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Claude Code can ship a 45-second animated explainer ad in 30 minutes. No video editor needed, just CC + skills. Here's how I made this video for Soteri Skin 👇 1. /plan Concept Brief (Claude Code) I handwrite a concept brief, then chat with the agent to iterate on... it. The agent gathers any raw materials we might need - context about the brand, product images, end card, etc. The concept brief details the concept, characters, visual style, script, etc 2. /prepare a moodboard (CC + GPT Image 2 + ElevenLabs) After reviewing the script, generate: - character reference images - voiceover samples for the characters / narrator - the storyboard (scene by scene grid) - a few keyframe scenes 3. /generate Keyframes for each scene (CC uses Nano Banana or GPT Image 2) Uses the character references from the previous step to generate keyframes for each scene. I probably should have done a round of iteration at this step – there's some character drift and the pH meter representation could have been better. 4. /animate Keyframe → Animated Clip (CC uses Fal Seedance) Generate 2-4 representative scenes first to see a preview. If it looks good, then generate everything. 5. /stitch (CC + ffmpeg + ElevenLabs) - Stitch clips together with hard cut - Add a music score + SFX - Sync clips to the VO - Add captions - Review and edit timing / pacing issues 6. /watch the final cut and review it - as a video editor for technical errors (mismatched voiceover and visuals, AI hallucinations, etc) - as a viewer (ICP). I delegate most of the review to the agent because it catches more things and keeps me out of the loop as much as possible. It also fixes any issues found in the review. That's it. This video took me 30 minutes because I have already created skills for everything I described above. Some day, this will be < 5 minutes. I just review and chat to provide direction and feedback. The skills do all the technical work. 7. /learn Extracts learnings and updates the skills. This final step is really important. It turns this process into a closed loop system that makes the next video much easier to create because all the learnings from the human-in-the-loop process get encoded into code. Skills are code too. If you want access to the skill, drop a comment, and I'll DM it to you (must be following). If you want to make AI video ads like this, DM me.show more

Shiv

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11,608 次观看 • 1 个月前 •via X (Twitter)

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Created this video in just 20 minutes. One thing I've noticed with HyperFrame + Claude is that if you understand the technical aspects of video creation, it's much easier to generate the results you want. For this video, I simply asked it to create a storyboard-style whiteboard animation with a handwritten effect and a hand appearing as it writes, while explaining the concept I wanted to cover. If I don't explicitly mention the storyboard/whiteboard style, I'll end up prompting over and over again and still won't get the video I'm looking for.

Created this video in just 20 minutes. One thing I've noticed with HyperFrame + Claude is that if you understand the technical aspects of video creation, it's much easier to generate the results you want. For this video, I simply asked it to create a storyboard-style whiteboard animation with a handwritten effect and a hand appearing as it writes, while explaining the concept I wanted to cover. If I don't explicitly mention the storyboard/whiteboard style, I'll end up prompting over and over again and still won't get the video I'm looking for.

Ankur | NoCode Talks

30,183 次观看 • 10 天前

I'm proud to present this video created with Grok. Here are the main steps in the making of this video: 1. I wrote a draft script by hand. 2. I reworked the script with Grok to eliminate inconsistencies and add technical details (what I have them say about the Apollo missions and the stones is accurate). 3. Grok broke it down into scenes. 4. I switched to Grok Imagine's Agent mode: transforming each scene into a prompt. 5. I animated each scene in Agent mode using video, as well as cropping and image selection. 6. I edited it. Here's the result; it's hard to call it AI. I look forward to reading your comments. Grok Imagine Elon Musk

I'm proud to present this video created with Grok. Here are the main steps in the making of this video: 1. I wrote a draft script by hand. 2. I reworked the script with Grok to eliminate inconsistencies and add technical details (what I have them say about the Apollo missions and the stones is accurate). 3. Grok broke it down into scenes. 4. I switched to Grok Imagine's Agent mode: transforming each scene into a prompt. 5. I animated each scene in Agent mode using video, as well as cropping and image selection. 6. I edited it. Here's the result; it's hard to call it AI. I look forward to reading your comments. Grok Imagine Elon Musk

