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🤯 Tried making a Vox-style history explainer with ChatGPT + Seedance! 45 seconds on Qin unifying China. 9 scenes: the Seven Warring States, rival powers, conquest, standardized script, currency, measurements, roads, and one imperial system. 🌟Mostly AI-built: ChatGPT for structure, Image2 for collage keyframes, Seedance for animation, plus AI...

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Larus Canus

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66,885 Aufrufe • vor 26 Tagen •via X (Twitter)

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ChatGPT Images 2.0 + Seedance 2.0 is f*cking wild 🤯 I generated this 25-second UGC ad for Barebells in under 20 minutes: creator, script, scenes, finished cut. ChatGPT Images 2.0 generates the creator. Seedance 2.0 turns it into video. Perfect for DTC brands and agencies who want to test 20 UGC angles before paying $2K per creator video. If you're briefing creator agencies every week, waiting 7-10 days for one take of one variation, and paying $150–$300+ per UGC video that still misses the brand vibe... This workflow eliminates the entire loop: → Generate your creator in ChatGPT Images 2.0 → Save her as a Character Element in Seedance so her face stays locked across every scene → Save your product as a Prop Element with brand-accurate wrapper details → Write a 3-scene script in real UGC dialogue cadence → Fire each scene to Seedance 2.0 with both elements selected → Stitch in CapCut with auto-captions, no music, hard cuts only No creator briefs. No 7-day turnarounds. No $200/video platform fees. What you get: → A finished UGC ad in your brand's voice → Infinite variations of the same concept (test 10 hooks against one product in an afternoon) → A reusable creator and product Element library that scales across every ad → A repeatable workflow your team can run in 15-30 minutes I put together a full playbook with the 5-step system, every prompt template, the Seedance scene structure, and every common failure mode and how to fix it. Want it for free? > Like this post > Comment "UGC" And I'll send it over (must be following so I can DM)
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ChatGPT Images 2.0 + Seedance 2.0 is f*cking wild 🤯 I generated this 25-second UGC ad for Barebells in under 20 minutes: creator, script, scenes, finished cut. ChatGPT Images 2.0 generates the creator. Seedance 2.0 turns it into video. Perfect for DTC brands and agencies who want to test 20 UGC angles before paying $2K per creator video. If you're briefing creator agencies every week, waiting 7-10 days for one take of one variation, and paying $150–$300+ per UGC video that still misses the brand vibe... This workflow eliminates the entire loop: → Generate your creator in ChatGPT Images 2.0 → Save her as a Character Element in Seedance so her face stays locked across every scene → Save your product as a Prop Element with brand-accurate wrapper details → Write a 3-scene script in real UGC dialogue cadence → Fire each scene to Seedance 2.0 with both elements selected → Stitch in CapCut with auto-captions, no music, hard cuts only No creator briefs. No 7-day turnarounds. No $200/video platform fees. What you get: → A finished UGC ad in your brand's voice → Infinite variations of the same concept (test 10 hooks against one product in an afternoon) → A reusable creator and product Element library that scales across every ad → A repeatable workflow your team can run in 15-30 minutes I put together a full playbook with the 5-step system, every prompt template, the Seedance scene structure, and every common failure mode and how to fix it. Want it for free? > Like this post > Comment "UGC" And I'll send it over (must be following so I can DM)

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I just cracked the code on AI animation ads 🤯 every one of these cost me 12 cents and under 20 seconds to make Gemini Omni + Claude Code is f*cking wild. i built a system that turns any product into an end-to-end AI animated ad in ANY style you want.. claymation, pixar-style 3D, anime, paper cutout, lego, you name it you drop in your product photo and a one line pitch and it handles everything end to end. images, video, voiceover, music, captions, all generated with AI inside Claude.. AI animation ads are crushing on Meta right now and everyone still assumes you need an expensive editor with a 3-week turnaround time to make one. you don't. you just need the right workflow. Im making full end to end high quality AI animation ads in under 3 minutes with this system and they work just as hard organically on TikTok, reels and shorts so i packaged the whole thing up… here's what you're getting: > every prompt i used across all 8 steps > the exact tool stack + the order to run it in > style recipes for claymation, pixar, anime, wes anderson, retro cartoon + CGI > one system that works for paid Meta AND organic built across Claude Code and Gemini Omni RT + reply 'STYLES' and i'll send it over (must be following so i can dm)
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I just cracked the code on AI UGC ads 🤯 This ad is nearly THREE minutes long, and it has perfect character, voice, and product consistency across the entire video. I found a winning authority-style ad running on Meta, recreated it shot-for-shot with AI, and ended up with what you see below. Two consistent characters, consistent voice, real product in hand. If you've been stuck generating 8 second clips that look fine but can't hold attention for a full funnel ad, this is the workflow you're missing. Here's exactly how I did it: → Find a winning ad in Meta Ad Library and download it → Upload to Loom to get a timestamped transcript (this becomes your script) → Screenshot each character → clean in ChatGPT Images 2.0 → upload as Seedance Elements → Generate your first clip per character to lock in their voice → Extract that voice as an MP3 via CapCut, attach it to every clip after → Edit in CapCut: remove dead zones, speed up to 1.1x, done → Drop final video in the Captions app, add subtitles, export 2 minutes and 40 seconds, perfect character & product consistency. I put together the full step-by-step playbook with exact Seedance prompts, the CapCut speed trick, and a voiceover technique most people don't know about. Want access completely for free? > Comment "UGC" > Like this post And I'll send it over (must be following so I can DM)
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I just cracked the code on AI UGC ads 🤯 This ad is nearly THREE minutes long, and it has perfect character, voice, and product consistency across the entire video. I found a winning authority-style ad running on Meta, recreated it shot-for-shot with AI, and ended up with what you see below. Two consistent characters, consistent voice, real product in hand. If you've been stuck generating 8 second clips that look fine but can't hold attention for a full funnel ad, this is the workflow you're missing. Here's exactly how I did it: → Find a winning ad in Meta Ad Library and download it → Upload to Loom to get a timestamped transcript (this becomes your script) → Screenshot each character → clean in ChatGPT Images 2.0 → upload as Seedance Elements → Generate your first clip per character to lock in their voice → Extract that voice as an MP3 via CapCut, attach it to every clip after → Edit in CapCut: remove dead zones, speed up to 1.1x, done → Drop final video in the Captions app, add subtitles, export 2 minutes and 40 seconds, perfect character & product consistency. I put together the full step-by-step playbook with exact Seedance prompts, the CapCut speed trick, and a voiceover technique most people don't know about. Want access completely for free? > Comment "UGC" > Like this post And I'll send it over (must be following so I can DM)

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RIP Arcads 🤯 I built a Claude skill that vibe-codes UGC ads on demand. One product + one prompt = the AI creator, the script, the scene-by-scene shot list, and finished video. All inside Claude. Perfect for DTC brands and agencies who can't afford to keep paying $500-$1,500 per UGC video and waiting 2 weeks for revisions. If you're briefing creators, mailing PR boxes, waiting on first cuts, then asking for re-shoots because the hook didn't land... This skill eliminates the entire loop: → Tell Claude the product, ad angle, and length → Skill writes the GPT Image 2.0 prompt to generate the AI creator from scratch → Skill writes every scene prompt, dialogue line, and delivery direction → Pipe it into Seedance 2.0 with character + product + voice locked → Speed up + caption in CapCut → Ship the ad in 20 minutes No more paying $11 per video on Arcads. What you get: → Perfect character consistency across every scene → Voice consistency that holds clip-to-clip (small CapCut hack inside the tutorial) → Real product fidelity using your actual product photo as a reference → Multi-scene day-in-life, testimonial, and action-shot formats out of the box Built 100% with a Claude skill + Seedance 2.0. I recorded a full step-by-step tutorial showing the exact workflow + the 3 finished AI UGC ads I made for Rhode, AG1, and Barebells. Want to see the full breakdown? > Like this post > Comment "UGC" And I'll send it over (must be following so I can DM)

