 2, it's not only a video generator, it is a video editor. That's how I see it. It's almost like Nano Banana Pro whereby the use cases are unlimited. It's not, it's not just producing an image, an image through text, in this case, a video through text, or a video through an image, but you're combining multiple inputs to produce an output

• 5:10Speaker 01

  that's way more complex than traditional image-to-video models. You can do something very similar with Cling 3. But the quality of C-Dense 2, based on my testing so far, is unmatched. And we're going to see all the, the use cases and, and all the demo videos today. And I hope that you make the decision on your own. But let's, this is the video that it generated.

• 5:44Speaker 01

  So this is pretty crazy. Let me try and pull up the original video input that, uh, the green screen here.

• 5:58Speaker 01

  This one over here is what C-Dense generated.

• 6:05Speaker 01

  The motion control is crazy here.

• 6:08Greg Isenberg?

  Yeah.

• 6:08Speaker 01

  And it's simply from a, a prompt. You're literally telling it to control the motion, to keep the motion of the original video exactly the same. This is all natural language.

• 6:18Greg Isenberg?

  First of all, this just like exceeded my expectations.

• 6:23Greg Isenberg?

  I think this is beautiful. Two questions for you.

• 6:26Speaker 01

  Yeah.

• 6:26Greg Isenberg?

  One is, from a prompt perspective, did you just manually create that prompt? Or is that something that you used an LLM to optimize?

• 6:35Speaker 01

  You, you can definitely use an LLM to optimize. I think that Claude does a phenomenal job. And it's the best by far, especially the 4.6 version, Opus 4.6. I've used GPT before, but I do think that Claude does understand

• 6:54Speaker 01

  prompt engineering for vision models a bit better, at least in my experience, and I could be biased. But this is, uh... The more, something with C-Dense is that the more detail you give it, the better it does. Differently from other models where you can be simple and to the point. For example, Clink 3, if you're simple, straightforward, you're not using a lot of tokens or words in your prompt, then it might do a better job. What I'm figuring out with C-Dense is that you have to be highly specific if you want

• 7:34Speaker 01

  to get very high quality output, especially if you're doing something with, that relates to preserving character identity, that relates to preserving particular motions in the video or particular transitions throughout. So I think that both work. I like to start my prompt myself and then most of the time I will optimize it with Claude 4.6.

• 8:03Greg Isenberg?

  Cool. And before we go into the next use case, I think, I mean, you're a stylish guy, you know, and I think one of the reasons why. Yeah, you are, you know, you're wearing your hat as Los Angeles, you know, upside down. I feel like you always got good style. Every time I see you, you've got good style. A part of why this video crushed it was, yeah, C-Dense 2.0 did a good job, but also your reference images are really on point. How were you able to find those reference images and videos and any tips for people?

• 8:37Speaker 01

  Everything starts with a very good idea, a very good source reference, source image. What is your vision? You can describe your vision, but the second that these LLMs or these models see a source reference, they're able to understand your taste and they're able to mimic that reference image into something more concrete and more tangible for you. So always focus on having a great source image, source reference that matches your idea. It's like in any traditional art, I'm also a painter, I draw, I sculpt. And for me, In order to visualize my idea, I have to have something in front of me that I can see and I can be, hey, I'm inspired.

• 9:22Speaker 01

  I want to create something similar to this. And it's the same thing with LLMs. Think of them as, as, as humans. If they were to be like your, your, your assistants or like your, your friends, that's how they understand inputs. So give it a very good source, uh, reference of whatever you're trying to, to, to achieve. And then follow it with a very specific prompt.

• 9:45Greg Isenberg?

  All right. Should we, should we keep going?

• 9:47Speaker 01

  Yes. Okay. I'm going to showcase a video that I did myself. This is a virtual try on video. Uh, I recorded myself out there in Canada, in Montreal. It was like minus 30 degrees. I was wearing shorts and I was like, oh, I wonder whether AI can put me into this outfit. So now I want AI to replace me to actually put me, put on, uh, this outfit and have a bear walk by.

• 10:16Greg Isenberg?

  And this would be, you know, helpful if maybe you're doing like, what, like an ad?

• 10:21Speaker 01

  Yes. If you want to replace, let's say that you have an actor. You're, you did an e-comm shoot and, um, you want to have the exact same motion of the model. And you just want to replace the clothes, the clothes that they're wearing because you're creating this very cool transition. Or just because you want a very clean, uh, style throughout, um, your, your, um, ecommerce assets. So let's see what it came up with. It is minus 30 and I'm wondering whether AI can help me put on this outfit.

• 10:51Speaker 01

  Okay. How about have a bear walk by?