Déborah

69,706 次观看 • 1 个月前

i built a tool that lets you clone ANY video with AI saw a movie scene you want to recreate? a commercial? a music video? just upload it to this tool and get the exact structured prompt to generate it in sora 2 you no longer need to guess how to describe what you want to generate. show the tool the reference and it engineers the prompt for you. the tool analyzes: - camera movements and angles - lighting and color grading - scene composition and timing then converts everything into sora-optimized prompt structure this is how you recreate any visual style without prompt engineering experience RT + reply 'TOOL' and i'll send you access (must follow so i can dm)

i built a tool that lets you clone ANY video with AI saw a movie scene you want to recreate? a commercial? a music video? just upload it to this tool and get the exact structured prompt to generate it in sora 2 you no longer need to guess how to describe what you want to generate. show the tool the reference and it engineers the prompt for you. the tool analyzes: - camera movements and angles - lighting and color grading - scene composition and timing then converts everything into sora-optimized prompt structure this is how you recreate any visual style without prompt engineering experience RT + reply 'TOOL' and i'll send you access (must follow so i can dm)

Miko

42,842 次观看 • 9 个月前

I just tested Motion Sync on Yapper and I like the cinematic Video made in minutes. Let me show you how you can do it 👇 Step 1: Open Step 2: Click on video and select Motion Sync. Then, ✅️Select base video Pick a video with the movement you want — this will drive the animation. ✅️Add reference image Upload your character or image you want to bring to life. ✅️Generate video Hit generate and watch your idea turn into a smooth motion sync clip. Simple, fast, and actually fun to experiment with.

I just tested Motion Sync on Yapper and I like the cinematic Video made in minutes. Let me show you how you can do it 👇 Step 1: Open Step 2: Click on video and select Motion Sync. Then, ✅️Select base video Pick a video with the movement you want — this will drive the animation. ✅️Add reference image Upload your character or image you want to bring to life. ✅️Generate video Hit generate and watch your idea turn into a smooth motion sync clip. Simple, fast, and actually fun to experiment with.

Leonardo

50,931 次观看 • 2 个月前

The World Cup + Sports betting affiliate is f*cking gold mine I made $20k with a TikTok account, a VA and Google Omni it takes me 2 hours a day to generate about 20 videos and costs me about $0.30 per video the best part is there's is literally 0 competition because no one knows how to make AI videos that look this good for this cheap All I do is: Get the script from a Claude skill I wrote, edit it a bit and send it to my jeet who then generates me the images based of the script using Pinterest and GPT 2 She then sends me the images, I generate the full AI video using my Omni method and I upload them across my TikTok accounts which funnels them to my domain The crazy thing is literally anyone could come in and run this by themselves and a few hours spare a day I put the whole method into a video for everyone including >How to generate AI UGC that is realistic enough to trick a 18 year old >How to creative direct a TikTok video so it goes viral >How to structure yapper style content to actually convert and go viral >The offer I'm using and my Claude skill I wrote as a bonus RT + Comment "YAPP" and I'll send you the video over (must be following so I can DM)

The World Cup + Sports betting affiliate is f*cking gold mine I made $20k with a TikTok account, a VA and Google Omni it takes me 2 hours a day to generate about 20 videos and costs me about $0.30 per video the best part is there's is literally 0 competition because no one knows how to make AI videos that look this good for this cheap All I do is: Get the script from a Claude skill I wrote, edit it a bit and send it to my jeet who then generates me the images based of the script using Pinterest and GPT 2 She then sends me the images, I generate the full AI video using my Omni method and I upload them across my TikTok accounts which funnels them to my domain The crazy thing is literally anyone could come in and run this by themselves and a few hours spare a day I put the whole method into a video for everyone including >How to generate AI UGC that is realistic enough to trick a 18 year old >How to creative direct a TikTok video so it goes viral >How to structure yapper style content to actually convert and go viral >The offer I'm using and my Claude skill I wrote as a bonus RT + Comment "YAPP" and I'll send you the video over (must be following so I can DM)

Pounds

39,666 次观看 • 15 天前

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)

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)

Mike Futia

40,148 次观看 • 1 个月前

Wow. I just put a formula together for the video generator agent and it just output this, really interesting: Running a few more tests before I implement properly. Remember, it's creating the entire logline, prompts, clips - everything by itself AND editing the clips together. Currently in the Replit app, I tweaked the app so that you could see each individual scene in addition to the final video and have the prompt for the scene. However, that makes waiting like 15-20 minutes as opposed to like, 6-8 minutes. Thoughts? Do you all want to wait longer for your prompts at first to try this thing out? I'm getting ready to push soon, there's just a few bugs.