Mike Futia

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✨ I made a 100% AI video of a single night in 🇩🇪 Berlin's underground techno scene Doing an AI shoot is very much like a real life shoot, you have to prepare locations, settings, outfits and models, you can do the same: 1) First I generated photos with the [ 🇩🇪 Berlin nightlife ] photo pack on they're all non-existing AI people except me and my gf 2) Then I put the pics I liked in Kling AI to make them into 10 second videos (with Professional Mode), soon I'll have API access and it'll be one-click inside Photo AI to turn a photo into a 10-sec video, it then takes about 5 minutes to make a video. It's not always great, especially dancing is hard to get right! 3) Then I wanted to have a German narrator talking about Berlin's techno nights in a poetic way like a documentary, so I asked ChatGPT 4o: "write in the style of a cult German novelist about the Berlin techno scene" I then copied that text into Eleven Labs and selected a German AI voice 4) I then collected all the videos, the music and the audio narrator and edited them together in Final Cut Pro adding music from HÖR and adding audio effects 5) Then I added English captions with CapCut Time to make it: 3 hours for 1 minute of video I hope you like it! My dream is to have this entire pipeline in Photo AI at some point. Connecting to Kling AI's video API is the first step to that. Imagine just writing a prompt and you end up with a video like this without all the work Credits: Music: Asquith - Let Me (Rave Mix) [ASQ004] Barbax - Si Vis Pacem Para Bellum (Original Mix) Mixed by Ellen Allien @ HÖR Video: 100% AI characters and video by Photo AI Edited by me Narrator voice: 100% written by ChatGPT 4o 100% narrated by Eleven Labs AI voice
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✨ I made a 100% AI video of a single night in 🇩🇪 Berlin's underground techno scene Doing an AI shoot is very much like a real life shoot, you have to prepare locations, settings, outfits and models, you can do the same: 1) First I generated photos with the [ 🇩🇪 Berlin nightlife ] photo pack on they're all non-existing AI people except me and my gf 2) Then I put the pics I liked in Kling AI to make them into 10 second videos (with Professional Mode), soon I'll have API access and it'll be one-click inside Photo AI to turn a photo into a 10-sec video, it then takes about 5 minutes to make a video. It's not always great, especially dancing is hard to get right! 3) Then I wanted to have a German narrator talking about Berlin's techno nights in a poetic way like a documentary, so I asked ChatGPT 4o: "write in the style of a cult German novelist about the Berlin techno scene" I then copied that text into Eleven Labs and selected a German AI voice 4) I then collected all the videos, the music and the audio narrator and edited them together in Final Cut Pro adding music from HÖR and adding audio effects 5) Then I added English captions with CapCut Time to make it: 3 hours for 1 minute of video I hope you like it! My dream is to have this entire pipeline in Photo AI at some point. Connecting to Kling AI's video API is the first step to that. Imagine just writing a prompt and you end up with a video like this without all the work Credits: Music: Asquith - Let Me (Rave Mix) [ASQ004] Barbax - Si Vis Pacem Para Bellum (Original Mix) Mixed by Ellen Allien @ HÖR Video: 100% AI characters and video by Photo AI Edited by me Narrator voice: 100% written by ChatGPT 4o 100% narrated by Eleven Labs AI voice

@levelsio

676,094 Aufrufe • vor 1 Jahr

This is probably the most complex workflow I’ve ever built, only with open-source tools. It took my 4 days. It takes four inputs: author, title, and style; and generates a full visual animated story in one click in ComfyUI . I worked on it for four days. There are still some bugs, but here’s the first preview. Here’s a quick breakdown: - The four inputs are sent to LLMs with precise instructions to generate: first, prompts for images and image modifications; second, prompts for animations; third, prompts for generating music. - All voices are generated from the text and timed precisely, as they determine the length of each animation segment. - The first image and video are generated to serve as the title, but also as the guide for all other images created for the video. - Titles and subtitles are also added automatically in Comfy. - I also developed a lot of custom nodes for minor frame calculations, mostly to match audio and video. - The full system is a large loop that, for each line of text, generates an image and then a video from that image. The loop was the hardest part to build in this workflow, so it can process either a 20-second video or a 2-minute video with the same input. - There are multiple combinations of LLMs that try to understand the text in the best way to provide the best prompts for images and video. - The final video is assembled entirely within ComfyUI. - The music is generated based on the LLM output and matches the exact timing of the full animation. - Done! For reference, this workflow uses a lot of models and only works on an RTX 6000 Pro with plenty of RAM. My goal is not to replace humans, as I’ll try to explain later, this workflow is highly controlled and can be adapted or reworked at any point by real artists! My aim was to create a tool that can animate text in one go, allowing the AI some freedom while keeping a strict flow. I don’t know yet how I’ll share this workflow with people, I still need to polish it properly, but maybe through Patreon. Anyway, I hope you enjoy my research, and let’s always keep pushing further! :)
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This is probably the most complex workflow I’ve ever built, only with open-source tools. It took my 4 days. It takes four inputs: author, title, and style; and generates a full visual animated story in one click in ComfyUI . I worked on it for four days. There are still some bugs, but here’s the first preview. Here’s a quick breakdown: - The four inputs are sent to LLMs with precise instructions to generate: first, prompts for images and image modifications; second, prompts for animations; third, prompts for generating music. - All voices are generated from the text and timed precisely, as they determine the length of each animation segment. - The first image and video are generated to serve as the title, but also as the guide for all other images created for the video. - Titles and subtitles are also added automatically in Comfy. - I also developed a lot of custom nodes for minor frame calculations, mostly to match audio and video. - The full system is a large loop that, for each line of text, generates an image and then a video from that image. The loop was the hardest part to build in this workflow, so it can process either a 20-second video or a 2-minute video with the same input. - There are multiple combinations of LLMs that try to understand the text in the best way to provide the best prompts for images and video. - The final video is assembled entirely within ComfyUI. - The music is generated based on the LLM output and matches the exact timing of the full animation. - Done! For reference, this workflow uses a lot of models and only works on an RTX 6000 Pro with plenty of RAM. My goal is not to replace humans, as I’ll try to explain later, this workflow is highly controlled and can be adapted or reworked at any point by real artists! My aim was to create a tool that can animate text in one go, allowing the AI some freedom while keeping a strict flow. I don’t know yet how I’ll share this workflow with people, I still need to polish it properly, but maybe through Patreon. Anyway, I hope you enjoy my research, and let’s always keep pushing further! :)

Lovis Odin

58,769 Aufrufe • vor 10 Monaten

THE MOST COMPREHENSIVE AI VIDEO TUTORIAL (43 mins): how to use sora 2 + veo3 to turn 1 idea into 1M+ views (not AI slop, AI gold) 1/ start with the hook - before opening any tool, write 10 first lines that would stop someone mid-scroll. emotion, surprise, or curiosity. the first 3 seconds decide everything. 2/ script it in chatgpt - once you have the hook, prompt chatgpt to write a 30–45 second script with a clear setup, build, and twist. short, rhythmic sentences work best for retention. 3/ storyboard with reve or similar- drop the script in and visualize each moment. this keeps your pacing tight and your message clear before you hit generate. 4/ generate visuals with veo3 etc - turn the storyboard into scenes: cinematic lighting, expressive faces, fast transitions. keep a new image or motion every 2 seconds — pattern interrupts keep people watching. 5/ animate in sora 2- use sora 2 to bring everything to life. add subtle movement, dialogue sync, and environmental motion that feels handcrafted, not robotic. 6/ edit for rhythm and emotion - layer sound design and quick pacing. trim any fluff. test versions with different opening hooks or music cues. the most viral clips hit hard, then end fast. 7/ analyze and remix - post across shorts, reels, and tiktok. check retention graphs, rework the top 10% of performers, and double down on formats that hit. every viral creator has 10 quiet failures behind each success. MEGA thanks to PJ Ace for dropping the sauce on The Startup Ideas Podcast (SIP) 🧃 again PEOPLE CHARGE $$$ FOR THIS SORTA STUFF, IT'S FREE FOR YOU TO CRUSH IT I'd love to see him come back on, so please let us know if you enjoyed it AI slop is flooding every feed right now, which is exactly why great storytelling matters again. the people who use these tools with taste and intention will rise above the noise. this is the moment to build things that actually make people feel something. no one wants AI slop. everyone wants content that moves them, not just fills the feed.
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THE MOST COMPREHENSIVE AI VIDEO TUTORIAL (43 mins): how to use sora 2 + veo3 to turn 1 idea into 1M+ views (not AI slop, AI gold) 1/ start with the hook - before opening any tool, write 10 first lines that would stop someone mid-scroll. emotion, surprise, or curiosity. the first 3 seconds decide everything. 2/ script it in chatgpt - once you have the hook, prompt chatgpt to write a 30–45 second script with a clear setup, build, and twist. short, rhythmic sentences work best for retention. 3/ storyboard with reve or similar- drop the script in and visualize each moment. this keeps your pacing tight and your message clear before you hit generate. 4/ generate visuals with veo3 etc - turn the storyboard into scenes: cinematic lighting, expressive faces, fast transitions. keep a new image or motion every 2 seconds — pattern interrupts keep people watching. 5/ animate in sora 2- use sora 2 to bring everything to life. add subtle movement, dialogue sync, and environmental motion that feels handcrafted, not robotic. 6/ edit for rhythm and emotion - layer sound design and quick pacing. trim any fluff. test versions with different opening hooks or music cues. the most viral clips hit hard, then end fast. 7/ analyze and remix - post across shorts, reels, and tiktok. check retention graphs, rework the top 10% of performers, and double down on formats that hit. every viral creator has 10 quiet failures behind each success. MEGA thanks to PJ Ace for dropping the sauce on The Startup Ideas Podcast (SIP) 🧃 again PEOPLE CHARGE $$$ FOR THIS SORTA STUFF, IT'S FREE FOR YOU TO CRUSH IT I'd love to see him come back on, so please let us know if you enjoyed it AI slop is flooding every feed right now, which is exactly why great storytelling matters again. the people who use these tools with taste and intention will rise above the noise. this is the moment to build things that actually make people feel something. no one wants AI slop. everyone wants content that moves them, not just fills the feed.

