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"SPACE BASTARDS" - Episode 1: The Takeoff When your spacecraft decides physics are optional and your co-pilot is a drama queen. Fan-Made Series. Non-commercial fan film. (Predator character © 20th Century Studios - used under fair use for parody/homage) Grok imagine Kling AI Google Gemini Suno Nano Banana Pro... show more

Raven Morgoth

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33,434 views • 6 months ago •via X (Twitter)

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I automated "stealing" viral TikToks. nano banana pro + kling + n8n analyzes any viral video, extracts exactly why it works, then generates your version with your look here's the stack: - Adrian | The Web Scraping Guy gets the tiktok video + transcript - Google Gemini () watches the video and breaks down the psychology (hooks, pacing, motion, emotional arc) creates a "character bible" for visual consistency - Nano Banana 2 Lite generates the starting frames - Kling AI animates each 10-second segment (or veo) FFmpeg stitches it into one vertical video - uploads to Google Drive, logs everything input: 1 viral TikTok URL output: branded alternative in 10 min for ~$2 the viral formula stays. the content becomes yours. this is how you test 10x more concepts without 10x more creators want the complete 5-workflow automation? comment VIRAL + follow (following required for DM)

I automated "stealing" viral TikToks. nano banana pro + kling + n8n analyzes any viral video, extracts exactly why it works, then generates your version with your look here's the stack: - Adrian | The Web Scraping Guy gets the tiktok video + transcript - Google Gemini () watches the video and breaks down the psychology (hooks, pacing, motion, emotional arc) creates a "character bible" for visual consistency - Nano Banana 2 Lite generates the starting frames - Kling AI animates each 10-second segment (or veo) FFmpeg stitches it into one vertical video - uploads to Google Drive, logs everything input: 1 viral TikTok URL output: branded alternative in 10 min for ~$2 the viral formula stays. the content becomes yours. this is how you test 10x more concepts without 10x more creators want the complete 5-workflow automation? comment VIRAL + follow (following required for DM)

Matthew Berman

27,202 views • 7 months ago

BUZZ 🐝 A short sequence created using Nano Banana Pro and Grok imagine. I wanted to test Groks capabilities for action in motion. With Buzz leading the way, Tiny Timmy is having the absolute time of his life exploring the wondrous Flower Kingdom🌼 Tools for creation: - Nano Banana Pro was used to generate the base image and the additional camera angles. I wanted to personally see if I could just use 3 images so no 2x2 grid extraction technique for this but I did want to include each frame used so you can see how the sequence was combined. Grok Imagine was used for every sequence to bring it to life using image to video. - I did some post work in Capcut by adding some subtle bloom, radial motion blur and film grain as well. - I added additional sound effects by generating them using Elevenlabs and layering them (bee buzzing, flapping wings, wind and leaves rustling etc). The kids laughter was generated using Grok. The soundtrack was sourced from Artlist. It was fun testing this and putting it together just to see what Grok is capable of generating.

BUZZ 🐝 A short sequence created using Nano Banana Pro and Grok imagine. I wanted to test Groks capabilities for action in motion. With Buzz leading the way, Tiny Timmy is having the absolute time of his life exploring the wondrous Flower Kingdom🌼 Tools for creation: - Nano Banana Pro was used to generate the base image and the additional camera angles. I wanted to personally see if I could just use 3 images so no 2x2 grid extraction technique for this but I did want to include each frame used so you can see how the sequence was combined. Grok Imagine was used for every sequence to bring it to life using image to video. - I did some post work in Capcut by adding some subtle bloom, radial motion blur and film grain as well. - I added additional sound effects by generating them using Elevenlabs and layering them (bee buzzing, flapping wings, wind and leaves rustling etc). The kids laughter was generated using Grok. The soundtrack was sourced from Artlist. It was fun testing this and putting it together just to see what Grok is capable of generating.

Travis Davids

14,990 views • 5 months ago

Cinematic city transitions. Perfect cuts. Zero traditional video editing. Everything you’re watching is AI. Tools: - Kling 2.5 Turbo - Nano Banana Pro - ChatGPT 4 STEP TUTORIAL: 1️⃣: Design your concept Brainstorm with ChatGPT the type of “vibe” you want your images/video to capture. I landed on “Cinematic Urban Melancholy” for my overall Visual Theme. 2️⃣: Generate Images with Nano Banana 🍌 Use ChatGPT to generate nano-banana-ready prompts for each of the 5 images in your setting. 3️⃣: Generate AI Transitions Navigate to Kling and select AI Video Generator Upload your start frame (image 1) + end frame (image 2) Prompt for a “seamless cinematic transition between scenes”. You’ll need to iterate on your prompt until the result matches your vision. Be specific about motion, style, and mood. 4️⃣: Polish Import everything into your editor (I use CapCut). Add speed / slowdown. And most importantly, add sound design. Music and SFX sell the visuals. Bookmark this and try it out yourself! If you want the exact prompts I'm using to generate these transitions: Follow, RT, & comment 'PROMPTS' below. I'll dm them to you (must be following so i can message)