Wow. I just put a formula together for the video generator agent and it just output this, really interesting: Running a few more tests before I implement properly. Remember, it's creating the entire logline, prompts, clips - everything by itself AND editing the clips together. Currently in the Replit app, I tweaked the app so that you could see each individual scene in addition to the final video and have the prompt for the scene. However, that makes waiting like 15-20 minutes as opposed to like, 6-8 minutes. Thoughts? Do you all want to wait longer for your prompts at first to try this thing out? I'm getting ready to push soon, there's just a few bugs.

Kiri

15,577 次观看 • 1 年前

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)

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

33,901 次观看 • 2 个月前

My favorite way of interacting with Claude Code is to have it generate static HTML files as outputs (reports, explorations, code structure, mockups etc.) I wanted to iterate on the file by commenting in browser and having Claude update the output live. So, I built this Claude Skill👇 How it works: - Install Claude Code skill (ask it to clone repo) - Build an HTML page for anything (e.g. research coding agents and generate HTML report) - Ask it to make the page interactive That's it. CC will launch a localhost server and allow you to then leave comments on the page itself and once it updates, will give you a tour of changes. It's like Google Docs kind of comments/iteration but for HTML pages.

My favorite way of interacting with Claude Code is to have it generate static HTML files as outputs (reports, explorations, code structure, mockups etc.) I wanted to iterate on the file by commenting in browser and having Claude update the output live. So, I built this Claude Skill👇 How it works: - Install Claude Code skill (ask it to clone repo) - Build an HTML page for anything (e.g. research coding agents and generate HTML report) - Ask it to make the page interactive That's it. CC will launch a localhost server and allow you to then leave comments on the page itself and once it updates, will give you a tour of changes. It's like Google Docs kind of comments/iteration but for HTML pages.

Paras Chopra

214,709 次观看 • 1 个月前

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! :)

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

58,571 次观看 • 9 个月前

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 次观看 • 2 个月前

At Postman, we have adopted an AI-native mindset to product development. What does this mean in practice? Just like you can generate text with AI, Postman's Agent Mode can generate a UI as well. Case in point: we have added the ability to review, generate, and change diffs for important changes right inside agent mode's chat interaction. If the user trusts agent mode, they can continue in auto-mode, but for critical changes, they can have the agent mode inform the user, review what is changing, and then give the go ahead to approve. See this in action below in the video! While there is a lot of focus on AI generated code today, I believe a large chunk of pre-built UI work will just go away and micro-interactions and workflow steps will be created on the fly through a combination of AI + APIs. How to operate in this new world? Build your API first. Hook it up to AI. If your users really want the UI every time, invest in the GUI.

At Postman, we have adopted an AI-native mindset to product development. What does this mean in practice? Just like you can generate text with AI, Postman's Agent Mode can generate a UI as well. Case in point: we have added the ability to review, generate, and change diffs for important changes right inside agent mode's chat interaction. If the user trusts agent mode, they can continue in auto-mode, but for critical changes, they can have the agent mode inform the user, review what is changing, and then give the go ahead to approve. See this in action below in the video! While there is a lot of focus on AI generated code today, I believe a large chunk of pre-built UI work will just go away and micro-interactions and workflow steps will be created on the fly through a combination of AI + APIs. How to operate in this new world? Build your API first. Hook it up to AI. If your users really want the UI every time, invest in the GUI.