GREG ISENBERG

137,811 Aufrufe • vor 9 Monaten

I just cracked the code on AI UGC ads 🤯 51 seconds long. One creator across the entire ad: same face, same voice, same product packaging in every single shot. Talking-head delivery, b-roll cutaways, voiceover running over the b-roll, and the creator moving through different settings. A fully edited, multi-shot ad that actually holds. If you've been stuck generating 8-second clips that look fine but fall apart the second you try to string them into a real ad, no character that holds, no voice that stays the same clip to clip, no product that survives more than one shot, this is the workflow you're missing. Here's exactly how I did it: → Pull a winning authority ad and rewrite the script for your product → Build your creator in ChatGPT Images 2.0 to match the exact buyer demographic → Lock the creator + product as reusable Elements so they stay identical across every shot → Break the script into single-scene shots so each one is a clean generation → Lock the voice on the first clip, then carry that same voice through every shot after → Tag your b-roll shots as voiceover so the line plays over the cutaway instead of lip-syncing → Edit in CapCut: cut the dead air, nudge to 1.1x → Drop the final cut in Captions, add subtitles, export Consistent character, consistent voice, consistent packaging — across talking head, b-roll, voiceover, and multiple settings. No character drift. No robotic voice swap. No disconnected 8-second clips. I put together the full step-by-step playbook with the exact ChatGPT Images 2.0 and Seedance prompts, the element-tagging setup, and the voice trick most people miss. Want it? > Like this post > Comment "UGC" And I'll send it over (must be following so I can DM)
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I just cracked the code on AI UGC ads 🤯 51 seconds long. One creator across the entire ad: same face, same voice, same product packaging in every single shot. Talking-head delivery, b-roll cutaways, voiceover running over the b-roll, and the creator moving through different settings. A fully edited, multi-shot ad that actually holds. If you've been stuck generating 8-second clips that look fine but fall apart the second you try to string them into a real ad, no character that holds, no voice that stays the same clip to clip, no product that survives more than one shot, this is the workflow you're missing. Here's exactly how I did it: → Pull a winning authority ad and rewrite the script for your product → Build your creator in ChatGPT Images 2.0 to match the exact buyer demographic → Lock the creator + product as reusable Elements so they stay identical across every shot → Break the script into single-scene shots so each one is a clean generation → Lock the voice on the first clip, then carry that same voice through every shot after → Tag your b-roll shots as voiceover so the line plays over the cutaway instead of lip-syncing → Edit in CapCut: cut the dead air, nudge to 1.1x → Drop the final cut in Captions, add subtitles, export Consistent character, consistent voice, consistent packaging — across talking head, b-roll, voiceover, and multiple settings. No character drift. No robotic voice swap. No disconnected 8-second clips. I put together the full step-by-step playbook with the exact ChatGPT Images 2.0 and Seedance prompts, the element-tagging setup, and the voice trick most people miss. Want it? > Like this post > Comment "UGC" And I'll send it over (must be following so I can DM)

Mike Futia

37,761 Aufrufe • vor 2 Monaten

.bolt.new is the second fastest-growing product in history—only behind ChatGPT. They hit $20M ARR just 60 days after launching the product, and ~$40M ARR (and 1 million DAU) just five months in 🤯 The craziest part is that they almost shut down the company. After seven years of building and iterating, they weren't getting anywhere. It turned out that what they'd been building was exactly what you need to build AI apps in the browser at scale. So they decided to give it one last shot. An overnight success, seven years in the making. In my conversation with Eric Simons (founder and CEO), we discuss: 🔸 Why Anthropic’s 3.5 Sonnet model was the critical breakthrough that made AI-generated code production-ready and unlocked the entire text-to-app market 🔸 How Bolt leverages WebContainer technology—a browser-based operating system developed over seven years—to create a dramatically faster, more reliable AI coding experience than competitors 🔸 How Bolt reached nearly $40M ARR and 3 million registered users in just five months with a team of only 15 to 20 people 🔸 Why PMs may be better positioned than engineers in the AI era 🔸 How AI will dramatically reshape company org charts 🔸 Why Eric lived at AOL’s HQ for many months 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 @Get_Eppo — Run reliable, impactful experiments: 🏆 Fundrise Flagship Fund — Invest in $1.1 billion of real estate: 🏆 OneSchema — Import CSV data 10x faster:
1:05

.bolt.new is the second fastest-growing product in history—only behind ChatGPT. They hit $20M ARR just 60 days after launching the product, and ~$40M ARR (and 1 million DAU) just five months in 🤯 The craziest part is that they almost shut down the company. After seven years of building and iterating, they weren't getting anywhere. It turned out that what they'd been building was exactly what you need to build AI apps in the browser at scale. So they decided to give it one last shot. An overnight success, seven years in the making. In my conversation with Eric Simons (founder and CEO), we discuss: 🔸 Why Anthropic’s 3.5 Sonnet model was the critical breakthrough that made AI-generated code production-ready and unlocked the entire text-to-app market 🔸 How Bolt leverages WebContainer technology—a browser-based operating system developed over seven years—to create a dramatically faster, more reliable AI coding experience than competitors 🔸 How Bolt reached nearly $40M ARR and 3 million registered users in just five months with a team of only 15 to 20 people 🔸 Why PMs may be better positioned than engineers in the AI era 🔸 How AI will dramatically reshape company org charts 🔸 Why Eric lived at AOL’s HQ for many months 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 @Get_Eppo — Run reliable, impactful experiments: 🏆 Fundrise Flagship Fund — Invest in $1.1 billion of real estate: 🏆 OneSchema — Import CSV data 10x faster:

Lenny Rachitsky

162,790 Aufrufe • vor 1 Jahr

New! ✨ Lex 🤝 Kit ✨ We built a new technique to train AI to write in your voice—using your Kit newsletters—that's the closest I've ever gotten AI to sound like me. 👉 > "Damn. This is really solid. Immediately obvious that it is trained on my newsletters." — Nathan Barry > "damn finally just read this and those subject lines and that example newsletter, it feels 90% nailed, super intrigued how we can build this tone of voice into the app more, feels like a total gear shift for any AI suggestions." — fred rivett 🇬🇧📈 (usually a skeptic of the "write a draft for me" approach) The way we did it is cool and (I think?) new! We all know if you go to ChatGPT or Claude and ask it to write for you, it's gonna sound like AI. Maybe you've tried uploading some examples or a style guide and still get disappointing results. Lots of AI writing apps purport to "write in your style," but they typically just generate a short summary of your style using a prompt like "Analyze the style and tone of these writing samples" and then stick it into the prompt. Maaaaybe they'll throw in a few examples. We've tried this and didn't think it was great, so we killed it. But when Nathan Barry pushed us to think about this problem again, we came up with a subtly new technique that had a big impact on the results. (The reason I'm sharing it is because our goal is to build the world's best interface for collaborating on text, and the world's best platform for saving, sharing, and running prompts. Proprietary prompting techniques are not our thing.) Instead of just asking what the "style" is (a very fuzzy question) we ask AI what patterns it can find. Specifically we ask it to look for patterns in structure and tone. Then—and this is crucial—we ask the AI to generate a detailed set of instructions that a new writer could use to consistently reproduce those patterns. We include those instructions and a bunch of examples in a prompt (often quite a large one, it's kinda expensive for us tbh). I think it works so much better than just giving examples or giving a broad overview of "style" because LLMs are trained to pay close attention to instructions and thrive on specificity. Here we ask the LLM to look for very specific patterns and generate equally specific instructions to reproduce those patterns. The other cool thing is unlike a fine-tuned model this is powered by a big-ass prompt that you can inspect and modify to your liking. Does it sound a little too enthusiastic? A bit cheesy? Just edit the prompt. Of course it's not perfect, it's still gonna need careful editing, but to us this feels like an obvious leap. I'd be really curious to hear if it feels the same to you. To start this is only available via our Kit integration but we'll start rolling it out more broadly soon. You can sign up at 👉 Would love your honest feedback!
2:41

