Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

we got used to AI coding agents that can actually work inside a codebase. now imagine that idea applied to creative work. that's the idea behind Voyager that stood out to me. a desktop AI app that can work with your files and orchestrate tools like After Effects, DaVinci... show more

Rony

97,906 subscribers

82,420 views • 15 days ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Adobe might have some serious competition coming 😭 Voyager just launched an AI harness that can work across 100+ creative tools. Blender, After Effects, DaVinci Resolve, Unity and more. Instead of learning another tool, AI starts working with the ones you already use.

Adobe might have some serious competition coming 😭 Voyager just launched an AI harness that can work across 100+ creative tools. Blender, After Effects, DaVinci Resolve, Unity and more. Instead of learning another tool, AI starts working with the ones you already use.

HOW THINGS WORK

63,247 views • 15 days ago

I spend way too much time switching between tools just to get one campaign out. Trying Fetra AI AI made me realize how much of that work can happen in one place. You paste your website, it understands your brand, generates content, and even helps publish it. A few features that stood out 👇

LX™

40,651 views • 2 months ago

You can now use Claude inside After Effects. Higgsfield's new MCP connector lets Claude work inside your actual AE project. It can build compositions, set keyframes, write expressions, and run the repetitive ExtendScript work for you, and everything it makes becomes an editable AE scene. More creative tools should work this way: an assistant that does the routine work while you keep full manual control. Try it here:

You can now use Claude inside After Effects. Higgsfield's new MCP connector lets Claude work inside your actual AE project. It can build compositions, set keyframes, write expressions, and run the repetitive ExtendScript work for you, and everything it makes becomes an editable AE scene. More creative tools should work this way: an assistant that does the routine work while you keep full manual control. Try it here:

elvis

14,649 views • 3 months ago

I’m joining OpenAI Codex to work on the future of agentic development! At Cursor, I got to see the shift from autocomplete to agents. The next step isn’t a better IDE. It’s an Agent Development Environment (ADE): systems and tools for orchestrating agents, reasoning over their outputs, and making them autonomous enough to reliably complete ambitious work. After chatting with Alexander Embiricos and Tibo, it was clear that Codex is the best place to realize this vision. The team has consistently shipped SOTA models for agentic coding (check out gpt-5.3-codex) and I’m pumped for the future that the new Codex App points to. What I’m most excited about is the broader mission: accelerating the knowledge work economy. All agents are coding agents, and we’re already seeing Codex used across every job function within organizations. I’m extremely grateful for my time at Cursor, working with the incredible team, and I’m proud of what we built together. I’m excited to take an even bigger swing with Codex. If you’re curious to get a glimpse of where we are headed, download the Codex App! If you want to work on this mission, please apply or reach out - we are hiring across all functions! You can just build things.

I’m joining OpenAI Codex to work on the future of agentic development! At Cursor, I got to see the shift from autocomplete to agents. The next step isn’t a better IDE. It’s an Agent Development Environment (ADE): systems and tools for orchestrating agents, reasoning over their outputs, and making them autonomous enough to reliably complete ambitious work. After chatting with Alexander Embiricos and Tibo, it was clear that Codex is the best place to realize this vision. The team has consistently shipped SOTA models for agentic coding (check out gpt-5.3-codex) and I’m pumped for the future that the new Codex App points to. What I’m most excited about is the broader mission: accelerating the knowledge work economy. All agents are coding agents, and we’re already seeing Codex used across every job function within organizations. I’m extremely grateful for my time at Cursor, working with the incredible team, and I’m proud of what we built together. I’m excited to take an even bigger swing with Codex. If you’re curious to get a glimpse of where we are headed, download the Codex App! If you want to work on this mission, please apply or reach out - we are hiring across all functions! You can just build things.