Cinematic city transitions. Perfect cuts. Zero traditional video editing. Everything you’re watching is AI. Tools: - Kling 2.5 Turbo - Nano Banana Pro - ChatGPT 4 STEP TUTORIAL: 1️⃣: Design your concept Brainstorm with ChatGPT the type of “vibe” you want your images/video to capture. I landed on “Cinematic Urban Melancholy” for my overall Visual Theme. 2️⃣: Generate Images with Nano Banana 🍌 Use ChatGPT to generate nano-banana-ready prompts for each of the 5 images in your setting. 3️⃣: Generate AI Transitions Navigate to Kling and select AI Video Generator Upload your start frame (image 1) + end frame (image 2) Prompt for a “seamless cinematic transition between scenes”. You’ll need to iterate on your prompt until the result matches your vision. Be specific about motion, style, and mood. 4️⃣: Polish Import everything into your editor (I use CapCut). Add speed / slowdown. And most importantly, add sound design. Music and SFX sell the visuals. Bookmark this and try it out yourself! If you want the exact prompts I'm using to generate these transitions: Follow, RT, & comment 'PROMPTS' below. I'll dm them to you (must be following so i can message)

David Roberts

230,341 views • 6 months ago

Okay, this one is the Grok Imagine version. But here’s something you need to note: I uploaded the character sheet I made with Nano Banana Pro as the base image. So it feels like this fake “Omni reference” kind of style, but it works 😄 Somehow, it’s much more consistent than uploading a still image of your scene with your character, because there’s a chance your character will morph a bit. By using your character sheet as the base model, it helps maintain consistency. The only problem is that when you do the img2vid prompt, you need to retell the setting, the action, the vibe and so on. But for me, I kind of like that approach, LOL 😆 Like I said, I’m getting lazy about animating images one by one. With this approach, I can just focus on dividing the shots, like shot 1: blabla, shot 2: bliblibli, shot 3: blublu, etc. Now for the comparison: In comparison with the Kling 3.0 Omni version, I feel that Grok Imagine is much more dynamic. But in terms of the character performance, it feels a bit over the top. It’s like the AI characters are acting it out 😁 Meanwhile, Kling 3.0 Omni feels much more realistic in terms of the acting and a bit more atmospheric. I honestly love both. If I want to fool around, I guess I’ll use Grok Imagine. But if I want more subtle realism and a candid feel, I’ll go with Kling 3.0.

Okay, this one is the Grok Imagine version. But here’s something you need to note: I uploaded the character sheet I made with Nano Banana Pro as the base image. So it feels like this fake “Omni reference” kind of style, but it works 😄 Somehow, it’s much more consistent than uploading a still image of your scene with your character, because there’s a chance your character will morph a bit. By using your character sheet as the base model, it helps maintain consistency. The only problem is that when you do the img2vid prompt, you need to retell the setting, the action, the vibe and so on. But for me, I kind of like that approach, LOL 😆 Like I said, I’m getting lazy about animating images one by one. With this approach, I can just focus on dividing the shots, like shot 1: blabla, shot 2: bliblibli, shot 3: blublu, etc. Now for the comparison: In comparison with the Kling 3.0 Omni version, I feel that Grok Imagine is much more dynamic. But in terms of the character performance, it feels a bit over the top. It’s like the AI characters are acting it out 😁 Meanwhile, Kling 3.0 Omni feels much more realistic in terms of the acting and a bit more atmospheric. I honestly love both. If I want to fool around, I guess I’ll use Grok Imagine. But if I want more subtle realism and a candid feel, I’ll go with Kling 3.0.

DAN · MXVDXN

16,764 views • 4 months ago

BARRY 🍯 - Meet Barry, a bear hopelessly addicted to store bought honey. Once content with wild beehives, his taste buds now crave the processed sweetness from supermarket shelves. To get his fix, he repeatedly robs convenience stores. Arrested time and again, he somehow keeps getting released, only to strike again. Miraculously, the charges never stick. I guess being a bear has its perks. My end goal here was to use Kling 3.0 for the entire cinematic sequence, including lipsyncing and dialogue to see how it holds up. The video model has improved a great deal and this was a lot of fun to put together. Enjoy! I love telling all sorts of stories, even silly ones like this. P.S I'm starring in my own short film, I'm the one who is in prison with the bear. Tools For Creation: Image Generation: Nano Banana Pro Image To Video: Kling AI 3.0 Lipsync And Dialogue: Kling 3.0 Music: Elevenlabs & Suno Sound Effects: Artlist Video Editing: Capcut

BARRY 🍯 - Meet Barry, a bear hopelessly addicted to store bought honey. Once content with wild beehives, his taste buds now crave the processed sweetness from supermarket shelves. To get his fix, he repeatedly robs convenience stores. Arrested time and again, he somehow keeps getting released, only to strike again. Miraculously, the charges never stick. I guess being a bear has its perks. My end goal here was to use Kling 3.0 for the entire cinematic sequence, including lipsyncing and dialogue to see how it holds up. The video model has improved a great deal and this was a lot of fun to put together. Enjoy! I love telling all sorts of stories, even silly ones like this. P.S I'm starring in my own short film, I'm the one who is in prison with the bear. Tools For Creation: Image Generation: Nano Banana Pro Image To Video: Kling AI 3.0 Lipsync And Dialogue: Kling 3.0 Music: Elevenlabs & Suno Sound Effects: Artlist Video Editing: Capcut