• 10:56Speaker 01

  Look at, look at the details. Like, look at like how, when the bear walks by and then you have all the, um, footprint.

• 11:03Greg Isenberg?

  Can you stop it for a sec?

• 11:04Speaker 01

  Yeah.

• 11:05Greg Isenberg?

  I, I cannot tell that your outfit is AI. Like honestly.

• 11:10Speaker 01

  Not, not only that, but what I'm very impressed with is that my face is the same. If I saw this video myself, like I know how to, how to. I'm very familiar with all the AI models. Open source, closed source, everything. And I can tell you which video is what. I can tell you if it's generated with Glink. I can tell if it's generated with Glink. If it's generated with C dense 1.5, with WAN. But when I saw this video myself, I'm like, it looks like me. There's no distortion in the face, which is crazy. And yes, the outfit too, like it was able to match the exact. Look at the boots, like, look, look at the pattern of the

• 11:53Speaker 01

  of the pans over here. So if you go into our source reference. So if you go into our source reference over here.

• 12:03Greg Isenberg?

  Yep.

• 12:04Speaker 01

  You see how it has like all these, like this specific pattern. This cut that's like dark.

• 12:12Greg Isenberg?

  Yep.

• 12:13Speaker 01

  If you go into our video, it's here.

• 12:16Greg Isenberg?

  Yep.

• 12:16Speaker 01

  It's crazy. Okay, how about have a bear walk by? Look at like the footprint, it's looking at the bear. It's tracking the bear with, with, with, with the eyes and the head like so. It understands the input very well. And mind you, the input here was very simple. Like I didn't go into any details. I could have been way more specific. I could have actually described my outfit so that the outfit could have been more accurate.

• 12:45Speaker 01

  So it's phenomenal. And again, it doesn't take more than 60 seconds.

• 12:49Greg Isenberg?

  And this tool that we're in, Enhancer, you're the founder of this, right?

• 12:54Speaker 01

  Yes, sir. I'm the founder of this.

• 12:56Greg Isenberg?

  So this, you can use Enhancer, not just with C dense 2.0, right? You can use other.

• 13:03Speaker 01

  Yeah, you can use it with, with. Yeah, you can use it with any model. Another cool use case is translating for everyone that wants to build a translation app.

• 13:16Speaker 01

  That's gonna take 30 seconds to translate. Or not only that, but also replacing the character in the frame. Take a look at this one. So we have this original video in Chinese. She's showcasing the glasses.

• 13:32Speaker 02

  衔脸小孩百搭

• 13:34Speaker 01

  But now, your company operates in the United States. And you want to showcase the same glasses, you want to have the same asset, you want to have her move exactly the same because you're A/B testing the ads and you want everything to look exactly the same, but you want the language to be different and also the model to be different because you're targeting different demographics. So here's our reference model. This is a model that we generated previously. And now we want this model to replace the woman. But also, we want her to speak in English. And this is the prompt that we're using. You can stop and screenshot this.

• 14:08Speaker 01

  Go and use these assets. We're inside video editor. We're gonna hit generate. Again, you can take your time to read the prompt. And what it's gonna do is that it will replace the woman in the first video with our source image. And it's gonna translate everything she's saying in Chinese from Chinese to English in a matter of seconds. So let's see how it does.

• 14:33Greg Isenberg?

  Yeah, this is really interesting also, just like creating ads and just creating content in like 100 languages, right?

• 14:41Speaker 01

  Yeah, it's A/B testing at its finest.

• 14:44Greg Isenberg?

  Yeah. And getting higher conversion rates, just getting cheaper ads because of that.

• 14:50Speaker 01

  Optimizing, optimizing, optimizing.

• 14:53Greg Isenberg?

  Yeah. Alright.

• 14:54Speaker 01

  There it is. So what do you think she said?

• 15:00Greg Isenberg?

  She said, "I love you, Cero. Here are my new glasses."

• 15:04Speaker 01

  Let's see, we translated the original video from Chinese Mandarin.

• 15:13Speaker 02

  This one's amazing.

• 15:17Speaker 02

  It's flattering and versatile. Must have.

• 15:20Speaker 01

  So you see the wink?

• 15:23Speaker 01

  Let me go back into the reference video.

• 15:26Greg Isenberg?

  It feels like she's selling the glasses that I'm wearing back to me. And I want, it's so good. She's doing such a good job selling it. I want another pair. That's how good of a job this is doing.

• 15:37Speaker 01

  Look at the wink. Look at the way that she puts her hand on her glasses. It's the exact same motion.

• 15:44Speaker 02

  This one's amazing.

