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The all-new Dreamina AI web experience is LIVE! Every imagination deserves cinematic expression. 🎬 Cinema-grade skills and master workflows, right at your fingertips ▪ Filmmaking — Textbook cinematography skills, delivering theater-grade quality frame after frame. ▪ Advertising & marketing — Brand-grade workflows, bringing every concept to blockbuster quality. ▪... Creator content — The production process behind breakout short-form hits, out in the open and ready to learn. 📃 A rebuilt creation flow ▪ Dual entry points: Generate and Canvas—switch whenever the work calls for it. ▪ A smarter AI agent: multi-session management, every step visible start to finish. ▪ One integrated canvas: text, image, video, and audio—full control across the whole process. Film-grade creation, now within reach. ✨ Try it now: ⏰ Giveaway: Repost + comment on this post within 12 hours—the first 300 get 1,000 credits. #DreaminaAI #DreaminaAIwebshow more

Dreamina AI

28,077 subscribers

701,034 次观看 • 12 天前 •via X (Twitter)

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32 条评论

fAIkout 的头像

fAIkout12 天前

🔥🔥🔥🔥🔥

sarpstar 的头像

sarpstar12 天前

By far my fav tool to generate my films 🙌

BennyJ504-075 的头像

BennyJ504-07512 天前

Let me check to see how useful this is

Skunk AI 的头像

Skunk AI12 天前

Will definitely try it out for my next videos

うるふ的头像

うるふ12 天前

I still haven’t seen a video generation AI that surpasses Seedance. Thank you, Dreamina, for making it available at such an affordable price!! ❤️

Ahmad Rustom 的头像

Ahmad Rustom12 天前

Looks good. Would be great if you do official tutorials on YouTube for all the features, specially regional editing which is very vague and doesn’t work easily. Thanks

KNIKZ 的头像

KNIKZ12 天前

Looks clean. Can't wait to dive in. First, we got Dramagic and now a rebuild of Dreamina platform. Is this a sign for Seedance 3?

RoyalKongZ (Laurent) 的头像

RoyalKongZ (Laurent)12 天前

The new skills are really useful and effective! An excellent addition!

jambymotion 的头像

jambymotion12 天前

👏🏻👏🏻

🐻‍❄️🧸🐻 的头像

🐻‍❄️🧸🐻12 天前

Aktive

Serena Yeon 的头像

Serena Yeon12 天前

Excited to try it out!

Ali 的头像

Ali12 天前

👍🏻👍🏻

梁朝伟Jason 的头像

梁朝伟Jason12 天前

居然有这等厉害牛逼的模型～～

Ниара 的头像

Ниара12 天前

Nicee

Da Mayor - AI Creative Director 🎨💻 的头像

Da Mayor - AI Creative Director 🎨💻12 天前

How do I purchase AI credits on Dreamina?

Beckleyᡣ𐭩 的头像

Beckleyᡣ𐭩12 天前

I want in🤎

Uncanny Harry AI 的头像

Uncanny Harry AI12 天前

Got some time to play with the new UI this week, looking foward to it 👀

Rukon 的头像

Rukon12 天前

this new dreamina workflow looks seriously powerful for cinematic content creation

Tolga 的头像

Tolga12 天前

Perfect

𝐒𝐢𝐦𝐚𝐧𝐭𝐨 । 𝐀𝐈 𝐍𝐞𝐰𝐬 𝐇𝐮𝐛 的头像

𝐒𝐢𝐦𝐚𝐧𝐭𝐨 । 𝐀𝐈 𝐍𝐞𝐰𝐬 𝐇𝐮𝐛12 天前

Need CPP

GOTHAM Ai 的头像

GOTHAM Ai12 天前

🔥

The Game Seekers 的头像

The Game Seekers12 天前

konichiwa

I'm_Saad 的头像

I'm_Saad12 天前

😍

Baba 的头像

Baba12 天前

Great

xiaogang517 的头像

xiaogang51712 天前

看起来不错，有升级技能？

Zhiyue AI 的头像

Zhiyue AI12 天前

🙋🏻‍♀️🙋🏻‍♀️🙋🏻‍♀️🙋🏻‍♀️

Steven Aubray 🫵🏽 的头像

Steven Aubray 🫵🏽12 天前

Let's go 💙

Veo Studio 🎥 的头像

Veo Studio 🎥12 天前

👏👏👏

Jianov 的头像

Jianov12 天前

The dual entry point is the interesting part. Generate vs Canvas is a real workflow split most tools still pretend is one button. Curious how the agent keeps multi-session state visible without turning the canvas into noise.

Chandan Thinker 的头像

Chandan Thinker12 天前

I'm so excited

Uthman♣️ 的头像

Uthman♣️12 天前

1000 Credits👀??

Mason 的头像

Mason12 天前

Can’t wait to try this out, my subscription is just about to renew in 2 days.