Travis Davids

11,125 views • 5 months ago

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Traditional media is DEAD. They just don't know it yet.. Everything you see in this Ad was 100% created with AI. Yes, really.. And it only took me about an hour. - the storyboard (Nano Banana) - the music (Suno) - the animations (Kling) - the voiceover (Elevenlabs) Creative teams are now able to move at the speed of thought. The problem is a lot of the tools are still fragmented. But there's something magical that happens when you piece everything together. I tried every tool out there under the sun that claims to be a full stack studio but they all felt short. Had to build my own (screenshot in comments); If I can do this in under an hour imagine what entire creative and media teams can do. And now that I have your attention: - If you want $2000 off your SOC 2 before end of year, just reach out and mention you saw this video.

Claudio Fuentes

11,644 views • 7 months ago

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Demystifying Gay Porn

22,941 views • 1 year ago

We're giving away the prompt we used to make this AI UGC video. Getting Sora 2 to output hyper-realistic, consistent footage isn't just about the tool. The prompt has to be structured in a very specific way... character description, cinematography, camera motion, lighting, dialogue, audio, authenticity keywords. Get it wrong and the footage looks off. Get it right and everything downstream becomes easier. We’re sharing the exact Claude template we use as step one of our AI UGC workflow. It takes a basic brief (who the subject is, where they are, what they're saying, what device it should look like, their accent) and structures all of that into the exact format Sora 2 needs automatically. It sits at the start of a full workflow that runs through Sora 2 for the hook, ElevenLabs for voice cloning, ChatGPT for subject consistency, Nano Banana for B-roll generation and Kling for animation. The whole thing is broken down in the latest D2C Diaries episode. But this prompt is the foundation. Without it, the rest of the workflow is harder than it needs to be. If you're building in this space or testing AI UGC for your brand, this is worth having. Retweet this post and comment PROMPT and I’ll send it over.

Joe Marston | Ecom Growth

17,452 views • 4 months ago

Two weeks in Japan. Hundreds of photos. One creative rabbit hole I couldn’t resist going down. Last year, I created a song as an experiment. I wanted to blend Japanese and English lyrics and see what kind of mood it would create. It turned into something atmospheric and different from anything I’d done before. Then my wife and I spent two incredible weeks in Japan late last year, and the experience stuck with me. Seeing the temples, shrines, and local shops while my wife and I wandered around Kyoto left a lasting impression. When I got back, I realized that the song needed a visual story. So I decided to build a full music video around it. I started by fleshing out the concept and writing a shot list like a real production. Then the fun began. What’s interesting is that many of the locations you see in the video actually started as photos I took while my wife and I wandered around Kyoto. Those images became the foundation for the environments that were later generated and brought to life with AI. It was a fascinating, creative process. Part music creation, part photography, part storytelling, and part AI experimentation. Tools used in the process: Nano Banana Pro (Google Flow) – for image generation Midjourney (Midjourney) – for additional image creation Google VEO3 (Google Flow) – for video generation Kling 3.0 (Kling AI) – for video generation Final Cut Pro (Apple) – for editing SUNO (Suno) – for song generation Amazing how far the creative toolset has come. If you have an idea in your head, you can now actually build it! Take a minute to watch Rain + Light (雨と光) and tell me what stood out to you. Would love to hear your feedback.

Two weeks in Japan. Hundreds of photos. One creative rabbit hole I couldn’t resist going down. Last year, I created a song as an experiment. I wanted to blend Japanese and English lyrics and see what kind of mood it would create. It turned into something atmospheric and different from anything I’d done before. Then my wife and I spent two incredible weeks in Japan late last year, and the experience stuck with me. Seeing the temples, shrines, and local shops while my wife and I wandered around Kyoto left a lasting impression. When I got back, I realized that the song needed a visual story. So I decided to build a full music video around it. I started by fleshing out the concept and writing a shot list like a real production. Then the fun began. What’s interesting is that many of the locations you see in the video actually started as photos I took while my wife and I wandered around Kyoto. Those images became the foundation for the environments that were later generated and brought to life with AI. It was a fascinating, creative process. Part music creation, part photography, part storytelling, and part AI experimentation. Tools used in the process: Nano Banana Pro (Google Flow) – for image generation Midjourney (Midjourney) – for additional image creation Google VEO3 (Google Flow) – for video generation Kling 3.0 (Kling AI) – for video generation Final Cut Pro (Apple) – for editing SUNO (Suno) – for song generation Amazing how far the creative toolset has come. If you have an idea in your head, you can now actually build it! Take a minute to watch Rain + Light (雨と光) and tell me what stood out to you. Would love to hear your feedback.