New! ✨ Lex 🤝 Kit ✨ We built a new technique to train AI to write in your voice—using your Kit newsletters—that's the closest I've ever gotten AI to sound like me. 👉 > "Damn. This is really solid. Immediately obvious that it is trained on my newsletters." — Nathan Barry > "damn finally just read this and those subject lines and that example newsletter, it feels 90% nailed, super intrigued how we can build this tone of voice into the app more, feels like a total gear shift for any AI suggestions." — fred rivett 🇬🇧📈 (usually a skeptic of the "write a draft for me" approach) The way we did it is cool and (I think?) new! We all know if you go to ChatGPT or Claude and ask it to write for you, it's gonna sound like AI. Maybe you've tried uploading some examples or a style guide and still get disappointing results. Lots of AI writing apps purport to "write in your style," but they typically just generate a short summary of your style using a prompt like "Analyze the style and tone of these writing samples" and then stick it into the prompt. Maaaaybe they'll throw in a few examples. We've tried this and didn't think it was great, so we killed it. But when Nathan Barry pushed us to think about this problem again, we came up with a subtly new technique that had a big impact on the results. (The reason I'm sharing it is because our goal is to build the world's best interface for collaborating on text, and the world's best platform for saving, sharing, and running prompts. Proprietary prompting techniques are not our thing.) Instead of just asking what the "style" is (a very fuzzy question) we ask AI what patterns it can find. Specifically we ask it to look for patterns in structure and tone. Then—and this is crucial—we ask the AI to generate a detailed set of instructions that a new writer could use to consistently reproduce those patterns. We include those instructions and a bunch of examples in a prompt (often quite a large one, it's kinda expensive for us tbh). I think it works so much better than just giving examples or giving a broad overview of "style" because LLMs are trained to pay close attention to instructions and thrive on specificity. Here we ask the LLM to look for very specific patterns and generate equally specific instructions to reproduce those patterns. The other cool thing is unlike a fine-tuned model this is powered by a big-ass prompt that you can inspect and modify to your liking. Does it sound a little too enthusiastic? A bit cheesy? Just edit the prompt. Of course it's not perfect, it's still gonna need careful editing, but to us this feels like an obvious leap. I'd be really curious to hear if it feels the same to you. To start this is only available via our Kit integration but we'll start rolling it out more broadly soon. You can sign up at 👉 Would love your honest feedback!

Nathan Baschez

16,279 Aufrufe • vor 1 Jahr

I’ve tested dozens of AI video tools for ecommerce ads. Most still look obviously fake. They either distort the product, break character consistency, or completely miss the pacing that makes viral content actually work. Wizstar was the first one that genuinely surprised me. I tested Wizstar’s Wizstar_official Video Reference workflow using a viral-style ad, and honestly… I wasn’t ready for how accurate it would be. It didn’t just “generate a similar video.” It recreated the entire feel of a high-performing ad — the pacing, the transitions, the camera movements, even that subtle “social-first” storytelling rhythm that usually takes real creative teams to get right. And the wild part is… it still kept the product completely stable across brand-new scenes. No distortions. No weird AI shifts. Just clean, consistent visuals from start to finish. What really impressed me is that Video Reference isn’t just copying visuals at all. It actually analyzes the structure behind viral ecommerce content — things like: - how the hook is built, - how attention is retained across cuts, - and how emotion is paced through the video. Then it rebuilds that logic into a completely new ad, optimized for product testing and fast campaign iteration. And it feels like it understands performance content. The workflow also handled synchronized audiovisual timing surprisingly well — cuts land where they should, motion matches the sound, and the storytelling flow feels intentionally designed, not randomly generated. Combined with stable product consistency and influencer-style framing, the final output honestly felt closer to a real paid social campaign than anything I’d expect from an AI tool. What surprised me is that Wizstar isn’t powered by just one model—it orchestrates multiple top-tier AI models, including Seedance 2.0, and even supports face input out of the box. If you’re curious to try it yourself, you can test it here: New users get free credits, and the first membership is only $19 — plus a complimentary 30-second E-commerce Agent experience included. #Wizstar
0:38

I’ve tested dozens of AI video tools for ecommerce ads. Most still look obviously fake. They either distort the product, break character consistency, or completely miss the pacing that makes viral content actually work. Wizstar was the first one that genuinely surprised me. I tested Wizstar’s Wizstar_official Video Reference workflow using a viral-style ad, and honestly… I wasn’t ready for how accurate it would be. It didn’t just “generate a similar video.” It recreated the entire feel of a high-performing ad — the pacing, the transitions, the camera movements, even that subtle “social-first” storytelling rhythm that usually takes real creative teams to get right. And the wild part is… it still kept the product completely stable across brand-new scenes. No distortions. No weird AI shifts. Just clean, consistent visuals from start to finish. What really impressed me is that Video Reference isn’t just copying visuals at all. It actually analyzes the structure behind viral ecommerce content — things like: - how the hook is built, - how attention is retained across cuts, - and how emotion is paced through the video. Then it rebuilds that logic into a completely new ad, optimized for product testing and fast campaign iteration. And it feels like it understands performance content. The workflow also handled synchronized audiovisual timing surprisingly well — cuts land where they should, motion matches the sound, and the storytelling flow feels intentionally designed, not randomly generated. Combined with stable product consistency and influencer-style framing, the final output honestly felt closer to a real paid social campaign than anything I’d expect from an AI tool. What surprised me is that Wizstar isn’t powered by just one model—it orchestrates multiple top-tier AI models, including Seedance 2.0, and even supports face input out of the box. If you’re curious to try it yourself, you can test it here: New users get free credits, and the first membership is only $19 — plus a complimentary 30-second E-commerce Agent experience included. #Wizstar

Doreen

153,944 Aufrufe • vor 2 Monaten

200 participants. One survived. Every step decided their fate 🔥 I recreated a Squid Game-inspired survival story entirely with FlovaAI . Filmmaking is now as simple as writing a script and letting AI do the magic. The workflow is incredibly simple: ➛ Start with an idea and a script, then use Script to Video Skill. ➛ Flova analyzes your script, generates consistent characters and visual assets, and transforms the entire story into cinematic video scenes with remarkable quality. From character creation to final video generation, the process is smooth, fast, and delivers results that often exceed expectations. Made with the Script to Video skill on FlovaAI Prompt: Storyboard 1 – The Selection Visual: A gigantic underground concrete hall with cold white industrial lighting. 200 contestants in identical green tracksuits stand in perfectly straight rows. Black masked guards carrying rifles surround them. Every contestant shows different emotions—fear, anxiety, determination, hopelessness. A giant digital countdown glows red above them. Camera: Slow drone shot descending from the ceiling into a close-up of terrified faces. Mood: Silent, tense, intimidating. Duration: 6–7 seconds. Storyboard 2 – The Rules Visual: Massive steel doors slowly slide open, revealing a breathtaking glass bridge suspended over a bottomless abyss. Thick fog swirls below. Powerful spotlights illuminate alternating glass panels. Camera: Wide cinematic reveal followed by a slow push toward the bridge. Mood: Mystery and overwhelming fear. Duration: 6–7 seconds. Storyboard 3 – First Decision Visual: The first contestant slowly steps onto the bridge. Their foot trembles inches above two identical glass panels. Sweat drips from their face. Everyone behind watches in complete silence. Camera: Extreme close-up of the foot, then over-the-shoulder shot toward the endless bridge. Mood: Heart-pounding suspense. Duration: 6–7 seconds. Storyboard 4 – First Elimination Visual: Another contestant chooses the wrong panel. The glass explodes into thousands of realistic shards. The contestant falls into the darkness while everyone screams in horror. Camera: Ultra slow motion tracking every glass fragment before switching to shocked reactions. Mood: Chaos and terror. Duration: 6–7 seconds. Storyboard 5 – Survival Instinct Visual: Contestants begin memorizing the safe path while others panic. One player helps a frightened teammate across a dangerous jump as the countdown continues. Camera: Fast tracking shots mixed with emotional close-ups. Mood: Hope versus desperation. Duration: 6–7 seconds. Storyboard 6 – Betrayal Visual: A desperate contestant suddenly pushes another player onto an uncertain glass panel. It instantly shatters, sending them into the abyss. The pusher freezes in guilt while others stare in disbelief. Camera: Handheld close-up followed by dramatic slow-motion. Mood: Brutal betrayal. Duration: 6–7 seconds. Storyboard 7 – Final Two Visual: Only two exhausted contestants remain. Their clothes are torn, faces bruised, breathing heavily. A giant timer flashes its final seconds above them. Camera: Wide symmetrical shot followed by alternating close-ups of both faces. Mood: Maximum tension. Duration: 6–7 seconds. Storyboard 8 – The Final Leap Visual: One contestant leaps toward the final glass panel. Time slows. Glass bends under their weight but holds. The other contestant jumps onto the wrong panel and disappears into darkness. Camera: 360° cinematic rotation with ultra slow motion. Mood: Climactic and emotional. Duration: 6–7 seconds. Storyboard 9 – The Sole Survivor Visual: The lone survivor walks toward a gigantic steel vault door. It slowly opens, flooding the arena with brilliant golden sunlight. Above, masked VIP spectators silently applaud from luxurious balconies. The survivor walks into the light without looking back. Camera: Low-angle tracking shot transitioning into a massive aerial pullback. #FlovaAI #FlovaCPP | FlovaAI_Japan
1:01