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🎬 Global Launch: Dreamina Seedance 2.5 is now live! Our most cinematic video model yet has arrived, and Dreamina AI is your official platform. Step into a new era of precision control and long-take storytelling: · Native 30s videos in a single generation · A new interactive editing experience: reshape any part of the frame · Long video mode: up to 3 minutes, with consistency that holds throughout · Dreamina AI plugins for Maya and Blender, built for film-grade production pipelines · Up to 50 multimodal references, now with support for 3D white models and green-screen footage — bringing AI generation into real production workflows · More true-to-life lighting and shadows, richer motion detail, and precise timestamp control down to 1 second Dreamina Seedance 2.5 is more than a model. It's an upgrade to what you can create. Now open to Dreamina AI subscribers. 🕐 Available now across Southeast Asia, the Middle East, Africa, Europe, and South America. More countries and regions coming soon. ✨ Watch Aura Design in action with the new model ⏳ Limited time: save up to 32% on credits per generation 🎁 Repost and comment – first 300 users get 1,000 credits in 12 hours #DreaminaSeedance25 #DreaminaAI

🎬 Global Launch: Dreamina Seedance 2.5 is now live! Our most cinematic video model yet has arrived, and Dreamina AI is your official platform. Step into a new era of precision control and long-take storytelling: · Native 30s videos in a single generation · A new interactive editing experience: reshape any part of the frame · Long video mode: up to 3 minutes, with consistency that holds throughout · Dreamina AI plugins for Maya and Blender, built for film-grade production pipelines · Up to 50 multimodal references, now with support for 3D white models and green-screen footage — bringing AI generation into real production workflows · More true-to-life lighting and shadows, richer motion detail, and precise timestamp control down to 1 second Dreamina Seedance 2.5 is more than a model. It's an upgrade to what you can create. Now open to Dreamina AI subscribers. 🕐 Available now across Southeast Asia, the Middle East, Africa, Europe, and South America. More countries and regions coming soon. ✨ Watch Aura Design in action with the new model ⏳ Limited time: save up to 32% on credits per generation 🎁 Repost and comment – first 300 users get 1,000 credits in 12 hours #DreaminaSeedance25 #DreaminaAI

Dreamina AI

641,234 次观看 • 2 个月前

The official user manual for the Dreamina Octo is finally here! The perfect companion for Dreamina Seedance 2.0 is Dreamina Octo, your AI agent. We call this Vibe Create. Now you can: · Think and create with Dreamina Octo, your AI partner. It combines intuitive thinking and deep creative skills, staying in sync with your ideas every step of the way. · Bring your ideas to life across text, image, and video. Inspiration is captured, enhanced, and shared in one collaborative space. · From the first spark to the finished work, Dreamina Octo's intelligent workflow keeps pace with you, helping ideas grow naturally into real creations. Advanced subscribers can start creating now, and everyone else can explore a demo project for a first look as access continues to roll out. Come to Dreamina AI and try Dreamina Octo today!

The official user manual for the Dreamina Octo is finally here! The perfect companion for Dreamina Seedance 2.0 is Dreamina Octo, your AI agent. We call this Vibe Create. Now you can: · Think and create with Dreamina Octo, your AI partner. It combines intuitive thinking and deep creative skills, staying in sync with your ideas every step of the way. · Bring your ideas to life across text, image, and video. Inspiration is captured, enhanced, and shared in one collaborative space. · From the first spark to the finished work, Dreamina Octo's intelligent workflow keeps pace with you, helping ideas grow naturally into real creations. Advanced subscribers can start creating now, and everyone else can explore a demo project for a first look as access continues to roll out. Come to Dreamina AI and try Dreamina Octo today!

Dreamina AI

2,083,652 次观看 • 4 个月前

ComfyUI Tutorial for Beginners: Full Node Graph Basics It's a production-grade generation backend with an adaptable front end and Module 1 is where the node graph stops being intimidating. We boot up Comfy Cloud, tour the full UI, and build your first workflow from the ground up. What you'll learn: → Comfy Cloud vs. Desktop - which to use and when → Navigating the graph: pan, zoom, frame, select → The 5 core nodes behind every text-to-image workflow → Checkpoints, LoRAs, VAEs, CLIP - matching model versions → Get/Set nodes + reroutes to kill the spaghetti → Subgraphs: complex workflows collapsed into one node → App Mode: a front end for non-technical collaborators → Templates vs. Blueprints vs. Workflows → The 7 node categories that make the whole library click No installs. No missing models. Open it and generate.

ComfyUI Tutorial for Beginners: Full Node Graph Basics It's a production-grade generation backend with an adaptable front end and Module 1 is where the node graph stops being intimidating. We boot up Comfy Cloud, tour the full UI, and build your first workflow from the ground up. What you'll learn: → Comfy Cloud vs. Desktop - which to use and when → Navigating the graph: pan, zoom, frame, select → The 5 core nodes behind every text-to-image workflow → Checkpoints, LoRAs, VAEs, CLIP - matching model versions → Get/Set nodes + reroutes to kill the spaghetti → Subgraphs: complex workflows collapsed into one node → App Mode: a front end for non-technical collaborators → Templates vs. Blueprints vs. Workflows → The 7 node categories that make the whole library click No installs. No missing models. Open it and generate.