Chip – onthechain.io

13,009 views • 4 months ago

so, you’ve vibe coded your startup but you’ve got 0 customers (okay maybe even a few) this 49 min video is your fix cody dropped a full paid ads tutorial for bootstrapped founders (google/meta ads, perplexity, heygen, elevenlabs) on The Startup Ideas Podcast (SIP) 🧃: 1/ start transactional → don’t waste year 1 on SEO. get signups tomorrow. 2/ niches > volume → 100 searches/mo can pay your rent for a decade. 3/ google ads setup → phrase match, intent-aligned landing pages, proper tracking. 4/ the ATM analogy → put in $1, get $4 out. that’s ads done right. 5/ conversion funnel secrets → clicks → signups → payments (don’t skip stages). 6/ meta ads strategy → AI avatar videos, valley girl voices in the pro tip, 40+ variations/month, nano banana for images, heygen for videos etc cody paid his rent for ten years off an app targeting a keyword with only 100 searches a month. the perfect ad formula → pain → vision → your product as the bridge. if you’re a founder, you’ll walk away from this episode knowing exactly how to do that people charge $5-10k for tutorials like this enjoy it free and go get some customers i believe in you

GREG ISENBERG

170,165 views • 10 months ago

I challenged myself to create a commercial type video based on my country of birth. I am proud of the final product and wish to share it with you all, specially with the fantastic AI community here in X that has given me so much support. Maybe this way you can see a little bit of my surroundings and habitat and know a little bit more about me. This video was created 100% with artificial intelligence. A process that, in a traditional production, would have taken months of work and a full professional team, costing tens of thousands of dollars. I made it alone, in two weeks, without leaving my office. By combining creativity, patience, and a series of cutting-edge tools, I generated between 500–700 images, 200–250 videos, and 20 songs. All of it was curated, edited, and finally unified into one piece. Tools used: 🎨 Midjourney / Nano Banana – image and visual concept generation. 🎥Grok / Veo / Midjourney – video and scene creation. 💻 Photoshop – keyframe retouching and enhancement. 🧠 ChatGPT / Gemini / Grok – scriptwriting, narrative design, and conceptual direction. 🎧 ElevenLabs / Suno AI – original music composition. 🎞️ CapCut / After Effects – final editing and color grading. It was an arduous but deeply rewarding process, a demonstration of what a single creator can achieve when artistic vision meets advanced technology. An experiment… but also proof that the future of creation is already here. #ecuador #AIart #aivideos

I challenged myself to create a commercial type video based on my country of birth. I am proud of the final product and wish to share it with you all, specially with the fantastic AI community here in X that has given me so much support. Maybe this way you can see a little bit of my surroundings and habitat and know a little bit more about me. This video was created 100% with artificial intelligence. A process that, in a traditional production, would have taken months of work and a full professional team, costing tens of thousands of dollars. I made it alone, in two weeks, without leaving my office. By combining creativity, patience, and a series of cutting-edge tools, I generated between 500–700 images, 200–250 videos, and 20 songs. All of it was curated, edited, and finally unified into one piece. Tools used: 🎨 Midjourney / Nano Banana – image and visual concept generation. 🎥Grok / Veo / Midjourney – video and scene creation. 💻 Photoshop – keyframe retouching and enhancement. 🧠 ChatGPT / Gemini / Grok – scriptwriting, narrative design, and conceptual direction. 🎧 ElevenLabs / Suno AI – original music composition. 🎞️ CapCut / After Effects – final editing and color grading. It was an arduous but deeply rewarding process, a demonstration of what a single creator can achieve when artistic vision meets advanced technology. An experiment… but also proof that the future of creation is already here. #ecuador #AIart #aivideos

Toshi

18,356 views • 9 months ago

These AI claymation ads are crushing it on Meta right now 🤯 Images, videos, voiceover, music, captions: all made entirely with AI. Perfect for DTC brands and agencies who want ad creative that actually stands out in the Meta feed instead of blending in with every other UGC talking head and static image. If you're running the same creative formats as everyone else — UGC, statics, carousels — and wondering why engagement keeps dropping and CPMs keep climbing... Animated ads break the entire pattern: → They look like nothing else in the feed, so they stop the scroll → They work as paid ads on Meta AND organic content on TikTok, Reels, and Shorts → You can produce them in-house without hiring freelancers or booking a studio → One workflow covers claymation, Pixar, anime, Wes Anderson miniature, retro cartoon, synthwave, and hyperrealistic CGI The workflow uses Claude for all the creative assets, Nano Banana Pro for image generation, Kling 3.0 for animation, Gemini to rewrite the voiceover to match the footage, ElevenLabs for voice, Suno for music, and CapCut for the final edit. Eight steps, one finished ad. I'm giving away every single prompt I used to create this video for free. Want all the prompts? > Like this post > Comment "CLAY" And I'll send them over (must be following so I can DM)