Abhinav Asthana

104,263 次观看 • 1 年前

Introducing /visual-plan - a skill to generate rich, visual plans for Claude Code and Codex. Plan mode in Claude Code is incredible. But I always find my eyes glazing over when it gives me this huge markdown essay in my terminal. I found I can make much better visual plans with reusable components. So I made a skill called `/visual-plan`. It generates plans as MDX with visual, interactive components. Diagrams, interactive API specs, schema design changes, annotated code, and even pan and zoomable wireframes. So for any UI work, you can look at a wireframe first, comment on it, iterate, and then have the agent work. I’ve found this to be a much more intuitive interface for reasoning about what the agent is doing. It’s somewhat inspired by that popular post about how HTML is better than Markdown. But HTML can be slow and verbose to write. And it doesn’t look good checked into a repo. This has really made me feel like humans and engineering are entering a new abstraction phase, where we reason about things at the plan level. As long as the plan is good, agents are getting more and more reliable at executing on it. Almost to the degree that we trust the C compiler to compile to assembly reliably. Plans are the new intermediate representation. I also made a skill for the reverse of this, called `/visual-recap`. After the agent works, it gives you a recap of everything it did. Same idea: wireframes, interactive API specs and diffs, schemas, annotated code, etc. So now when you’re reviewing what the agent did for you, or looking at a pull request of somebody else’s code, you can see a visual recap instead of just reading a wall of text. It’s all free and open source. You can find it on my GitHub. Will link to it in the reply because we all know how dumb these algorithms are with links.

Introducing /visual-plan - a skill to generate rich, visual plans for Claude Code and Codex. Plan mode in Claude Code is incredible. But I always find my eyes glazing over when it gives me this huge markdown essay in my terminal. I found I can make much better visual plans with reusable components. So I made a skill called `/visual-plan`. It generates plans as MDX with visual, interactive components. Diagrams, interactive API specs, schema design changes, annotated code, and even pan and zoomable wireframes. So for any UI work, you can look at a wireframe first, comment on it, iterate, and then have the agent work. I’ve found this to be a much more intuitive interface for reasoning about what the agent is doing. It’s somewhat inspired by that popular post about how HTML is better than Markdown. But HTML can be slow and verbose to write. And it doesn’t look good checked into a repo. This has really made me feel like humans and engineering are entering a new abstraction phase, where we reason about things at the plan level. As long as the plan is good, agents are getting more and more reliable at executing on it. Almost to the degree that we trust the C compiler to compile to assembly reliably. Plans are the new intermediate representation. I also made a skill for the reverse of this, called `/visual-recap`. After the agent works, it gives you a recap of everything it did. Same idea: wireframes, interactive API specs and diffs, schemas, annotated code, etc. So now when you’re reviewing what the agent did for you, or looking at a pull request of somebody else’s code, you can see a visual recap instead of just reading a wall of text. It’s all free and open source. You can find it on my GitHub. Will link to it in the reply because we all know how dumb these algorithms are with links.

Steve (Builder.io)

123,405 次观看 • 28 天前

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 次观看 • 6 个月前

Ok, Remotion is INSANE. I installed it on my OpenClaw this morning. I gave my logo, my landing page and the 14 steps I needed for that video. After 5 iterations, I got this 👇 Well... almost. I wasn't happy about the voiceover. So I sent the script that Marc (my OpenClaw agent) created to ElevenLabs (free plan). Then used Capcut to add the music + the voiceover from ElevenLabs. And I got this video. I am sure it's just a question of time until it becomes perfect (or a lack of skills on my side). But this will go straight to my landing page and I'll save $500 on a video editor.

Florian Darroman

152,536 次观看 • 3 个月前

I'm playing around with generative AI tools and stitching them together into visual stories. Here I took the first few sentences of Pride and Prejudice and made it into a video. The gen stack used for this one: - Anthropic Claude took the first chapter, generated the scenes and the individual prompts to to the image generator. - Ideogram took the prompts and generate the images - Luma took the images and animated them - for narration - VEED | AI Video Creation to stitch it together (Many of these choices are just what I happened to use for this one while exploring a bunch of things). Anyway honestly it was pretty messy and there is a ton of copy pasting between all of the tools, and even this little video with 3 scenes took me about an hour. There is a huge storytelling opportunity here for whoever can make this convenient. Who is building the first 100% AI-native movie maker?

I'm playing around with generative AI tools and stitching them together into visual stories. Here I took the first few sentences of Pride and Prejudice and made it into a video. The gen stack used for this one: - Anthropic Claude took the first chapter, generated the scenes and the individual prompts to to the image generator. - Ideogram took the prompts and generate the images - Luma took the images and animated them - for narration - VEED | AI Video Creation to stitch it together (Many of these choices are just what I happened to use for this one while exploring a bunch of things). Anyway honestly it was pretty messy and there is a ton of copy pasting between all of the tools, and even this little video with 3 scenes took me about an hour. There is a huge storytelling opportunity here for whoever can make this convenient. Who is building the first 100% AI-native movie maker?