ComfyUI

15,034 次观看 • 1 个月前

this is f*cking insane.. Higgsfield just spent $500,000 making a 95 minute AI Film called Hell Grind and they just LEAKED everything.. they open sourced their whole entire system.. the brand briefs, the creative research, the prompting system & every asset they used the system they put together to make this film is genuinely insane. this is not some random AI video or AI slop reel. this is a full professional grade AI film with every single piece of the production released publicly no one would ever just casually release $500,000 worth of professional AI filmmaking material for free. but that's exactly what happened if you're doing anything serious in the AI creative space then this is for you. whether you're making AI UGC, faceless content, animations, short films, whatever. the workflows and prompting systems in here apply to everything. this is the most detailed framework at how a professional AI video gets made . this has ever been released publicly, you're not going to find anything close to this anywhere else. i put together everything you need in one place.. here's what you're getting: > the full project brief breaking down their production system from A-Z with every single prompt they used across 95 minutes > all the video, image and audio assets > the full creative research process > how they maintained consistency across a movie length film RT + reply "FILM" and i'll send it over (must follow so i can dm)

Miko

13,747 次观看 • 1 个月前

Claude Skills are a cheat code for DTC creative teams 🤯 One setup, reusable forever. Claude automatically follows your exact creative process — briefs, hooks, ad copy, research — without you explaining anything twice. Perfect for e-comm brands and agencies who are using Claude for creative work but wasting time re-explaining context every single conversation. Here's the problem: You open Claude: you paste in your brand guidelines, explain your brief format, write the copy, you close the chat. Next day, you do it all over again. Every conversation starts from zero. You're burning 20 minutes on setup before you even get to the actual work. Claude Skills fix this: → Write your creative process once as a Skill (a simple markdown file) → Claude reads it automatically whenever the task comes up → Skills compose — research triggers the research Skill, briefs trigger the brief Skill, copy triggers the copy Skill → All in one conversation, all building on each other → Share across your team so everyone gets the same quality output No re-explaining your brand voice. No pasting the same context every chat. No siloed projects that don't talk to each other. What's in the playbook: → The full architecture (how Skills trigger, chain, and compose) → 5 ready-to-use Skill templates built for DTC and agency creative teams → Step-by-step setup from zero to working Skills → How to write instructions that produce consistent output every time → The composability framework for running multi-step creative workflows in one conversation I put together the complete Claude Skills Playbook for DTC brands and creative agencies. Want it for free? >Like this post >Comment "SKILLS" And I'll send it over (must be following so I can DM)

Mike Futia

32,001 次观看 • 7 个月前

New short course: Collaborative Writing and Coding with OpenAI Canvas! Explore new ways to write and code with OpenAI Canvas, a user-friendly interface that allows you to brainstorm, draft, and refine text and code in collaboration with ChatGPT. In the short course, created with OpenAI, and taught by , a research lead at OpenAI, you’ll learn to use Canvas to enhance your workflows. Canvas lets you go beyond simple chat interactions. It provides a side-by-side workspace where you and ChatGPT can edit and refine text or code collaboratively. This makes brainstorming, drafting, and iterating as you write feel more natural and effective. As the first major update to ChatGPT’s visual interface since its launch in 2022, Canvas gives a new, innovative approach to collaboration with AI. For instance, after writing the first version of your code, Canvas can review it and give suggestions for improvement. It can also help with debugging by adding logging, identifying problems to fix, and writing comments. In addition, you'll also learn what it takes to train the model for an interface like Canvas. In this video-only short course, you’ll: - Learn how to ask for in-line feedback and control the iteration of your work by directly editing selected areas of your text or code from the model’s output. - Learn how to access quick automation tools in a shortcut menu that allows you to modify your writing tone and length, enhance your code, and restore previous versions of your work. - Learn how to use Canvas as a research assistant tool with an example of asking the model to reason through the screenshot of a plot to write a research report, in which you can ask questions within the created report. - Ask the model to write Python code to replicate the graph seen on a screenshot image. - Go behind the scenes of how you can create a video game, such as Space Battleship, from scratch, edit it, and display it in one self-contained HTML file. - Get a real-world application example of creating a SQL database from the image of its architecture. - Understand the model training and design processes that power Canvas! Please sign up here:

New short course: Collaborative Writing and Coding with OpenAI Canvas! Explore new ways to write and code with OpenAI Canvas, a user-friendly interface that allows you to brainstorm, draft, and refine text and code in collaboration with ChatGPT. In the short course, created with OpenAI, and taught by , a research lead at OpenAI, you’ll learn to use Canvas to enhance your workflows. Canvas lets you go beyond simple chat interactions. It provides a side-by-side workspace where you and ChatGPT can edit and refine text or code collaboratively. This makes brainstorming, drafting, and iterating as you write feel more natural and effective. As the first major update to ChatGPT’s visual interface since its launch in 2022, Canvas gives a new, innovative approach to collaboration with AI. For instance, after writing the first version of your code, Canvas can review it and give suggestions for improvement. It can also help with debugging by adding logging, identifying problems to fix, and writing comments. In addition, you'll also learn what it takes to train the model for an interface like Canvas. In this video-only short course, you’ll: - Learn how to ask for in-line feedback and control the iteration of your work by directly editing selected areas of your text or code from the model’s output. - Learn how to access quick automation tools in a shortcut menu that allows you to modify your writing tone and length, enhance your code, and restore previous versions of your work. - Learn how to use Canvas as a research assistant tool with an example of asking the model to reason through the screenshot of a plot to write a research report, in which you can ask questions within the created report. - Ask the model to write Python code to replicate the graph seen on a screenshot image. - Go behind the scenes of how you can create a video game, such as Space Battleship, from scratch, edit it, and display it in one self-contained HTML file. - Get a real-world application example of creating a SQL database from the image of its architecture. - Understand the model training and design processes that power Canvas! Please sign up here:

Andrew Ng

128,180 次观看 • 1 年前

Flova AI 1.0 is officially here！ AI video creation is entering the Skill Era. MASSIVE PERKS DROPPING! 🚀 Follow FlovaAI, RT & comment within the first 12 hours of this post to claim 500 Credits—GUARANTEED for everyone! 💥 Plus, the first 100 users score a FREE 1-month Flova Membership! 🎉🎉 Flova 1.0 — Your Personal AI Video Agent Partner Until now, creating with AI meant learning “magic spells” and juggling a dozen tools. Flova 1.0 ends that cycle. 1️⃣Skill-ify Your Taste 🧠 Don't just generate; build. Package your prompts, model choices, and workflows into a "Skill." Your creative DNA becomes a reusable system—a content machine that actually understands you. 2️⃣Natural Language Only 💬 No prompt engineering required. Describe your vision in plain English. Flova’s Agent automatically selects the best models and executes the logic end-to-end. 3️⃣The Unified Workspace 🎬 Script, images, video, voice, and music on one timeline. All the world’s leading AI models, zero tool-switching. 4️⃣Precision Autopilot 🤝 Context-aware collaboration. You provide the creative spark; Flova handles the complex execution. Your taste is now a system. Your system is now a business. Turn your workflow and taste into skills. AI that works your way. Experience Flova AI 1.0: 🔗 #FlovaAI #AIVideo #AIAgent #GenerativeAI #Flova1

Flova AI 1.0 is officially here！ AI video creation is entering the Skill Era. MASSIVE PERKS DROPPING! 🚀 Follow FlovaAI, RT & comment within the first 12 hours of this post to claim 500 Credits—GUARANTEED for everyone! 💥 Plus, the first 100 users score a FREE 1-month Flova Membership! 🎉🎉 Flova 1.0 — Your Personal AI Video Agent Partner Until now, creating with AI meant learning “magic spells” and juggling a dozen tools. Flova 1.0 ends that cycle. 1️⃣Skill-ify Your Taste 🧠 Don't just generate; build. Package your prompts, model choices, and workflows into a "Skill." Your creative DNA becomes a reusable system—a content machine that actually understands you. 2️⃣Natural Language Only 💬 No prompt engineering required. Describe your vision in plain English. Flova’s Agent automatically selects the best models and executes the logic end-to-end. 3️⃣The Unified Workspace 🎬 Script, images, video, voice, and music on one timeline. All the world’s leading AI models, zero tool-switching. 4️⃣Precision Autopilot 🤝 Context-aware collaboration. You provide the creative spark; Flova handles the complex execution. Your taste is now a system. Your system is now a business. Turn your workflow and taste into skills. AI that works your way. Experience Flova AI 1.0: 🔗 #FlovaAI #AIVideo #AIAgent #GenerativeAI #Flova1

FlovaAI

46,377 次观看 • 4 个月前

If your payroll team still operates manually, you're losing thousands of hours every year. Deel is a $17B company with 7,000 employees. They automated 94% of their payroll ops with AI agents. Here's how: Phil leads the AKAI team at Deel. He built 12 agents to automate their entire payroll workflow. AKAI now saves their payroll team of 46 over 15,000+ hours every year. The agents handle all repetitive work across Deel’s payroll process, connect different systems, and take care of the workflows that used to require people to do the same checks over and over. The crazy part is how they were built. Phil didn’t write code for every step. He showed Akai how the work was done, explained the process, and let the agents learn the workflow. This is what AI automation looks like when you stop automating individual tasks and start automating entire workflows. Deel even guarantees 1,000 hours saved in 30 days for companies with 100+ employees - or you get your money back. If your payroll team is still spending thousands of hours on repetitive work, I'd look here immediately. Booking a demo now gets you early access + $5,000 in free Akai credits. Check it out:

If your payroll team still operates manually, you're losing thousands of hours every year. Deel is a $17B company with 7,000 employees. They automated 94% of their payroll ops with AI agents. Here's how: Phil leads the AKAI team at Deel. He built 12 agents to automate their entire payroll workflow. AKAI now saves their payroll team of 46 over 15,000+ hours every year. The agents handle all repetitive work across Deel’s payroll process, connect different systems, and take care of the workflows that used to require people to do the same checks over and over. The crazy part is how they were built. Phil didn’t write code for every step. He showed Akai how the work was done, explained the process, and let the agents learn the workflow. This is what AI automation looks like when you stop automating individual tasks and start automating entire workflows. Deel even guarantees 1,000 hours saved in 30 days for companies with 100+ employees - or you get your money back. If your payroll team is still spending thousands of hours on repetitive work, I'd look here immediately. Booking a demo now gets you early access + $5,000 in free Akai credits. Check it out:

Mohini Shewale

82,339 次观看 • 11 天前

Dreamina's masterfully built next-gen AI video model serves to essentially change the game. Stepping dynamically from "clip stitching" to "long narrative × multi-asset × powerful editing" — let's review what's actually new: Seedance 2.5 is completely live worldwide on Dreamina — today — while a broader US rollout begins August 7. And yes: ✅ The entire fantastic Seedance suite (2.5, 2.0, plus all upcoming future models) is currently priced at its lowest-ever tier ✅ Dreamina obviously isn’t simply the most capable platform for Seedance 2.5 — it remains hands down the most affordable way to push it to the limits, full-capacity, requiring no add-ons ✨ 30s continuous generation (15s → 30s) — leave out the choppy stitching artifacts 📦 Up to 50 multimodal references (12 → 50) — blend your images, videos, audio, brilliantly all in one go 🎬 Precise local editing — carefully fix specific regions without ever re-rendering the whole clip 🌍 10+ languages — Spanish, Arabic, Japanese, Korean, and numerous more 🎯 3D white model & green screen support — high-level professional-grade control The fragile era of short clips is fully over. Intense industrial-grade AI video is actively here. 🚀 Coming soon on Dreamina. Meanwhile, jump in and create with Dreamina Seedance 2.5 and get your workspace ready for the upgrade! #dreamina #dreaminapartner #seedance #dreaminaseedance25

Dreamina's masterfully built next-gen AI video model serves to essentially change the game. Stepping dynamically from "clip stitching" to "long narrative × multi-asset × powerful editing" — let's review what's actually new: Seedance 2.5 is completely live worldwide on Dreamina — today — while a broader US rollout begins August 7. And yes: ✅ The entire fantastic Seedance suite (2.5, 2.0, plus all upcoming future models) is currently priced at its lowest-ever tier ✅ Dreamina obviously isn’t simply the most capable platform for Seedance 2.5 — it remains hands down the most affordable way to push it to the limits, full-capacity, requiring no add-ons ✨ 30s continuous generation (15s → 30s) — leave out the choppy stitching artifacts 📦 Up to 50 multimodal references (12 → 50) — blend your images, videos, audio, brilliantly all in one go 🎬 Precise local editing — carefully fix specific regions without ever re-rendering the whole clip 🌍 10+ languages — Spanish, Arabic, Japanese, Korean, and numerous more 🎯 3D white model & green screen support — high-level professional-grade control The fragile era of short clips is fully over. Intense industrial-grade AI video is actively here. 🚀 Coming soon on Dreamina. Meanwhile, jump in and create with Dreamina Seedance 2.5 and get your workspace ready for the upgrade! #dreamina #dreaminapartner #seedance #dreaminaseedance25

Jennifer Thompson

12,521 次观看 • 2 个月前

Nobody's talking about the Claude trick that fixes every Seedance 2.0 video mistake. A cinematic action scene, an animated sequence, a product ad, and a dialogue scene are completely different types of content. Different camera language, different pacing, different reference logic. Most people try to force all of it through one universal prompt. The fix turns out to be simpler than expected: Claude Skills. It's not some secret hack. It's a file of instructions you load into Claude for one specific type of task. Once it's loaded, Claude stops acting like a general assistant and starts thinking like an expert in that one niche — with its own set of rules for that scene type. Here's what that looks like in practice: ▪ Cinematic skill — generates real camera language: dolly moves, crane shots, rack focus, shot discipline across multiple cuts. Test: a medieval battle between two armies, 15 seconds, dark fantasy. Result — three shots with the shot logic of an actual film, not just "epic battle" typed as text. ▪ Animation skill — locks in style and physics before a single shot is built. One test: a rain-soaked shonen fight in the style of Tokyo Revengers. Another: a quiet Ghibli-style farm scene. Same skill, completely different visual output — because the style gets fixed at the very top of the prompt. ▪ Product ad skill — keeps the product front and center in every shot: clean hero framing, commercial lighting, a full product description built from the reference image before any shots are generated. ▪ Dialogue skill — this is where most people fall apart. Lip sync, emotional direction, shot structure, and audio cues all have to work together. Test: an interrogation scene with a fourth-wall break — and the moment landed exactly as written, down to the pause and tone. The core idea is simple: instead of writing a prompt from scratch every time and hoping for the best, you build one skill per content type — and Claude asks the right setup questions (genre, tone, shot count, camera energy) before generating a fully structured Seedance 2.0 prompt. One prompt template for everything is exactly why 90% of AI videos look the same. This 13-minute video is free, and it's more useful than a $500 course. YouTube: "Skai Generated" - Thank you for sharing this invaluable material with us.

Nobody's talking about the Claude trick that fixes every Seedance 2.0 video mistake. A cinematic action scene, an animated sequence, a product ad, and a dialogue scene are completely different types of content. Different camera language, different pacing, different reference logic. Most people try to force all of it through one universal prompt. The fix turns out to be simpler than expected: Claude Skills. It's not some secret hack. It's a file of instructions you load into Claude for one specific type of task. Once it's loaded, Claude stops acting like a general assistant and starts thinking like an expert in that one niche — with its own set of rules for that scene type. Here's what that looks like in practice: ▪ Cinematic skill — generates real camera language: dolly moves, crane shots, rack focus, shot discipline across multiple cuts. Test: a medieval battle between two armies, 15 seconds, dark fantasy. Result — three shots with the shot logic of an actual film, not just "epic battle" typed as text. ▪ Animation skill — locks in style and physics before a single shot is built. One test: a rain-soaked shonen fight in the style of Tokyo Revengers. Another: a quiet Ghibli-style farm scene. Same skill, completely different visual output — because the style gets fixed at the very top of the prompt. ▪ Product ad skill — keeps the product front and center in every shot: clean hero framing, commercial lighting, a full product description built from the reference image before any shots are generated. ▪ Dialogue skill — this is where most people fall apart. Lip sync, emotional direction, shot structure, and audio cues all have to work together. Test: an interrogation scene with a fourth-wall break — and the moment landed exactly as written, down to the pause and tone. The core idea is simple: instead of writing a prompt from scratch every time and hoping for the best, you build one skill per content type — and Claude asks the right setup questions (genre, tone, shot count, camera energy) before generating a fully structured Seedance 2.0 prompt. One prompt template for everything is exactly why 90% of AI videos look the same. This 13-minute video is free, and it's more useful than a $500 course. YouTube: "Skai Generated" - Thank you for sharing this invaluable material with us.