200 participants. One survived. Every step decided their fate 🔥 I recreated a Squid Game-inspired survival story entirely with FlovaAI . Filmmaking is now as simple as writing a script and letting AI do the magic. The workflow is incredibly simple: ➛ Start with an idea and a script, then use Script to Video Skill. ➛ Flova analyzes your script, generates consistent characters and visual assets, and transforms the entire story into cinematic video scenes with remarkable quality. From character creation to final video generation, the process is smooth, fast, and delivers results that often exceed expectations. Made with the Script to Video skill on FlovaAI Prompt: Storyboard 1 – The Selection Visual: A gigantic underground concrete hall with cold white industrial lighting. 200 contestants in identical green tracksuits stand in perfectly straight rows. Black masked guards carrying rifles surround them. Every contestant shows different emotions—fear, anxiety, determination, hopelessness. A giant digital countdown glows red above them. Camera: Slow drone shot descending from the ceiling into a close-up of terrified faces. Mood: Silent, tense, intimidating. Duration: 6–7 seconds. Storyboard 2 – The Rules Visual: Massive steel doors slowly slide open, revealing a breathtaking glass bridge suspended over a bottomless abyss. Thick fog swirls below. Powerful spotlights illuminate alternating glass panels. Camera: Wide cinematic reveal followed by a slow push toward the bridge. Mood: Mystery and overwhelming fear. Duration: 6–7 seconds. Storyboard 3 – First Decision Visual: The first contestant slowly steps onto the bridge. Their foot trembles inches above two identical glass panels. Sweat drips from their face. Everyone behind watches in complete silence. Camera: Extreme close-up of the foot, then over-the-shoulder shot toward the endless bridge. Mood: Heart-pounding suspense. Duration: 6–7 seconds. Storyboard 4 – First Elimination Visual: Another contestant chooses the wrong panel. The glass explodes into thousands of realistic shards. The contestant falls into the darkness while everyone screams in horror. Camera: Ultra slow motion tracking every glass fragment before switching to shocked reactions. Mood: Chaos and terror. Duration: 6–7 seconds. Storyboard 5 – Survival Instinct Visual: Contestants begin memorizing the safe path while others panic. One player helps a frightened teammate across a dangerous jump as the countdown continues. Camera: Fast tracking shots mixed with emotional close-ups. Mood: Hope versus desperation. Duration: 6–7 seconds. Storyboard 6 – Betrayal Visual: A desperate contestant suddenly pushes another player onto an uncertain glass panel. It instantly shatters, sending them into the abyss. The pusher freezes in guilt while others stare in disbelief. Camera: Handheld close-up followed by dramatic slow-motion. Mood: Brutal betrayal. Duration: 6–7 seconds. Storyboard 7 – Final Two Visual: Only two exhausted contestants remain. Their clothes are torn, faces bruised, breathing heavily. A giant timer flashes its final seconds above them. Camera: Wide symmetrical shot followed by alternating close-ups of both faces. Mood: Maximum tension. Duration: 6–7 seconds. Storyboard 8 – The Final Leap Visual: One contestant leaps toward the final glass panel. Time slows. Glass bends under their weight but holds. The other contestant jumps onto the wrong panel and disappears into darkness. Camera: 360° cinematic rotation with ultra slow motion. Mood: Climactic and emotional. Duration: 6–7 seconds. Storyboard 9 – The Sole Survivor Visual: The lone survivor walks toward a gigantic steel vault door. It slowly opens, flooding the arena with brilliant golden sunlight. Above, masked VIP spectators silently applaud from luxurious balconies. The survivor walks into the light without looking back. Camera: Low-angle tracking shot transitioning into a massive aerial pullback. #FlovaAI #FlovaCPP | FlovaAI_Japan

Ai Arainz

79,082 Aufrufe • vor 16 Tagen

Kevin Kelly (Kevin Kelly) has spent more time thinking about the future than almost anyone else. From VR in the 1980s to the blockchain in the 2000s—and now generative AI—Kevin has spent a lifetime journeying to the frontiers of technology, only to return with rich stories about what’s next. Today, as WIRED’s senior maverick, his project for 2025 is to outline what the next century looks like in a world shaped by new technologies like AI and genetic engineering. He’s a personal hero of mine—not to mention a fellow Annie Dillard fan—and it was a privilege to have him on AI & I. We get into: - How you can predict the future. According to Kevin, the draw of new frontiers—from the first edition of Burning Man and remote corners of Asia, to the early days of the internet and AI—isn’t staying at the edge forever; it's returning with a story to tell. - Why history is so important to help you understand the future. To stay grounded while exploring what’s new, Kevin balances the thrill of the future with the wisdom of the past. He pairs AI research with reading about history, and playing with an AI tool by retreating to his workshop to make something with his hands. - From 1,000 true fans to an audience of one. Rather than creating for an audience, Kevin has been using LLMs to explore his own imagination. After realizing that da Vinci, Martin Luther, and Columbus were alive at the same time, he asked ChatGPT to imagine them snowed in at a hotel together, and the prompt spiraled into an epic saga, co-written with AI. But he has no plans to publish it because the joy was in creating something just for himself. - What the history of electricity can teach us about AI. Kevin draws a parallel between AI and the early days of electricity. We could produce electric sparks long before we understood the forces that created them, and now we’re building intelligent machines without really understanding what intelligence is. - Why Kevin sees intelligence as a mosaic—not a monolith. Kevin believes intelligence isn’t a single force, but a compound of many cognitive elements. He draws from Marvin Minsky’s “society of mind”—the theory that the mind is made up of smaller agents working together—and sees echoes of this in the Mixture of Experts architecture used in some models today. - Your competitive advantage is being yourself. Don’t aim to be the best—aim to be the only. Kevin realized that the stories no one else at Wired wanted to write were often the ones he was suited for, and trusting that instinct led to some of his best work. This is a must-watch for anyone who wants to make sense of AI through the lens of history, learn how to spot the future before it arrives, or grew up reading Wired. Watch below! Timestamps: 1. 00:00:50 - Introduction 2. 00:01:10 - Why Dan and Kelly love Annie Dillard 3. 00:12:52 - Learn how to predict the future like Kelly 4. 00:16:10 - What the history of electricity can teach us about AI 5. 00:20:13 - How Kelly thinks about the nature of intelligence 6. 00:25:44 - Kelly's advice on discovering your competitive advantage 7. 00:29:33 - The story of how Kelly assembled a bench of star writers for Wired 8. 00:34:43 - How Kelly used ChatGPT to co-create a book 9. 00:39:12 - Using AI as a mirror for your mind 10. 00:43:43 - What Kelly learned from betting on VR in the 1980s
53:41

Kevin Kelly (Kevin Kelly) has spent more time thinking about the future than almost anyone else. From VR in the 1980s to the blockchain in the 2000s—and now generative AI—Kevin has spent a lifetime journeying to the frontiers of technology, only to return with rich stories about what’s next. Today, as WIRED’s senior maverick, his project for 2025 is to outline what the next century looks like in a world shaped by new technologies like AI and genetic engineering. He’s a personal hero of mine—not to mention a fellow Annie Dillard fan—and it was a privilege to have him on AI & I. We get into: - How you can predict the future. According to Kevin, the draw of new frontiers—from the first edition of Burning Man and remote corners of Asia, to the early days of the internet and AI—isn’t staying at the edge forever; it's returning with a story to tell. - Why history is so important to help you understand the future. To stay grounded while exploring what’s new, Kevin balances the thrill of the future with the wisdom of the past. He pairs AI research with reading about history, and playing with an AI tool by retreating to his workshop to make something with his hands. - From 1,000 true fans to an audience of one. Rather than creating for an audience, Kevin has been using LLMs to explore his own imagination. After realizing that da Vinci, Martin Luther, and Columbus were alive at the same time, he asked ChatGPT to imagine them snowed in at a hotel together, and the prompt spiraled into an epic saga, co-written with AI. But he has no plans to publish it because the joy was in creating something just for himself. - What the history of electricity can teach us about AI. Kevin draws a parallel between AI and the early days of electricity. We could produce electric sparks long before we understood the forces that created them, and now we’re building intelligent machines without really understanding what intelligence is. - Why Kevin sees intelligence as a mosaic—not a monolith. Kevin believes intelligence isn’t a single force, but a compound of many cognitive elements. He draws from Marvin Minsky’s “society of mind”—the theory that the mind is made up of smaller agents working together—and sees echoes of this in the Mixture of Experts architecture used in some models today. - Your competitive advantage is being yourself. Don’t aim to be the best—aim to be the only. Kevin realized that the stories no one else at Wired wanted to write were often the ones he was suited for, and trusting that instinct led to some of his best work. This is a must-watch for anyone who wants to make sense of AI through the lens of history, learn how to spot the future before it arrives, or grew up reading Wired. Watch below! Timestamps: 1. 00:00:50 - Introduction 2. 00:01:10 - Why Dan and Kelly love Annie Dillard 3. 00:12:52 - Learn how to predict the future like Kelly 4. 00:16:10 - What the history of electricity can teach us about AI 5. 00:20:13 - How Kelly thinks about the nature of intelligence 6. 00:25:44 - Kelly's advice on discovering your competitive advantage 7. 00:29:33 - The story of how Kelly assembled a bench of star writers for Wired 8. 00:34:43 - How Kelly used ChatGPT to co-create a book 9. 00:39:12 - Using AI as a mirror for your mind 10. 00:43:43 - What Kelly learned from betting on VR in the 1980s