Andrej Karpathy

608,746 次观看 • 2 年前

Motion graphics used to take me an hour per scene (or more) Now I'm creating them in 3-5 minutes — without After Effects, without Premiere, without writing a single line of code. I'm a former LA filmmaker (still PGA). My entire video stack is now 3 tools: Claude Code + HyperFrames (from HeyGen) + Descript Here's how the workflow runs: 1. Drop my brand style guide into a folder (colors, fonts, components Claude reuses forever) 2. Paste a line from my Descript transcript into Claude Code: "Create a scene for this part of the video" 3. Claude Code reads my brand, generates the HyperFrames scene, renders it to MP4 4. Drag the MP4 into Descript, drop it on the matching line of the transcript 5. Done. 3-5 minutes per scene. The unlock is the brand style guide. Once Claude has your colors, fonts, and reusable components, every scene inherits your look automatically. Bonus — you can take a Claude Design export (.zip), hand it to Claude Code, and it'll convert the HTML into a HyperFrames video you can render and edit. I built a GitHub repo with all the skills pre-loaded. Non-developers can clone it, open Claude Code, and be rendering scenes in under 10 minutes. Full walkthrough (20 min video) below Repo (skills + brand template + music-from-transcript plugin): Bookmark this if you make videos. The brand-style-guide pattern alone will save you hours every week. If you're a creator or operator using AI for content — share this with someone who's still living in After Effects.

JJ Englert

102,785 次观看 • 2 个月前

How I have Claude automate anything I do on my computer just by showing it: I use the free Clips app and hit record to start recording. Then I just do the action - like navigating to Rippling and approving any unapproved time off - and I’ll often just talk out loud as I do it explaining any add’l details like I would when showing a human. The Clips app captures everything on your screen and everything you say, and transforms it into a format Claude can “see and hear”. You'll then get a link that you can easily share with Claude (or humans too). I’ll paste it to Claude and say something like, "automate this for me every day at 8:00 AM." The link has special metadata that agents like Claude can discover. It exposes APIs to see the full transcript with timestamps and grab screenshots of what was on your screen at any of those timestamps. Once it's created the routine, you can go to the Routines tab in Claude Code desktop app. This also works with the CLI, Claude Cowork, Codex etc. You’ll see your new routine there, and you can just hit Run Now to have it start running it. Video attached shows this step by step. The Clips apps is free and open source - I’ll link to it and the source code in the thread.

How I have Claude automate anything I do on my computer just by showing it: I use the free Clips app and hit record to start recording. Then I just do the action - like navigating to Rippling and approving any unapproved time off - and I’ll often just talk out loud as I do it explaining any add’l details like I would when showing a human. The Clips app captures everything on your screen and everything you say, and transforms it into a format Claude can “see and hear”. You'll then get a link that you can easily share with Claude (or humans too). I’ll paste it to Claude and say something like, "automate this for me every day at 8:00 AM." The link has special metadata that agents like Claude can discover. It exposes APIs to see the full transcript with timestamps and grab screenshots of what was on your screen at any of those timestamps. Once it's created the routine, you can go to the Routines tab in Claude Code desktop app. This also works with the CLI, Claude Cowork, Codex etc. You’ll see your new routine there, and you can just hit Run Now to have it start running it. Video attached shows this step by step. The Clips apps is free and open source - I’ll link to it and the source code in the thread.

Steve (Builder.io)