Zentrix⌚️

45,874 次观看 • 2 个月前

Veo 3.1 is now live on invideo. We’re one of the first official partners worldwide to launch Veo 3.1. The Google Cloud team gave us early access, and it changes everything. Veo 3.1 upgrades what creators actually care about: visual quality, motion realism, and prompt responsiveness. But the real breakthrough is in control: → You can now define a start and end frame and Veo 3.1 builds everything between them with perfect flow. → You can lock a character’s look across scenes. → You can merge multiple references into one coherent world. When that power meets invideo, it turns from generation into storytelling. Because invideo isn’t just an AI video generator, it’s a full-stack AI production house at your disposal. It makes over 300 creative decisions across editing, scripting, visuals, sound, and voiceover to craft videos like a full-scale production team would. Ad films, brand spots, social content, cinematic stories, all created with the precision of a studio team, at the speed of thought. Watch how Veo 3.1 inside invideo turns imagination into cinematic magic👇

Sanket Shah

558,983 次观看 • 11 个月前

🚀 Introducing the Kling 3.0 Model: Everyone a Director. It’s Time. An all-in-one creative engine that enables truly native multimodal creation. - Superb Consistency: Your characters and elements, always locked in. - Flexible Video Production: Create 15s clips with precise control, excellent video realism and customizable multi-shots. - Upgraded Native Audio: Now supports multi-character reference, more languages and accents. - Enhanced Image Generation: 4K Image output, new image series mode and more cinematic visuals. Ultra subscribers get exclusive early access — now live on Web -> Kling AI. Get ready to unlock your creative potential with our most advanced model yet. [For the next 24 hours ONLY] Follow, Comment & Retweet to win exclusive early access - we will select 10 winners in this post from the top ten 'Most liked replies'. So which feature are you most excited about? Let us know in the comment! We will contact you via your DM.

🚀 Introducing the Kling 3.0 Model: Everyone a Director. It’s Time. An all-in-one creative engine that enables truly native multimodal creation. - Superb Consistency: Your characters and elements, always locked in. - Flexible Video Production: Create 15s clips with precise control, excellent video realism and customizable multi-shots. - Upgraded Native Audio: Now supports multi-character reference, more languages and accents. - Enhanced Image Generation: 4K Image output, new image series mode and more cinematic visuals. Ultra subscribers get exclusive early access — now live on Web -> Kling AI. Get ready to unlock your creative potential with our most advanced model yet. [For the next 24 hours ONLY] Follow, Comment & Retweet to win exclusive early access - we will select 10 winners in this post from the top ten 'Most liked replies'. So which feature are you most excited about? Let us know in the comment! We will contact you via your DM.

Kling AI

1,197,478 次观看 • 8 个月前

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Aaron Levie

91,863 次观看 • 1 年前

We’re entering the 10x speed of research publication workflow with AI. SciSpace (SciSpace), the first AI Agent built exclusively for the scientific community, is releasing so many inredibly useful features. 🎯 This is the AI Agent that can use 150+ tools, 59 databases, and 280M+ papers A few weeks back they launched BioMed Agent - It can design entire molecular biology workflows and even create publication-ready illustrations in a single prompt. This is its new domain-specialized AI co-scientist that sits on top of the existing SciSpace Agent and automates full biomedical workflows, from raw data and papers to analysis, decisions, and the final production-grade illustrations. You just need to give it 1 prompt. And today the added the following - Library Search, so it can search and analyze the PDFs already sitting in My Library, letting people ask questions across their own paper pile while keeping it private. - Now connects directly to Zotero, so the Agent can pull and work with the papers you already saved there without manual uploads. - For bigger prompts, it auto-triggers a Report Writing Sub-Agent that turns the chat into a structured research-style report, which is way cleaner for literature reviews and long summaries. - And when you get something worth keeping, Save to Notebook lets you store the output as .md notes with citations in My notebooks, so the work becomes reusable research notes instead of disappearing into chat. Behind the scenes, it indexes the PDF text, pulls a few relevant chunks for the question, then writes an answer grounded on those chunks.