• 15:46Speaker 01

  Look at the blur in the camera, like the focus, the motion, the motion, the focus.

• 15:52Speaker 02

  This one's amazing.

• 15:55Speaker 02

  It's flattering and versatile. Must have.

• 16:00Greg Isenberg?

  Right. Nailed it.

• 16:03Speaker 01

  This one is very interesting. Look at this video. What we're gonna do here.

• 16:10Speaker 01

  This is an ad.

• 16:13Speaker 01

  Now, we have a package, right? And this is like traditional, just like 3D render. There's no branding in the package.

• 16:21Speaker 01

  This is meant for like evergreen.

• 16:26Speaker 01

  Okay. Like a template. You can buy these templates.

• 16:31Speaker 01

  What if we actually replace that package with this image? So what we're doing right now, again, here's a prompt. You can screenshot this. We're replacing only the package and keeping everything the same. Generate. And you can find any 3D asset out there. You can start applying texture to all these 3D assets by combining the source reference with image references and just literally telling it to, hey, make sure that you put the texture from image number one into the 3D render video in image number, in video number two. We could do this with Nano Banana in images. And now we're doing this with C-Dance 2 in videos, which is quite insane.

• 17:15Greg Isenberg?

  So that template, was that, was that found on some, like a stock video website?

• 17:20Speaker 01

  That was entirely generated, but you can go into Freepic, for example. I think that they have a bunch of templates like that. Not quite sure if it's a video template that they have. But you can take an image that is an image template, you can turn it into a video and then you can put everything together and then you can create this templated video and then you can replace the templates with your source references. Let's take a look at this.

• 17:51Speaker 01

  Didn't do any, did it?

• 17:54Speaker 01

  There you go.

• 18:00Speaker 01

  The logo is completely consistent and understood like the background that it had to be yellow, kept everything the same.

• 18:09Greg Isenberg?

  Is C102 the best video model to ever exist?

• 18:13Speaker 01

  For now, yes.

• 18:14Greg Isenberg?

  Yeah.

• 18:14Speaker 01

  Waiting for Google 4, no, V, yeah, it's V4. But by far, it is the best out there in terms of realism, in terms of motion, in terms of quality.

• 18:28Speaker 01

  They, it's only up to 720p for now. And when they release their 1080p version, it's going to be a game changer for anyone that's creating digital assets.

• 18:40Greg Isenberg?

  Cool. Do we have time for a couple more?

• 18:42Speaker 01

  Yeah, we do. So I want to show you two other use cases that are very interesting that everyone would love. The first one is extending videos. You have a three second video, you have a 10 second video and you want to extend it to 15 more seconds while keeping everything the same. We could not do this before. Now, Google VO 3.1 kind of tried, but look at this.

• 19:14Speaker 01

  We have our three second video here.

• 19:20Speaker 01

  And we don't know what's happening next. We can recreate this entire scene.

• 19:26Speaker 01

  Here is the prompt, you can screenshot it, you can take a look at it. And then again, we're using our video extender feature and generate. And what it's going to do is that it's going to continue the, the actual storyline based on what we said in the prompt while keeping everything consistent. This is use case number one of video extension. And there's a different use case for a video extension that would actually fill in the middle of the video. This is extending the last bit of the video. And there's a use case that I'm going to show, show, show you and after we explore this one where it's going to fill in the gap. So we have two videos and it's going to figure out what goes in the middle, which is insane to me.

• 20:08Greg Isenberg?

  Yeah, I mean, if this could do this, this is this is big. Because this is this has been a pain point for me personally with playing with some of these models.

• 20:16Speaker 01

  Like ads, yeah.

• 20:17Greg Isenberg?

  Yeah, exactly with ads, literally ads.

• 20:20Speaker 01

  Or just traditional filmmaking doesn't have to be ads like there's something that you just you want to have at least three more seconds of that video. You know, do that. Let's take a look at this. So it extended the video from the point where we where the video cut, right?

• 20:43Speaker 01

  Have a complete, you have a different scene. And it's the exact same last frame. This is use case number one of extending your videos. There's a bunch of others, but there's one last thing I want to show.

• 21:01Speaker 01

  Which is

• 21:04Speaker 01

  AI influencers in lip syncing. This is the best model for you to generate AI influencers. And they can do anything you want them to do. Again, as I said, you can screenshot this prompt over here. The prompt is highly specific. This is a source image generated with Nano Banana Pro.

• 21:27Speaker 01

  You're going to go and use the asset. And the way that the influencers or avatars lip sync. It's simply you prompted to say particular things in the prompt to go and say, hey, she is saying. And then you go and go and say, give me a second. Or she's saying, this is what I mean in, what do you call these?