Dan Shipper 📧

67,883 Aufrufe • vor 1 Jahr

Chamath said AI is not like the internet. Every new user costs real money. And the infrastructure making it possible was built by everyone. His argument was the clearest case for government ownership of AI labs I have ever heard. And it had nothing to do with Bernie Sanders. Start with the internet comparison. Google and Facebook became the most profitable companies in human history because of one number. The marginal cost of adding a new user was effectively zero. One more search query cost Google nothing. One more Facebook profile cost Meta nothing. They could serve a billion people and the incremental cost of that billion person was rounding error. That is the money printer. Infinite scale at zero marginal cost. AI breaks that model completely. Every single user taxes a GPU. Every query costs electricity. Every response requires memory and compute. The marginal cost of AI is real, significant, and does not disappear at scale. You cannot print money the same way. Then Chamath made the point that landed hardest. The infrastructure these companies depend on, the power grid, the land, the data centers, the permitting, the national security apparatus that protects their chips from being stolen, none of that was built by Anthropic or OpenAI. It was built by the public. By taxpayers. By decades of government investment in the physical and legal foundation these companies are now running on. He compared it to the interstate highway system. If the federal government built the roads and two companies transported all the goods on them, a logical question at that point would be how much of that should I own? You are riding on my rails. His conclusion was direct. If he were running a sovereign wealth fund and had the negotiating leverage of the US government, he would own 75% of these companies when he was done. The internet had zero marginal cost. That is why the founders captured almost all of the value. AI has real marginal cost and runs on public infrastructure. That changes who has a claim on what gets built. WATCH THE FULL PODCAST ON The All-In Podcast
2:26

Chamath said AI is not like the internet. Every new user costs real money. And the infrastructure making it possible was built by everyone. His argument was the clearest case for government ownership of AI labs I have ever heard. And it had nothing to do with Bernie Sanders. Start with the internet comparison. Google and Facebook became the most profitable companies in human history because of one number. The marginal cost of adding a new user was effectively zero. One more search query cost Google nothing. One more Facebook profile cost Meta nothing. They could serve a billion people and the incremental cost of that billion person was rounding error. That is the money printer. Infinite scale at zero marginal cost. AI breaks that model completely. Every single user taxes a GPU. Every query costs electricity. Every response requires memory and compute. The marginal cost of AI is real, significant, and does not disappear at scale. You cannot print money the same way. Then Chamath made the point that landed hardest. The infrastructure these companies depend on, the power grid, the land, the data centers, the permitting, the national security apparatus that protects their chips from being stolen, none of that was built by Anthropic or OpenAI. It was built by the public. By taxpayers. By decades of government investment in the physical and legal foundation these companies are now running on. He compared it to the interstate highway system. If the federal government built the roads and two companies transported all the goods on them, a logical question at that point would be how much of that should I own? You are riding on my rails. His conclusion was direct. If he were running a sovereign wealth fund and had the negotiating leverage of the US government, he would own 75% of these companies when he was done. The internet had zero marginal cost. That is why the founders captured almost all of the value. AI has real marginal cost and runs on public infrastructure. That changes who has a claim on what gets built. WATCH THE FULL PODCAST ON The All-In Podcast

Ihtesham Ali

79,066 Aufrufe • vor 1 Monat

One shirt. 10 outfits. Infinite possibilities. Which look are you wearing first? 👀👇 Made with Seedance 2.0 on BudgetPixel AI Prompt: > Create a trendy, ultra-realistic Instagram fashion reel featuring a stylish Gen Z female influencer showing **10 ways to style the same oversized pastel yellow button-up shirt**. No dialogue, only upbeat viral pop music with clean animated text labels for each look. Vertical 9:16. > > Open with the influencer holding the shirt on a hanger in a bright, minimalist apartment. She smiles at the camera and tosses the shirt forward as the text **"1 Shirt 🤍 10 Ways to Style"** appears. > > Fast-paced fashion montage with smooth whip pans, spin transitions, jump cuts, and snap transitions. > > Show these looks: > > 1. Casual Chic – open over a white crop top with wide-leg jeans. > 2. Front Knot – tied at the waist with denim. > 3. Off Shoulder – relaxed styling with sunglasses. > 4. Tucked In – tucked into tailored white trousers with a belt. > 5. Open with Denim Shorts – casual summer look with an iced coffee. > 6. Belted Chic – fully buttoned with a slim belt and black tailored trousers. > 7. Layered Dress – worn open over a fitted white midi dress. > 8. French Tuck – half-buttoned with rolled sleeves and relaxed jeans. > 9. Effortless Layers – draped over the shoulders with white linen trousers and a black tank. > 10. Monochrome Minimal – buttoned with cream wide-leg trousers for a clean luxury look. > > Throughout the video, show the influencer confidently walking, posing, spinning, adjusting the collar and sleeves, fixing sunglasses, holding a coffee, checking herself in a mirror, and smiling naturally. Mix full-body shots, medium shots, close-ups of fabric, accessories, and outfit details. > > Bright natural daylight, warm minimalist interiors, luxury Pinterest aesthetic, cinematic handheld camera movement, shallow depth of field, realistic fabric physics, premium editorial fashion photography, smooth transitions, ultra-realistic 4K HDR. > > End with a quick collage of all 10 looks surrounding the final outfit and the text: **"10 Looks. 1 Shirt. 🤍 Which one's your favorite?"**
0:30

One shirt. 10 outfits. Infinite possibilities. Which look are you wearing first? 👀👇 Made with Seedance 2.0 on BudgetPixel AI Prompt: > Create a trendy, ultra-realistic Instagram fashion reel featuring a stylish Gen Z female influencer showing **10 ways to style the same oversized pastel yellow button-up shirt**. No dialogue, only upbeat viral pop music with clean animated text labels for each look. Vertical 9:16. > > Open with the influencer holding the shirt on a hanger in a bright, minimalist apartment. She smiles at the camera and tosses the shirt forward as the text **"1 Shirt 🤍 10 Ways to Style"** appears. > > Fast-paced fashion montage with smooth whip pans, spin transitions, jump cuts, and snap transitions. > > Show these looks: > > 1. Casual Chic – open over a white crop top with wide-leg jeans. > 2. Front Knot – tied at the waist with denim. > 3. Off Shoulder – relaxed styling with sunglasses. > 4. Tucked In – tucked into tailored white trousers with a belt. > 5. Open with Denim Shorts – casual summer look with an iced coffee. > 6. Belted Chic – fully buttoned with a slim belt and black tailored trousers. > 7. Layered Dress – worn open over a fitted white midi dress. > 8. French Tuck – half-buttoned with rolled sleeves and relaxed jeans. > 9. Effortless Layers – draped over the shoulders with white linen trousers and a black tank. > 10. Monochrome Minimal – buttoned with cream wide-leg trousers for a clean luxury look. > > Throughout the video, show the influencer confidently walking, posing, spinning, adjusting the collar and sleeves, fixing sunglasses, holding a coffee, checking herself in a mirror, and smiling naturally. Mix full-body shots, medium shots, close-ups of fabric, accessories, and outfit details. > > Bright natural daylight, warm minimalist interiors, luxury Pinterest aesthetic, cinematic handheld camera movement, shallow depth of field, realistic fabric physics, premium editorial fashion photography, smooth transitions, ultra-realistic 4K HDR. > > End with a quick collage of all 10 looks surrounding the final outfit and the text: **"10 Looks. 1 Shirt. 🤍 Which one's your favorite?"**