We’re entering the 10x speed of research publication workflow with AI. SciSpace (SciSpace), the first AI Agent built exclusively for the scientific community, is releasing so many inredibly useful features. 🎯 This is the AI Agent that can use 150+ tools, 59 databases, and 280M+ papers A few weeks back they launched BioMed Agent - It can design entire molecular biology workflows and even create publication-ready illustrations in a single prompt. This is its new domain-specialized AI co-scientist that sits on top of the existing SciSpace Agent and automates full biomedical workflows, from raw data and papers to analysis, decisions, and the final production-grade illustrations. You just need to give it 1 prompt. And today the added the following - Library Search, so it can search and analyze the PDFs already sitting in My Library, letting people ask questions across their own paper pile while keeping it private. - Now connects directly to Zotero, so the Agent can pull and work with the papers you already saved there without manual uploads. - For bigger prompts, it auto-triggers a Report Writing Sub-Agent that turns the chat into a structured research-style report, which is way cleaner for literature reviews and long summaries. - And when you get something worth keeping, Save to Notebook lets you store the output as .md notes with citations in My notebooks, so the work becomes reusable research notes instead of disappearing into chat. Behind the scenes, it indexes the PDF text, pulls a few relevant chunks for the question, then writes an answer grounded on those chunks.

Rohan Paul

11,574 次观看 • 8 个月前

Code-first prototypes are fast to build. Getting feedback on them is not. A design lead can't leave a comment on one specific state. An engineer can't see the full flow at a glance. The thing that makes a prototype great for building makes it awkward for aligning. So Amy Lima and I built a skill for that (well, mostly Amy). It takes a live localhost prototype and brings it into Figma. Each flow broken out into its own frame, built from your design system components, annotated with the interaction and implementation details. Now the canvas is where you review and align. We refined it live in the video too! My favorite part is a habit I like to lean on: make the agent take one more round trip to validate its own work before it claims it's done. AI sometimes has the tendency to confidently tell you the job's finished when it isn't. Thanks to Amy and the whole Figma crew for allowing me to be a part of this!

Code-first prototypes are fast to build. Getting feedback on them is not. A design lead can't leave a comment on one specific state. An engineer can't see the full flow at a glance. The thing that makes a prototype great for building makes it awkward for aligning. So Amy Lima and I built a skill for that (well, mostly Amy). It takes a live localhost prototype and brings it into Figma. Each flow broken out into its own frame, built from your design system components, annotated with the interaction and implementation details. Now the canvas is where you review and align. We refined it live in the video too! My favorite part is a habit I like to lean on: make the agent take one more round trip to validate its own work before it claims it's done. AI sometimes has the tendency to confidently tell you the job's finished when it isn't. Thanks to Amy and the whole Figma crew for allowing me to be a part of this!

TJ Pitre

13,477 次观看 • 3 个月前

plz welcome: masscontent operator shts on openclaw shts on claude code sh*ts on higgsfield im pretty positive that this is the most powerful mass marketing agent on earth. just a short list of what he can do: - full phone farm integration (~$4 per account) - second brain on u and your competitors - 500+ marketing .skills pre-loaded - call 64 ai content models (50% of the cost) - build full ai vids/slides workflows in bulk (30 at once) - create consistent influencers and map them to accs - run ai theme pages by itself - auto-post everywhere via our phone farm - setup up lead mag auto-dm’s for every post - spin ai inbox agent to manage every dm and follow up - social intelligence scraping on every platform - clone viral posts with your brand + brain - fully edit every video - highly realistic Seedance 2.0 ugc - render mocked iOS app screen recs w/ your real ui - write tweets & post any render media - create saas mini-launch vids with every tweet (real ui) - scrape top ai influencer pages and clone them - use our credits or connect your anthropic key for unlimited - track posts work & edit all workflows to double down - all analytics mapped in his brain wiki - track every click and conversion event - create & post 1,000+ vids/day i’m not sure how i got here, but 2.1 million lines of code later… we are locked in. like, rt + comment “OPERATOR” and i’ll dm it to you. (must follow for dm)

Jonny Vandel

58,431 次观看 • 4 个月前

🚨 Billion Network Agent – New Method to Complete & Claim Bonus before snapshot 😤🪂 Struggling to complete your Billion Network Agent on mobile? Here’s a better and easier way 👇 💻 If it’s not working on your phone, switch to a Laptop/PC for a smoother experience. 🎯 I’ve already shared the mobile guide earlier, but since my progress reset, I’m demonstrating the entire process again step-by-step using my own ID. 💰 Rewards: • First-time completion → 2000 points • Every repeat completion → 200 points each time 📌 Step-by-Step Process (Easy to Follow): 🔹 Start by creating a fresh Codespace on GitHub 🔹 Carefully enter each command in sequence — don’t skip any step 🔹 Once everything is completed, open the final link in your browser 🔹 Sign in using the same email ID to verify and check your points 🎥 I’ve uploaded a short video — just follow along and you’ll complete it within 2–3 minutes! ⚠️ If you face any errors, simply restart and repeat the steps from the beginning — I faced the same issue and it worked perfectly after retrying. 🔗 GitHub Link: 🔗 All Comments Link 👇 🔗 Android Phone Guide 👇 🔥 Don’t miss out — complete it now and start earning points! Billions #billionnetworkaiagentguide #billionnetworktge #billionairdropupdate