These AI claymation ads are crushing it on Meta right now 🤯 Images, videos, voiceover, music, captions: all made entirely with AI. Perfect for DTC brands and agencies who want ad creative that actually stands out in the Meta feed instead of blending in with every other UGC talking head and static image. If you're running the same creative formats as everyone else — UGC, statics, carousels — and wondering why engagement keeps dropping and CPMs keep climbing... Animated ads break the entire pattern: → They look like nothing else in the feed, so they stop the scroll → They work as paid ads on Meta AND organic content on TikTok, Reels, and Shorts → You can produce them in-house without hiring freelancers or booking a studio → One workflow covers claymation, Pixar, anime, Wes Anderson miniature, retro cartoon, synthwave, and hyperrealistic CGI The workflow uses Claude for all the creative assets, Nano Banana Pro for image generation, Kling 3.0 for animation, Gemini to rewrite the voiceover to match the footage, ElevenLabs for voice, Suno for music, and CapCut for the final edit. Eight steps, one finished ad. I'm giving away every single prompt I used to create this video for free. Want all the prompts? > Like this post > Comment "CLAY" And I'll send them over (must be following so I can DM)

Mike Futia

44,971 views • 3 months ago

Here is a fun idea to try. You can create these images with giant people/animals using Nano Banana Pro. Just adjust the elements in brackets and have fun! If you have the option to generate at 4K, definitely use it as it makes the tiny people look crisper. These types of images seem to animate best with Veo 3.1 from testing, but you can try with Kling 2.6 or Grok Imagine as well so have some fun! Feel free to show me your giant humans/animals. 🍌Universal Prompt: A highly detailed, photorealistic [CAMERA ANGLE, e.g., wide-angle shot, aerial shot looking down, extreme low-angle looking up] showing a colossal [DESCRIBE THE PERSON & CLOTHING] positioned in [SPECIFIC LOCATION/CITY/LANDSCAPE]. The giant is [ACTION - INTERACTING WITH THE ENVIRONMENT, e.g., sitting on a building, stepping over a bridge]. To establish the immense scale, tiny [TINY ELEMENTS: PEOPLE, CARS, OR BOATS] are visible near their [FEET/HANDS]. The lighting is [TIME OF DAY, e.g., golden hour, midday sun]. There are more visuals examples with prompts included in my 80 creative use cases document which you can view via this link completely for free. Look for use case 84.

Here is a fun idea to try. You can create these images with giant people/animals using Nano Banana Pro. Just adjust the elements in brackets and have fun! If you have the option to generate at 4K, definitely use it as it makes the tiny people look crisper. These types of images seem to animate best with Veo 3.1 from testing, but you can try with Kling 2.6 or Grok Imagine as well so have some fun! Feel free to show me your giant humans/animals. 🍌Universal Prompt: A highly detailed, photorealistic [CAMERA ANGLE, e.g., wide-angle shot, aerial shot looking down, extreme low-angle looking up] showing a colossal [DESCRIBE THE PERSON & CLOTHING] positioned in [SPECIFIC LOCATION/CITY/LANDSCAPE]. The giant is [ACTION - INTERACTING WITH THE ENVIRONMENT, e.g., sitting on a building, stepping over a bridge]. To establish the immense scale, tiny [TINY ELEMENTS: PEOPLE, CARS, OR BOATS] are visible near their [FEET/HANDS]. The lighting is [TIME OF DAY, e.g., golden hour, midday sun]. There are more visuals examples with prompts included in my 80 creative use cases document which you can view via this link completely for free. Look for use case 84.

Travis Davids

462,621 views • 7 months ago

In the second episode of Scenius Studio's mini-series "The Use-Case", I sit down with Andrej Co-Founder of touch grass. Grass gives users the ability to earn ownership in the Grass network by supplying the protocol with their unused internet bandwidth for data scraping purposes (something that is already happening to most of us and we don’t get paid!). The grass protocol packages this scraped web data and sells it to AI companies who have insufficient data to further develop their models. With over 3 millions users and millions of annualized revenue, Grass is a real commercial business with a roadmap that makes it one of the most exciting projects at the intersection of crypto x AI and data. In this episode we discuss: ➔ Andrej’s background in physics, finance, and sports betting ➔ Big companies using your IP address without your knowledge or permission ➔ How the Grass protocol puts a toll booth on your internet bandwidth highway ➔ Packaging web scraped data and selling it to AI companies building Multi-Modal models ➔ Dynamics between the Grass Protocol and the labs entity developing Grass’ IP ➔ Protocol design decisions to ensure that all tokenholders (VCs, team, and community) are aligned ➔ Why Grass needed to be built on crypto rails to maximize its potential ➔ The future of LLMs and how they will search for context and information Hope you enjoy this episode of Scenius Studio's "The Use-Case". Links to listen in bio or below👇