Maria

33,832 Aufrufe • vor 1 Monat

Here's my first series of Anime created by Generative AI. Vidu 2.0 is a groundbreaking advancement for storytelling in the Anime style. #vidu @Viduforhuman Hi everyone 😊 😉 Here's my first AI-created Anime series. The name of my anime is Kuro & Yuki. I won't spoil the story for you, but it begins with these two boys locked up in what appears to be a highly secure institute/prison. Yuki has reached the age where he has awakened his power. While wandering the corridors of the institute, he meets Kuro, a boy with autism. It's a fleeting encounter as they end up being separated. As the story unfolds, you'll understand who they really are and why they are locked up. I don't plan on making episode 2 yet, even though I've grown attached to my characters' story. I'll continue the story only if a lot of people are interested and want to know what happens next. Otherwise, I'll explore other universes and styles of Anime 😉 Tools: - Epidemic Sound (For sound effects) - Vidu AI (to transform frames into animation) - ElevenLabs (for certain expressions) When I say Vidu 2.0 is a game-changer, I mean it. I had already made my animation with the previous version of Vidu, but when they gave me access to the beta, I urgently changed my plans and recreated all the animations. Let me tell you, it's a whole new level. My first animation was ultra frustrating to bring my ideas to life! Really! And since Vidu couldn't handle many image styles, I clearly couldn't bring my ideas to life. But with Vidu 2.0, I enjoy it much more! For the first time, I really get to bring my ideas to life! Until now, I always had to make compromises. Of course, Vidu is still not perfect, and there are still many obstacles, but it is a truly magnificent advancement! (and it surpasses all the Anime-style AIs I've tested recently) Moreover, Vidu 2.0 is fantastic for special effects, but also for embedding elements into the video (like a hand that appears and interacts with the character, or another character; and the best part is that they perfectly match the style of the original images!) * The animations/images and voices are AI-generated * The SoundDesign is traditional and done by me * The story was entirely written by me (I don't use AI to create my stories, it's important to me to write them myself) The voices were generated thanks to Nijivoice (for secondary characters) and Hailuo Audio (for main characters). I thank Yachimat (yachimat - AI Short Anime) for introducing me to Nijivoice, it's very generous of him! During the beta, we didn't consume credits, otherwise, this animation would have cost me around 20,000 credits, ha ha. Vidu 2.0, with its superb stability and fidelity to the style of images, offers brand new horizons for storytelling! One problem with Vidu 2.0 is that for now, you have to manually extend videos (by exporting the last frame). As you can see, this allowed me to create long scenes with different actions, and everything fits together perfectly! There are still many obstacles to storytelling, such as character consistency (I use the image to video function; I produce my images with Nijijourney) and it's always laborious to have a consistent character! The same goes for backgrounds. Here are the points I've identified that would facilitate storytelling: For Vidu: - Function to extend videos (you can already do this manually by exporting the last frame) - Function to invent the beginning or end of a video using a single frame (you can already do this manually by putting a completely white or completely black image as the first or last frame; this technique also allows you to have very dynamic results with Vidu 2.0! ) - It's difficult to obtain facial expressions for certain image styles (the same image style that the previous version couldn't handle at all). - More dynamism There's always room for improvement, but Vidu 2.0 has truly opened up exciting new possibilities for creative storytelling. ai aiart aianimation aianime ainews anime animenews aitools aitool
4:52

Here's my first series of Anime created by Generative AI. Vidu 2.0 is a groundbreaking advancement for storytelling in the Anime style. #vidu @Viduforhuman Hi everyone 😊 😉 Here's my first AI-created Anime series. The name of my anime is Kuro & Yuki. I won't spoil the story for you, but it begins with these two boys locked up in what appears to be a highly secure institute/prison. Yuki has reached the age where he has awakened his power. While wandering the corridors of the institute, he meets Kuro, a boy with autism. It's a fleeting encounter as they end up being separated. As the story unfolds, you'll understand who they really are and why they are locked up. I don't plan on making episode 2 yet, even though I've grown attached to my characters' story. I'll continue the story only if a lot of people are interested and want to know what happens next. Otherwise, I'll explore other universes and styles of Anime 😉 Tools: - Epidemic Sound (For sound effects) - Vidu AI (to transform frames into animation) - ElevenLabs (for certain expressions) When I say Vidu 2.0 is a game-changer, I mean it. I had already made my animation with the previous version of Vidu, but when they gave me access to the beta, I urgently changed my plans and recreated all the animations. Let me tell you, it's a whole new level. My first animation was ultra frustrating to bring my ideas to life! Really! And since Vidu couldn't handle many image styles, I clearly couldn't bring my ideas to life. But with Vidu 2.0, I enjoy it much more! For the first time, I really get to bring my ideas to life! Until now, I always had to make compromises. Of course, Vidu is still not perfect, and there are still many obstacles, but it is a truly magnificent advancement! (and it surpasses all the Anime-style AIs I've tested recently) Moreover, Vidu 2.0 is fantastic for special effects, but also for embedding elements into the video (like a hand that appears and interacts with the character, or another character; and the best part is that they perfectly match the style of the original images!) * The animations/images and voices are AI-generated * The SoundDesign is traditional and done by me * The story was entirely written by me (I don't use AI to create my stories, it's important to me to write them myself) The voices were generated thanks to Nijivoice (for secondary characters) and Hailuo Audio (for main characters). I thank Yachimat (yachimat - AI Short Anime) for introducing me to Nijivoice, it's very generous of him! During the beta, we didn't consume credits, otherwise, this animation would have cost me around 20,000 credits, ha ha. Vidu 2.0, with its superb stability and fidelity to the style of images, offers brand new horizons for storytelling! One problem with Vidu 2.0 is that for now, you have to manually extend videos (by exporting the last frame). As you can see, this allowed me to create long scenes with different actions, and everything fits together perfectly! There are still many obstacles to storytelling, such as character consistency (I use the image to video function; I produce my images with Nijijourney) and it's always laborious to have a consistent character! The same goes for backgrounds. Here are the points I've identified that would facilitate storytelling: For Vidu: - Function to extend videos (you can already do this manually by exporting the last frame) - Function to invent the beginning or end of a video using a single frame (you can already do this manually by putting a completely white or completely black image as the first or last frame; this technique also allows you to have very dynamic results with Vidu 2.0! ) - It's difficult to obtain facial expressions for certain image styles (the same image style that the previous version couldn't handle at all). - More dynamism There's always room for improvement, but Vidu 2.0 has truly opened up exciting new possibilities for creative storytelling. ai aiart aianimation aianime ainews anime animenews aitools aitool

Naegiko

66,492 Aufrufe • vor 1 Jahr

Introducing MemSync, the first unified memory layer that works across all your apps and AI agents. We're backed by a16z crypto, SV Angel, Coinbase 🛡️ Ventures, and the co-creator of the Transformer architecture, Illia (root.near) (🇺🇦, ⋈). MemSync is like Plaid for memory, enabling you to carry your personal memory across every AI agent. How it works: 1. Learn. MemSync learns key facts about you from each conversation. 2. Lock. Those facts go into a vault that only you control — no one else touches them. 3. Sync. Next time you open a new chat, MemSync grabs the right facts and feeds them to the agent so you can pick up right where you left off. We built MemSync after hearing from 1M+ BitQuant users who faced 3 brutal pains: 1. Re-teaching every chatbot who you are. Now, your portable profile follows you into ChatGPT, Claude, and more. 2. Prompt history is easy to lose. MemSync surfaces every past gem with ⌘-I — no more digging through histories. 3. Amnesia. MemSync bridges token limits so long chats stay sharp (without blowing your token budget). If you’ve made it this far, we have a surprise for you. 👇 First 500 to comment "MemSync" get 30 days of Pro for free. (Link below)
0:49

Introducing MemSync, the first unified memory layer that works across all your apps and AI agents. We're backed by a16z crypto, SV Angel, Coinbase 🛡️ Ventures, and the co-creator of the Transformer architecture, Illia (root.near) (🇺🇦, ⋈). MemSync is like Plaid for memory, enabling you to carry your personal memory across every AI agent. How it works: 1. Learn. MemSync learns key facts about you from each conversation. 2. Lock. Those facts go into a vault that only you control — no one else touches them. 3. Sync. Next time you open a new chat, MemSync grabs the right facts and feeds them to the agent so you can pick up right where you left off. We built MemSync after hearing from 1M+ BitQuant users who faced 3 brutal pains: 1. Re-teaching every chatbot who you are. Now, your portable profile follows you into ChatGPT, Claude, and more. 2. Prompt history is easy to lose. MemSync surfaces every past gem with ⌘-I — no more digging through histories. 3. Amnesia. MemSync bridges token limits so long chats stay sharp (without blowing your token budget). If you’ve made it this far, we have a surprise for you. 👇 First 500 to comment "MemSync" get 30 days of Pro for free. (Link below)