• 21:51Greg Isenberg?

  Quotation.

• 21:52Speaker 01

  In quotation, yeah, in quotation marks. So everything inside quotation marks is what the model or the avatar will say. Very simple, natural language. You just tell it what you want it to do. And it's going to understand exactly.

• 22:10Speaker 01

  Now, of course, there's ways to prompt things so they look and feel more realistic, especially emotions. How to control emotions, how to prompt emotions. You do not prompt emotions by saying, hey, the character is sad or the character is happy. You have to describe the muscle movements.

• 22:28Speaker 01

  Right? Because just saying character is sad, okay, there's not a lot of control, like sad how? There's thousands of ways for someone to be sad. But by describing the muscle movements, by describing the transition in emotion, transition in tone, in body language, it's able to achieve more realistic results. So this is what we're going to see here. That's why this is a very long prompt, because I'm being very specific with what they're saying. Because the aim for this video is so it doesn't look AI.

• 23:02Speaker 03

  Okay, yeah. Give me a second. This is what I mean. The way I breathe, the way I talk, right after moving.

• 23:13Speaker 03

  It's all generated inside Enhancer.

• 23:16Speaker 01

  It's crazy. There's, let me show you another one.

• 23:18Greg Isenberg?

  I have goosebumps on that one. Like that, that looked real.

• 23:23Speaker 01

  No, let me show you another one right here. So this is our sort of reference to say that we want to generate ads. Right? And we have our product. And our product has some sort of text. And again, one of the main flows for other video generators is that the text was usually wrapping or was changing as the video was generating, right?

• 23:45Speaker 01

  Then we have our prompt over here again. We're very specific with our prompt with what they're saying, how they're saying it, how we're structuring the prompt. We're going to hit generate. And then we're going to have her talk about this product that she never tried. Because this AI model does not have thoughts or does not have taste. She doesn't exist. And the product was never sent to her. That's the beauty of AI models, because you can create a version of yourself if you want, or you can create a completely different IP. And the brand does not have to send you the actual clothes that would cost them a few bucks to actually ship them to you. And now, multiply that by like thousands of AI influencers. It becomes like very costly now.

• 24:27Speaker 01

  The brand can just be like, hey, can you just place this inside your image with Nano Banana Pro? It's going to keep it very consistent. Can you just generate it with C-Dense 2? Or maybe we can do it for you if you want. And there you go, like unlimited content, very cheap. There he goes.

• 24:43Speaker 03

  Okay, quick taste test.

• 24:49Speaker 04

  Huh. Wait, that's actually nice. It's not super sweet. It's really clean. I wasn't expecting that. Yeah, I drink this.

• 24:58Speaker 01

  Look at, look at the text. Like, the text is quite on, like, spot on. It's not changing.

• 25:03Greg Isenberg?

  Insane. All right, Cereal. This, Seedance V2, this feels like the best creative model to ever exist. With it being so good, just walk us through quickly how to think about, like, think, you know, why would we use any other model? Are there any benefits using another model? Or as of recording this, should we just make this the default?

• 25:25Speaker 01

  I think that at some point, uh, what will happen is the same thing that it did with Nano Banana, where it became, became the best AI editing, image editing model. Seedance, to me, seems like it's the best by far. However, and, and the reason why it's the best by far is because you can practically, you can animate UX UI, you can animate like logos, you can place logos within a video, you can do so many things that other models are not capable of, and you can generate, like, very good lip syncing. Now, of course, some others are very good at other things, maybe emotion control. Clang 3 does a very good job at that.

• 26:07Speaker 01

  And there's other models who are fine tuned so that the images look way more, um, low fidelity, like more, more realistic, or it doesn't look like they have like the cinematic feel. Clang 3 has cinematic feel, you know, you, when you, when you look at the video, you know that it's very good at producing cinematic videos. I'll show you an example of another video model that we fine tuned inside Enhancer. It's called Enhancer V4. And what this model does, uh, again, it's, does, it's not the highest fidelity, like, video model. It does not produce like this crazy transitions. It just might not keep the character extremely consistent. It might not have multi-input references, but it produces.

• 26:51Speaker 04

  Hi guys, this is crazy. Like, I am not even real.

• 26:54Speaker 01

  Right. Seedance probably cannot do the same thing because it has different type of, um, color schemes that, that it produces, kind of different depth, different ways that it treats the background, different ways that it treats the subjects. And this is a different video, a model that is fine tuned particularly for this exact use case.

• 27:14Speaker 04

  For best talking head video generator.