🚨 Billion Network Agent – New Method to Complete & Claim Bonus before snapshot 😤🪂 Struggling to complete your Billion Network Agent on mobile? Here’s a better and easier way 👇 💻 If it’s not working on your phone, switch to a Laptop/PC for a smoother experience. 🎯 I’ve already shared the mobile guide earlier, but since my progress reset, I’m demonstrating the entire process again step-by-step using my own ID. 💰 Rewards: • First-time completion → 2000 points • Every repeat completion → 200 points each time 📌 Step-by-Step Process (Easy to Follow): 🔹 Start by creating a fresh Codespace on GitHub 🔹 Carefully enter each command in sequence — don’t skip any step 🔹 Once everything is completed, open the final link in your browser 🔹 Sign in using the same email ID to verify and check your points 🎥 I’ve uploaded a short video — just follow along and you’ll complete it within 2–3 minutes! ⚠️ If you face any errors, simply restart and repeat the steps from the beginning — I faced the same issue and it worked perfectly after retrying. 🔗 GitHub Link: 🔗 All Comments Link 👇 🔗 Android Phone Guide 👇 🔥 Don’t miss out — complete it now and start earning points! Billions #billionnetworkaiagentguide #billionnetworktge #billionairdropupdate

Airdrop Hunt with Lakhan 🪂

15,753 次观看 • 6 个月前

Today, we are launching Depost AI 2. 🎉 I am a bit emotional writing this. The last eight months were intense. But today I am proud of what we built. Because Depost AI 2 is built to become the best and safest AI content team for LinkedIn. We listened to thousands of people who used the first version, and we rebuilt Depost AI from scratch on the official LinkedIn API. The result: - A chat instead of a form, so you brief it like a colleague - Analytics that show what performs for you and why - Four agents that write in your voice and design the graphics to match - A calendar that fills from approved drafts - Approvals, roles, and a separate workspace for every brand - MCP, so the whole team works inside Claude, ChatGPT, or Cursor It is built for B2B founders who need to be visible without losing an hour a day. For marketing teams who need one system, one review flow, and one voice per brand. And for agencies who run LinkedIn for clients and need every brand kept apart. But the bigger vision is this: Depost AI is becoming a content team that understands your brand before it writes a word. It learns from everything you publish. It knows what performs for you and why. It plans, writes, designs, and schedules from that. And nothing goes live until you approve it. Because writing a post is not the hard part. Knowing what to say, saying it well every week, and doing it safely on an account you cannot afford to lose is. Depost AI 2 is the tool we built to solve that. And honestly, the best part right now is watching people brief it for the first time and get a week of drafts back in their own voice. You can start a 7-day free trial today at And if you message me, I will happily walk you through it myself. ❤️

Atta 🐬

20,330 次观看 • 25 天前

A finance professor manages $200M with AI agents, and he told everyone why: "Large language models are at the level of a fourth-year PhD student in every field" Alejandro Lopez-Lira's AI fund, Autopilot, returned 56% last year. The S&P did 16%. There are 52,000 people with money in it, and most of them just watch the machine work. What he automated is the same six-step loop every fund on earth runs: find an idea, code it, backtest it, deploy it, read the autopsy, learn from it. A quant at Two Sigma runs that loop once a month, and the salary time alone costs around $50,000 per hypothesis. All steps from this loop now fit in AI trading text box. Plain English in, executable strategy out, five-year backtest in 12 seconds, live on a broker 90 seconds after you typed the sentence. He runs $200M with AI. You can run same AI fund in two clicks, free to try: Step 6 on this loop is where everyone is stuck. Your agent has no memory. Every strategy it kills goes into a log nobody reads, and the next one starts from zero. Nobody keeps negative results. Not Citadel, not Man Group, not a single repo on GitHub. Fix that and the agent remembers every hypothesis it killed and the regime it died in. It stops burning cycles on your old mistakes. Jane Street pays 3,500 people to run this cycle and made $39.6 billion doing it. Five sixths of it is now free. Bookmark & read full map of this loop in the article below. Most people still think AI trading is out of reach for them - it isn't. Don't want to spend a dollar for testing this? Kalshi just opened a perps exchange and gives US users $25 free to start ->

A finance professor manages $200M with AI agents, and he told everyone why: "Large language models are at the level of a fourth-year PhD student in every field" Alejandro Lopez-Lira's AI fund, Autopilot, returned 56% last year. The S&P did 16%. There are 52,000 people with money in it, and most of them just watch the machine work. What he automated is the same six-step loop every fund on earth runs: find an idea, code it, backtest it, deploy it, read the autopsy, learn from it. A quant at Two Sigma runs that loop once a month, and the salary time alone costs around $50,000 per hypothesis. All steps from this loop now fit in AI trading text box. Plain English in, executable strategy out, five-year backtest in 12 seconds, live on a broker 90 seconds after you typed the sentence. He runs $200M with AI. You can run same AI fund in two clicks, free to try: Step 6 on this loop is where everyone is stuck. Your agent has no memory. Every strategy it kills goes into a log nobody reads, and the next one starts from zero. Nobody keeps negative results. Not Citadel, not Man Group, not a single repo on GitHub. Fix that and the agent remembers every hypothesis it killed and the regime it died in. It stops burning cycles on your old mistakes. Jane Street pays 3,500 people to run this cycle and made $39.6 billion doing it. Five sixths of it is now free. Bookmark & read full map of this loop in the article below. Most people still think AI trading is out of reach for them - it isn't. Don't want to spend a dollar for testing this? Kalshi just opened a perps exchange and gives US users $25 free to start ->

cvxv666

83,134 次观看 • 1 个月前

What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch

What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch

GREG ISENBERG

84,760 次观看 • 3 个月前