In the second episode of Scenius Studio's mini-series "The Use-Case", I sit down with Andrej Co-Founder of touch grass. Grass gives users the ability to earn ownership in the Grass network by supplying the protocol with their unused internet bandwidth for data scraping purposes (something that is already happening to most of us and we don’t get paid!). The grass protocol packages this scraped web data and sells it to AI companies who have insufficient data to further develop their models. With over 3 millions users and millions of annualized revenue, Grass is a real commercial business with a roadmap that makes it one of the most exciting projects at the intersection of crypto x AI and data. In this episode we discuss: ➔ Andrej’s background in physics, finance, and sports betting ➔ Big companies using your IP address without your knowledge or permission ➔ How the Grass protocol puts a toll booth on your internet bandwidth highway ➔ Packaging web scraped data and selling it to AI companies building Multi-Modal models ➔ Dynamics between the Grass Protocol and the labs entity developing Grass’ IP ➔ Protocol design decisions to ensure that all tokenholders (VCs, team, and community) are aligned ➔ Why Grass needed to be built on crypto rails to maximize its potential ➔ The future of LLMs and how they will search for context and information Hope you enjoy this episode of Scenius Studio's "The Use-Case". Links to listen in bio or below👇

Ben Jacobs

22,418 views • 1 year ago

Seedance 2.0 is allowing us to enter a new era of music video creation. Here is how I created HONEY. It was a quick test to see how well this workflow holds up. 🐝 1 - Write your song and generate the music with Suno 5.5. 2 - Use an image generator of your choice. For HONEY I combined both Grok Imagine for aesthetics and Nano Banana Pro for refined editing. 3 - In Capcut I import my audio and just save out a blank video video containing the audio. This step is important because this video file containing audio will now be used with Seedance 2.0 as a video reference with Omni. This allows the AI to apply automatic and realistic lipsync and movement to the music, it's extremely powerful! 4 - Once I have a both my image and video with audio as reference, I use Seedance 2.0 Omni and upload my starting image and then the video reference with the audio. 5 - From here I'm simply prompting like normal, specifying what's happening in my scene with detailed instructions, mentioning multi shots and camera angle changes and then specifying that the person is singing along to the song. I type out the lyrics that are present to have better lipsync accuracy. 6 - Once I have generated a video and like the result, I do video to video, so i upload that video that just got generated and type "The scene continues" and prompt new actions to take place. This allows you to expand on a narrative. These new shots can be used as B-ROLL and since I uploaded my video as reference I have full consistency of everything it saw in the video. This is also extremely powerful. 7 - This is actually the most difficult part. Edit in Capcut. This is where you need to understand pacing and shot selection from all the scenes you generated to bring it all together. You must be strategic with the editing. Goodluck! I'll probably record a video tutorial at some point as it's easier to see what is being done.

Seedance 2.0 is allowing us to enter a new era of music video creation. Here is how I created HONEY. It was a quick test to see how well this workflow holds up. 🐝 1 - Write your song and generate the music with Suno 5.5. 2 - Use an image generator of your choice. For HONEY I combined both Grok Imagine for aesthetics and Nano Banana Pro for refined editing. 3 - In Capcut I import my audio and just save out a blank video video containing the audio. This step is important because this video file containing audio will now be used with Seedance 2.0 as a video reference with Omni. This allows the AI to apply automatic and realistic lipsync and movement to the music, it's extremely powerful! 4 - Once I have a both my image and video with audio as reference, I use Seedance 2.0 Omni and upload my starting image and then the video reference with the audio. 5 - From here I'm simply prompting like normal, specifying what's happening in my scene with detailed instructions, mentioning multi shots and camera angle changes and then specifying that the person is singing along to the song. I type out the lyrics that are present to have better lipsync accuracy. 6 - Once I have generated a video and like the result, I do video to video, so i upload that video that just got generated and type "The scene continues" and prompt new actions to take place. This allows you to expand on a narrative. These new shots can be used as B-ROLL and since I uploaded my video as reference I have full consistency of everything it saw in the video. This is also extremely powerful. 7 - This is actually the most difficult part. Edit in Capcut. This is where you need to understand pacing and shot selection from all the scenes you generated to bring it all together. You must be strategic with the editing. Goodluck! I'll probably record a video tutorial at some point as it's easier to see what is being done.

Travis Davids

19,081 views • 3 months ago

Monetizing your own AI app just got really easy. Last week I used YouAI to create an AI-powered bio generator. It took me less than an hour and I didn't need any programming skills. And now it just made it's first sale. All you need is a good idea and some prompting skills. Here's how you can create your own: Step 1: Setup → Go to → Sign up, then click on "new AI" (you can also remix an existing AI if you're lazy) Step 2: Create prompt → Within the "preamble" you can create the main prompt for this AI → In my example I described the assistant's goal (bio generator) and defined the format of the bios → I also added some bio examples to train the AI Step 3: Configure inputs → Now you define what the user inputs when using the AI app → In my case I defined 3 user inputs: - What topic do you tweet about? - What is your background? What have you achieved? - How do you help your followers? The answers are then used as variables to create the bios. Step 4: Publish → Select the underlying model (GPT or Claude) → Keep the app free or turn on monetization → Then publish! Your app will now be available in the YouAI library for others to use YouAI is also doing a live event tomorrow where they'll go into more detail and teach you how to build your own YouAI app: Thank you to YouAI for sponsoring this post! I'm a big fan of their product.