• 27:16Speaker 01

  So I would not say that C dense to will replace everything that's out there. Because it really depends on what you're trying to achieve with the model and how you are using the model. But I think it's gonna be for now, the default model to generate and edit videos, especially editing videos. Maybe not video generator, but it's phenomenal and will be the the state of the art video editor out there for any use case, really.

• 27:49Greg Isenberg?

  What's the best video generator?

• 27:51Speaker 01

  Well, I mean, for now, seems to be C dense.

• 27:55Greg Isenberg?

  Right?

• 27:57Speaker 01

  Seems to be C dense, but.

• 28:00Greg Isenberg?

  It sounds like what you're saying is like the daily driver is going to be C dense. Generation and editing, however, there are some use cases that certain models have a different look, visual look like you were saying enhancer V before. Where it's like, yeah, you know, I, I, if I'm trying to go for that look, I might just, you know, use that for like a specific use case.

• 28:25Speaker 01

  And also it depends on what the, again, what the user is used to. There's things that the user really likes, or the creative in this, in this case, really likes a particular model and they just want to stick with it because it's good enough for what they're doing. And maybe it's cheap, right? Maybe it's faster. Uh, maybe they're just producing low fidelity video for, for social media and they don't want to spend like $3 on a five second video like Google V O three. Um, or at least view back, back in the days when it was about a three video per, per, uh, what is it? Five or eight second clip.

• 28:59Speaker 01

  And again, you, people that are using generative tools are not using them just for fun. They are normally using them or monetizing through them like they either have some sort of a business. Maybe they're a service provider, maybe they're creative.

• 29:16Speaker 01

  Or maybe they're building their, their own app. It's not that they're coming to these platforms and spending all the money without making something back. So of course price matters and depending on the, the use case, uh, then some models become, uh, uh, more relevant than others.

• 29:31Greg Isenberg?

  Last question before we head out. Adobe is a $106 billion company, not asking for financial advice, but what do you think happens to Adobe? I mean, they were the leaders in the in the creative suite, right? They they were the they were the go to for everything for for 20 years, more. You know, is is Adobe, what happens to Adobe over the next five years? That your best guess?

• 29:58Speaker 01

  Oh, probably Adobe might require these AI generated tools. I think would be a smart move if they do all enhancer competitors, not going to mention them. Maybe they're requiring acquire enhancer, I don't know. But I believe I still believe that Adobe is relevant, especially for creative professionals who want way more control, who actually want to edit or cut that frame, who actually want to produce like high fidelity videos that are 8K and and who who again are more to them than simply a creative director that just starting out with AI tools.

• 30:43Speaker 01

  I think that every time I produce something with AI, I still have to edit it. It will not produce the perfect output for me. Like they're still they're still like is it is this the post production phase that that happens? And I believe it will always exist. And it will there's always going to be a need for this. Like there's a need for for digital photography, right? Because I believe that in the future, most photography is going to be prompted unless there's an event. And there's also a need for Polaroids, and there's also a need for for for film photography,

• 31:23Speaker 01

  because those things are way more technical. And while I think that AI or technology advances, still creatives need to have full control of their outputs and I think that Adobe, what they do best is...

• 31:39Greg Isenberg?

  Yeah, I mean, basically what you're saying is like Adobe is like the place for creative professionals.

• 31:43Speaker 01

  Yeah.

• 31:44Greg Isenberg?

  And these tools, V O three, C dense to things like, you know, these, these models.

• 31:52Speaker 01

  That's just the first step, right? There's, it's simply the first step. And there's, I believe that there's always going to be a need for like, um, there's always going to be a need for post-editing. And Adobe is the app where you do the post-editing. It's, it's not the, the, the app where you initially create. Cause we create videos every single day with our phones and then we go to Adobe. So we could generate videos every single days with our laptops and phones and then we go to Adobe. Even, even though Adobe now is trying to be the place where you create and also edit and also post-produce,

• 32:30Speaker 01

  which is a smart move, uh, however, would be ideal if, for me, if they focus on things that actual pro creatives really need and want, which is not necessarily generate the content in Adobe, but is how to use Adobe tools to have an agentic, um, like feature where it just edits for you. Like focus more on the post-producing than the actual production.

• 32:57Greg Isenberg?

  Totally. Makes sense to me, Ciro. Thank you so much for coming on the show. I'm going to include links where you can follow, uh, Ciro on, on social and links to Enhancer. And dude, thank you so much for showing us all these different use cases. This was really cool.

• 33:14Speaker 01

  Thank you, Greg. Appreciate it.

• 33:16Greg Isenberg?

  Appreciate you.