MemSync

33,079 Aufrufe • vor 1 Jahr

someone is going to make millions with this in 2026 99% of people think this is a real human (or they fail to notice it’s an ai-generated video) but this video is completely ai-generated, including the background music. let me teach you how to create this in a few minutes follow this workflow step by step: first, create the base image of your ai influencer using nb pro. this is currently the best tool for character consistency i used a json prompt to generate the base image then i turn it into video (i will share the exact json prompt with you in this thread) now, to generate the video paste this prompt into google veo using the “frame to video” option “a man in his 40s sits on a 1980s living room couch, looking directly at the camera with a serious expression. he gestures naturally with one hand as he speaks in vintage tv broadcast aesthetic: "today is october 12th, 1985. what i'm about to tell you will sound impossible... but mark my words, these three predictions will come true. no background music, no sound effects” next, i gave it a chunk of script, i only changed the script dialogue each time and kept the rest of the prompt exactly the same using this method, you also get a little consintent voiceover here is the format for you to use: [character description] + [visual style] + [dialogue of your script for under 8 seconds] for example, for the next part dialogue; [A man in his 40s sits on a 1980s living room couch, looking directly at the camera with a serious expression. He gestures naturally with one hand as he speaks in Vintage TV broadcast aesthetic: "but mark my words, these three predictions will come true... ONE: You will carry a device no bigger than a playing card that holds ten thousand songs" ] rest things i adjusted in the editing, now how to clone the audio for these several clips we just generated? i got the best audio from the very first clip i generated using veo 3 but here is the trick: - export that clip to a video editor - detach the audio of it - duplicate it to make it 10+ seconds long - clone the voice over using elevenlabs (go to 11Labs-> click on voices-> click on "create or clone a voice" button in the top right side) (i named mine “1985 ai influencer” inside 11labs) then, finally export all your video clips into your video editor detach the audios of all clips, and export it to 11Labs to clone it with that "1985 AI Influencer" voice once you dubbed it, import it back to your editor that’s it. there are endless use cases where you can use such an ai influencer like this to promote your biz: - skincare - weight loss & nutrition - psychology and mental health - marketing and sales - predictions (like this video) - making money & career growth - dating, parenting, and so on… there are a few people already started using such ai influencers, you are just behind them, you can find their pages on instagram don't be lazy, create one such an ai influencer for your targeted biz 2026 is going to be yours
0:40

someone is going to make millions with this in 2026 99% of people think this is a real human (or they fail to notice it’s an ai-generated video) but this video is completely ai-generated, including the background music. let me teach you how to create this in a few minutes follow this workflow step by step: first, create the base image of your ai influencer using nb pro. this is currently the best tool for character consistency i used a json prompt to generate the base image then i turn it into video (i will share the exact json prompt with you in this thread) now, to generate the video paste this prompt into google veo using the “frame to video” option “a man in his 40s sits on a 1980s living room couch, looking directly at the camera with a serious expression. he gestures naturally with one hand as he speaks in vintage tv broadcast aesthetic: "today is october 12th, 1985. what i'm about to tell you will sound impossible... but mark my words, these three predictions will come true. no background music, no sound effects” next, i gave it a chunk of script, i only changed the script dialogue each time and kept the rest of the prompt exactly the same using this method, you also get a little consintent voiceover here is the format for you to use: [character description] + [visual style] + [dialogue of your script for under 8 seconds] for example, for the next part dialogue; [A man in his 40s sits on a 1980s living room couch, looking directly at the camera with a serious expression. He gestures naturally with one hand as he speaks in Vintage TV broadcast aesthetic: "but mark my words, these three predictions will come true... ONE: You will carry a device no bigger than a playing card that holds ten thousand songs" ] rest things i adjusted in the editing, now how to clone the audio for these several clips we just generated? i got the best audio from the very first clip i generated using veo 3 but here is the trick: - export that clip to a video editor - detach the audio of it - duplicate it to make it 10+ seconds long - clone the voice over using elevenlabs (go to 11Labs-> click on voices-> click on "create or clone a voice" button in the top right side) (i named mine “1985 ai influencer” inside 11labs) then, finally export all your video clips into your video editor detach the audios of all clips, and export it to 11Labs to clone it with that "1985 AI Influencer" voice once you dubbed it, import it back to your editor that’s it. there are endless use cases where you can use such an ai influencer like this to promote your biz: - skincare - weight loss & nutrition - psychology and mental health - marketing and sales - predictions (like this video) - making money & career growth - dating, parenting, and so on… there are a few people already started using such ai influencers, you are just behind them, you can find their pages on instagram don't be lazy, create one such an ai influencer for your targeted biz 2026 is going to be yours

ViralOps

14,302 Aufrufe • vor 7 Monaten

I vibe coded and built a sprite animation pipeline 🛠️ (Day 22 of making the engine+game) ⬇️ Watch the video if you don't wanna read the wall of text - it directly shows what I do. Shoutout to Jidé ✨ for showing me a paper on black/white combination to get alpha, it's the cleanest method yet, and to Cursor for enabling this entire journey. If you prefer the wall of text here you go: The hardest part of using general image models for 2D sprites isn’t getting a nice-looking frame, it’s getting consistent motion across a whole sprite sheet. You can fake a sheet, but frames won’t align, timing drifts, and you end up with weird artifacts. Even if you manually cut frames + interpolate, the animation often looks “off” because each frame is basically a new interpretation, not the same character evolving over time. This is especially noticeable with public API models like gpt-image-1.5 and Nano Banana. Some custom LoRAs for open models exist, but this is intended for less techy folks. My workaround: use a video model first, then post-process into a sprite sheet. Render the animation over a solid background (white/black/magenta/green), then chroma-key it out (my engine tool supports this). If the motion stays inside the silhouette, this works surprisingly well. You can do this in almost any video editing software too! The catch: keying almost always leaves an “aura” (edge spill). My best results come from interpolating the keyed animation with a clean base sprite, so you keep crisp edges and only “borrow” motion/detail where needed. If the animation extends outside the silhouette (tree branches, hair wisps, foliage), I usually skip “true sprite animation” and do it with shaders instead. Keying can’t fully remove halos there, no matter how much feathering/tuning you do. Another annoying issue: pixel corruption. AI rarely generates a perfectly flat background (pure #000000 or #FF00FF). That tiny noise breaks clean extraction and creates crawling garbage pixels around the subject. For clean base sprites (and even PBR maps), a useful trick is generating the same asset on white + black backgrounds and deriving alpha from the difference. This is basically a matte workflow: white = opaque, black = transparent. It fixes aura… but you’d need it per-frame to fix animation, which is still hard. For simple pixel art (single-digit frames), you can sometimes generate a sprite sheet, then ask the model to recreate it on black/white while preserving alignment… but it’s still manual-heavy. Honestly, at this point, for some projects it’s easier to go 3D → 2D and render clean sprites/maps directly. But I still love pushing “pure 2D” and seeing how far we can take it. Thanks for reading! Follow/bookmark/repost if interested in this kind of content!
3:33

I vibe coded and built a sprite animation pipeline 🛠️ (Day 22 of making the engine+game) ⬇️ Watch the video if you don't wanna read the wall of text - it directly shows what I do. Shoutout to Jidé ✨ for showing me a paper on black/white combination to get alpha, it's the cleanest method yet, and to Cursor for enabling this entire journey. If you prefer the wall of text here you go: The hardest part of using general image models for 2D sprites isn’t getting a nice-looking frame, it’s getting consistent motion across a whole sprite sheet. You can fake a sheet, but frames won’t align, timing drifts, and you end up with weird artifacts. Even if you manually cut frames + interpolate, the animation often looks “off” because each frame is basically a new interpretation, not the same character evolving over time. This is especially noticeable with public API models like gpt-image-1.5 and Nano Banana. Some custom LoRAs for open models exist, but this is intended for less techy folks. My workaround: use a video model first, then post-process into a sprite sheet. Render the animation over a solid background (white/black/magenta/green), then chroma-key it out (my engine tool supports this). If the motion stays inside the silhouette, this works surprisingly well. You can do this in almost any video editing software too! The catch: keying almost always leaves an “aura” (edge spill). My best results come from interpolating the keyed animation with a clean base sprite, so you keep crisp edges and only “borrow” motion/detail where needed. If the animation extends outside the silhouette (tree branches, hair wisps, foliage), I usually skip “true sprite animation” and do it with shaders instead. Keying can’t fully remove halos there, no matter how much feathering/tuning you do. Another annoying issue: pixel corruption. AI rarely generates a perfectly flat background (pure #000000 or #FF00FF). That tiny noise breaks clean extraction and creates crawling garbage pixels around the subject. For clean base sprites (and even PBR maps), a useful trick is generating the same asset on white + black backgrounds and deriving alpha from the difference. This is basically a matte workflow: white = opaque, black = transparent. It fixes aura… but you’d need it per-frame to fix animation, which is still hard. For simple pixel art (single-digit frames), you can sometimes generate a sprite sheet, then ask the model to recreate it on black/white while preserving alignment… but it’s still manual-heavy. Honestly, at this point, for some projects it’s easier to go 3D → 2D and render clean sprites/maps directly. But I still love pushing “pure 2D” and seeing how far we can take it. Thanks for reading! Follow/bookmark/repost if interested in this kind of content!

Startracker 🔺

20,181 Aufrufe • vor 6 Monaten