25,140 次观看 • 15 天前

HERMES AGENT CAN CREATE VIDEOS. NOT WITH AN API CALL. IT WRITES THE CODE, RENDERS THE SCENES, AND STITCHES THEM INTO AN MP4. the video attached to this post was generated by Hermes Agent using manim-video skill. three bundled video skills most people skip: 1. MANIM VIDEO 3Blue1Brown-style animated explainers. algorithm visualizations, equation derivations, architecture diagrams, data stories. the pipeline: PLAN → CODE → RENDER → STITCH → AUDIO → REVIEW Hermes writes a plan.md with narrative arc and scene list. then codes a Python script with one class per scene. renders each scene through Manim CE. stitches clips with ffmpeg. adds voiceover if you want it. requirements: → Python 3.10+ → Manim Community Edition v0.20+ → LaTeX (texlive-full) → ffmpeg → no GPU needed draft quality: manim -ql production quality: manim -qh 2. HYPERFRAMES complement to manim-video. use manim for math and algorithms. use hyperframes for everything else: motion graphics, talking-head with captions, product tours, social overlays, shader transitions. HTML is the source of truth. GSAP timeline for animation. CSS for appearance. HyperFrames engine captures frame-by-frame and encodes to MP4 or WebM with ffmpeg. 3. KANBAN VIDEO ORCHESTRATOR this is the advanced play. a multi-agent video production pipeline backed by Hermes Kanban. it creates profiles for each video role. a director profile decomposes the project into kanban tasks. renderer profiles pick up scenes and produce them. the orchestrator decides which skill fits each scene: manim-video for math, hyperframes for motion graphics, p5js for generative art, blender-mcp for 3D, ascii-video for terminal aesthetics. one prompt. multiple agents. one final video. HOW TO USE: enable any of these: /skills search manim /skills search hyperframes /skills search video or ask directly: "create a 60-second explainer video about how the self-improvement loop works in Hermes Agent. use manim style. dark background, amber and teal accents." Hermes writes the plan, codes every scene, renders, stitches, and delivers an MP4. you review and publish. comment MANIM and I'll send you the exact prompt I used to generate the video in this post. full Hermes NIGHT MODE WORKFLOW 👇

YanXbt

32,293 次观看 • 28 天前

HE MAKES MONEY IN REAL ESTATE WITHOUT BUYING, SELLING, OR EVEN SEEING A SINGLE HOUSE. HERE'S THE EXACT SETUP He never owns a property. He takes a single listing, turns it into a polished 30-second video, and sells that to the agent who posted it. Realtors need video for their feeds and almost none of them can make it. He sits in the middle and builds the whole thing once as a skill that runs on command Here is the exact process: 1. Pull the listing. Go to Zillow, open any listing, download the high-res images, and grab the property info. That is your raw material 2. Turn photos into video with Google Veo. Get a Google API key for Veo, the image-to-video model. It takes the listing photos and animates them into clean 30-second footage. This is the best one out right now 3. Add the voice with ElevenLabs. Get an ElevenLabs API key. Feed it the listing details and it returns a voiceover that sounds like a real human, not a robot. Lay it over the video with the text on screen 4. Send it with AgentMail. Get an AgentMail key so the system can send the finished email out on its own Then you wire it into one skill. Scrape the listing, send images to Veo, add the ElevenLabs voiceover and on-screen text, then send the email. Feed it each key one at a time and have it build each step Who you sell to: Pull realtors off Zillow and Realtor com whose listings have flat photos and zero video. That gap is your pitch. Send a free sample made from their own listing first, then charge a monthly rate for ongoing clips. One agent with ten listings is a recurring client, fully online Bookmark this

HE MAKES MONEY IN REAL ESTATE WITHOUT BUYING, SELLING, OR EVEN SEEING A SINGLE HOUSE. HERE'S THE EXACT SETUP He never owns a property. He takes a single listing, turns it into a polished 30-second video, and sells that to the agent who posted it. Realtors need video for their feeds and almost none of them can make it. He sits in the middle and builds the whole thing once as a skill that runs on command Here is the exact process: 1. Pull the listing. Go to Zillow, open any listing, download the high-res images, and grab the property info. That is your raw material 2. Turn photos into video with Google Veo. Get a Google API key for Veo, the image-to-video model. It takes the listing photos and animates them into clean 30-second footage. This is the best one out right now 3. Add the voice with ElevenLabs. Get an ElevenLabs API key. Feed it the listing details and it returns a voiceover that sounds like a real human, not a robot. Lay it over the video with the text on screen 4. Send it with AgentMail. Get an AgentMail key so the system can send the finished email out on its own Then you wire it into one skill. Scrape the listing, send images to Veo, add the ElevenLabs voiceover and on-screen text, then send the email. Feed it each key one at a time and have it build each step Who you sell to: Pull realtors off Zillow and Realtor com whose listings have flat photos and zero video. That gap is your pitch. Send a free sample made from their own listing first, then charge a monthly rate for ongoing clips. One agent with ten listings is a recurring client, fully online Bookmark this

Yarchi

106,174 次观看 • 1 个月前