Monetizing your own AI app just got really easy. Last week I used YouAI to create an AI-powered bio generator. It took me less than an hour and I didn't need any programming skills. And now it just made it's first sale. All you need is a good idea and some prompting skills. Here's how you can create your own: Step 1: Setup → Go to → Sign up, then click on "new AI" (you can also remix an existing AI if you're lazy) Step 2: Create prompt → Within the "preamble" you can create the main prompt for this AI → In my example I described the assistant's goal (bio generator) and defined the format of the bios → I also added some bio examples to train the AI Step 3: Configure inputs → Now you define what the user inputs when using the AI app → In my case I defined 3 user inputs: - What topic do you tweet about? - What is your background? What have you achieved? - How do you help your followers? The answers are then used as variables to create the bios. Step 4: Publish → Select the underlying model (GPT or Claude) → Keep the app free or turn on monetization → Then publish! Your app will now be available in the YouAI library for others to use YouAI is also doing a live event tomorrow where they'll go into more detail and teach you how to build your own YouAI app: Thank you to YouAI for sponsoring this post! I'm a big fan of their product.

Moritz Kremb

30,424 views • 2 years ago

Where are we in the consumer AI cycle? I went on Bloomberg Technology yesterday to share my thoughts from 2+ years of studying the data 👇 1. We are still so early. In our a16z ranking of the top 50 AI consumer sites, ChatGPT (700M WAUs) has the lead on #2 Gemini by ~10x. And, more than half the list is either general LLM tools (text box as UI!) or creative tools that benefit from hallucination. 2. ...but, models are improving in reasoning and reliability to the point where they can now start supporting use cases that need accuracy and consistency. Ex. health, personal finance, productivity (emails, spreadsheets, and other knowledge work). 3. Big tech is waking up. Google is making waves with both the Gemini series and creative models (Veo 3, nano banana). Grok went 0 -> 20M+ MAUs in <1 year! Alibaba + Bytedance both have top consumer products. Meta still lags - but recent acquisitions may help. 4. AI is going global. Local winners are emerging, especially where products are censored (ex. China) - Quark, Qwen, Kimi have all taken off. The U.S. becomes the biggest market for int'l builders "exporting" their innovation - ex. Manus, Lovable, Eleven Labs. 5. Moats are emerging. 14 cos have made every top 50 web rank (five lists!) Brand, data, + traditional network effects are kicking in. But, consumers won't stick on products where hype is high but value prop isn't there - ex. Deepseek has fallen off everywhere ex-China. 6. The "developer" market is exploding. Pre-AI, it would have been unprecedented to see developer-focused products rival consumer ones on usage. But we see Replit, Lovable, AI Studio, Cursor, and more in our top ranks as vibe coding expands the TAM.

Olivia Moore

17,244 views • 10 months ago

"The future of AI is agentic. That includes browsers!" Imagine having an AI agent in your browser that can help you complete complex tasks, answer your questions, and streamline your workflow. Today I'm thrilled to share a sneak peek at Project Mariner, a cutting-edge research collaboration between Chrome and Google DeepMind, exploring the future of agentic AI within the browser! Building on the power of Gemini 2.0, Mariner envisions AI agents seamlessly guiding users through online tasks, streamlining workflows and enriching browsing experiences. Imagine having an intelligent co-pilot in your browser, anticipating your needs and proactively offering assistance. We're in the early stages of experimentation, focusing on core functionalities like understanding user intent, automating actions, and providing personalized recommendations. This prototype leverages Gemini's advanced natural language understanding and reasoning capabilities to interpret user requests, both typed and spoken. Mariner can then interact with web pages, retrieve information, and even perform actions like filling out forms or navigating to specific sites. For example, a user could simply ask "Find me a job near me," and Mariner would understand the request, navigate to a relevant job search site, and tailor the search based on the user's location and preferences. This is just one example of how we're exploring Gemini 2.0's potential to unlock agentic experiences through a series of prototypes, including: 1. Agents with multimodal reasoning: Project Astra, our research prototype exploring the capabilities of a universal AI assistant, is enhanced by Gemini 2.0. 2. Agents that can help you accomplish complex tasks: Project Mariner itself focuses on the future of human-agent interaction within the browser. 3. Agents for developers: Jules is an experimental AI-powered coding agent that integrates directly into a GitHub workflow. 4. Agents applied across domains: We're exploring agents for navigating video games and even applying Gemini 2.0's spatial reasoning to robotics. We believe that integrating AI agents directly into the browser has the potential to revolutionize how we interact with the web. Project Mariner aims to make browsing more intuitive, efficient, and personalized. By understanding user context and proactively offering assistance, Mariner can simplify complex tasks, save users time, and empower them to achieve more online. This aligns perfectly with the vision of Gemini 2.0 to create more helpful and intuitive AI experiences. We’re currently testing Mariner with a small group of trusted users to gather feedback and refine the user experience. We believe that this technology holds immense potential to transform the way we browse and interact with information online.

"The future of AI is agentic. That includes browsers!" Imagine having an AI agent in your browser that can help you complete complex tasks, answer your questions, and streamline your workflow. Today I'm thrilled to share a sneak peek at Project Mariner, a cutting-edge research collaboration between Chrome and Google DeepMind, exploring the future of agentic AI within the browser! Building on the power of Gemini 2.0, Mariner envisions AI agents seamlessly guiding users through online tasks, streamlining workflows and enriching browsing experiences. Imagine having an intelligent co-pilot in your browser, anticipating your needs and proactively offering assistance. We're in the early stages of experimentation, focusing on core functionalities like understanding user intent, automating actions, and providing personalized recommendations. This prototype leverages Gemini's advanced natural language understanding and reasoning capabilities to interpret user requests, both typed and spoken. Mariner can then interact with web pages, retrieve information, and even perform actions like filling out forms or navigating to specific sites. For example, a user could simply ask "Find me a job near me," and Mariner would understand the request, navigate to a relevant job search site, and tailor the search based on the user's location and preferences. This is just one example of how we're exploring Gemini 2.0's potential to unlock agentic experiences through a series of prototypes, including: 1. Agents with multimodal reasoning: Project Astra, our research prototype exploring the capabilities of a universal AI assistant, is enhanced by Gemini 2.0. 2. Agents that can help you accomplish complex tasks: Project Mariner itself focuses on the future of human-agent interaction within the browser. 3. Agents for developers: Jules is an experimental AI-powered coding agent that integrates directly into a GitHub workflow. 4. Agents applied across domains: We're exploring agents for navigating video games and even applying Gemini 2.0's spatial reasoning to robotics. We believe that integrating AI agents directly into the browser has the potential to revolutionize how we interact with the web. Project Mariner aims to make browsing more intuitive, efficient, and personalized. By understanding user context and proactively offering assistance, Mariner can simplify complex tasks, save users time, and empower them to achieve more online. This aligns perfectly with the vision of Gemini 2.0 to create more helpful and intuitive AI experiences. We’re currently testing Mariner with a small group of trusted users to gather feedback and refine the user experience. We believe that this technology holds immense potential to transform the way we browse and interact with information online.

Addy Osmani

29,501 views • 1 year ago

Chamath: “Facebook, Tesla, Google… they almost had an allergic reaction to the traditional software stack. They refused to use it.” Find out why he raised a $135M Series A to redefine development, giving every enterprise the opportunity to build and maintain their own software without the $4T in consultants and middleware that usually comes with it… in the debut episode of TWiST All Star Summer 2026. 0:00 It's TWiST All-Star Summer! 0:44 Plaud: If your work depends on conversations — interviews, meetings, calls — you need a Plaud NotePin. You can check it out at and use code TWIST for 10% off! 3:21 Chamath's origin story 7:54 Tom Sawyer entrepreneurship 11:29 Shopify - Turn those What If's into sales with the ecommerce platform powering millions of businesses. Sign up for your $1-per-month trial today at 16:25 The $5 trillion software market 21:06 LinkedIn Jobs - Hire right, the first time. Post your first job and get $100 off towards your job post at 25:00 Building "a co-founder for every human" 31:51 Northwest Registered Agent - Get more when you start your business with Northwest. In 10 clicks and 10 minutes, you can form your company and walk away with a real business identity — Learn more at 35:00 How product development lost its way 45:00 Regulated industries are the beachhead 50:00 Raising the $135M Series A 55:00 8090's "System on a Chip" model 1:04:44 What to tell your kids about AI cc: Chamath Palihapitiya, @jason, 8090 🎥 Watch the full episode here 👇

Chamath: “Facebook, Tesla, Google… they almost had an allergic reaction to the traditional software stack. They refused to use it.” Find out why he raised a $135M Series A to redefine development, giving every enterprise the opportunity to build and maintain their own software without the $4T in consultants and middleware that usually comes with it… in the debut episode of TWiST All Star Summer 2026. 0:00 It's TWiST All-Star Summer! 0:44 Plaud: If your work depends on conversations — interviews, meetings, calls — you need a Plaud NotePin. You can check it out at and use code TWIST for 10% off! 3:21 Chamath's origin story 7:54 Tom Sawyer entrepreneurship 11:29 Shopify - Turn those What If's into sales with the ecommerce platform powering millions of businesses. Sign up for your $1-per-month trial today at 16:25 The $5 trillion software market 21:06 LinkedIn Jobs - Hire right, the first time. Post your first job and get $100 off towards your job post at 25:00 Building "a co-founder for every human" 31:51 Northwest Registered Agent - Get more when you start your business with Northwest. In 10 clicks and 10 minutes, you can form your company and walk away with a real business identity — Learn more at 35:00 How product development lost its way 45:00 Regulated industries are the beachhead 50:00 Raising the $135M Series A 55:00 8090's "System on a Chip" model 1:04:44 What to tell your kids about AI cc: Chamath Palihapitiya, @jason, 8090 🎥 Watch the full episode here 👇

This Week in Startups

109,738 views • 15 days ago