Rohan Varma

760,250 views • 8 months ago

AI video just took a serious step forward. Seedance 2.0 4K changes what AI-generated content can look like. This isn’t just a higher resolution upgrade. It’s the difference between an AI video that looks generated and one that feels ready for real creative work. The extra details in hair, lighting, and product textures make the result feel much closer to a real commercial. AI video is moving from impressive demos to content creators can actually use. Check it out:

AI video just took a serious step forward. Seedance 2.0 4K changes what AI-generated content can look like. This isn’t just a higher resolution upgrade. It’s the difference between an AI video that looks generated and one that feels ready for real creative work. The extra details in hair, lighting, and product textures make the result feel much closer to a real commercial. AI video is moving from impressive demos to content creators can actually use. Check it out:

Ace

106,720 views • 3 months ago

Agents are the future of AI creative tools. And the new Grok Imagine Agent is a great one! It feels like a smart partner that you can brainstorm and iterate with - it does the heavy lifting of writing prompts + building out the canvas. Watch me build a froyo brand 👇

Justine Moore

31,430 views • 5 months ago

🚨 WOW! Rep. Brandon Gill (R-TX) is going HARD against visa abuse by corporations “The idea that we would bring in a 7-Eleven worker from INDIA or anywhere across the globe to work at a GAS STATION because we can't find Americans to work behind the counter… that's ASININE. It's IDIOTIC, and we ALL know it.”

🚨 WOW! Rep. Brandon Gill (R-TX) is going HARD against visa abuse by corporations “The idea that we would bring in a 7-Eleven worker from INDIA or anywhere across the globe to work at a GAS STATION because we can't find Americans to work behind the counter… that's ASININE. It's IDIOTIC, and we ALL know it.”

Nick Sortor

174,545 views • 6 months ago

Got tired of watching my agents work through a chat interface, so I gave them an office instead! Now I can watch them run around doing tasks, and when they’re done, they drop their work in my mailbox This visual interface is a wrapper around OpenAI ChatGPT Desktop App. They're the same codex agents...but now you can actually see them work in real-time!

Got tired of watching my agents work through a chat interface, so I gave them an office instead! Now I can watch them run around doing tasks, and when they’re done, they drop their work in my mailbox This visual interface is a wrapper around OpenAI ChatGPT Desktop App. They're the same codex agents...but now you can actually see them work in real-time!

david lietjauw

240,138 views • 1 month ago

Voyager just shipped the Codex for creative work. Here are the 4 jobs it (actually) takes off you: 1. drawing the character sheet before you can start 2. planning every shot by hand 3. jumping between Seedance, Blender and Resolve yourself 4. finding music that fits You still bring your own ChatGPT, Claude, Fal or Higgsfield subscription, that's how it stays free. What would you make with it first?

Voyager just shipped the Codex for creative work. Here are the 4 jobs it (actually) takes off you: 1. drawing the character sheet before you can start 2. planning every shot by hand 3. jumping between Seedance, Blender and Resolve yourself 4. finding music that fits You still bring your own ChatGPT, Claude, Fal or Higgsfield subscription, that's how it stays free. What would you make with it first?

Muhammad Ayan

34,915 views • 15 days ago

What if the iPhone Duo launch ad looked like this? GPT Image 2.5 for key visuals. MiniMax H3 for motion, cinematography, and final video. Now they work together inside MiniMax Design — from a product idea to a polished ad in one creative workflow.

What if the iPhone Duo launch ad looked like this? GPT Image 2.5 for key visuals. MiniMax H3 for motion, cinematography, and final video. Now they work together inside MiniMax Design — from a product idea to a polished ad in one creative workflow.

Nayeem Sheikh

232,603 views • 1 month ago

It's true, most AI coding tools make you do the grunt testing and debugging work. That's why we invested in researching and building a state-of-the-art app testing tool. Replit Agent 3 will spin up a browser and test your app end-to-end.

It's true, most AI coding tools make you do the grunt testing and debugging work. That's why we invested in researching and building a state-of-the-art app testing tool. Replit Agent 3 will spin up a browser and test your app end-to-end.

Amjad Masad

110,113 views • 10 months ago

this is straight f*cking gold 297 pages on building a $100K/month business with zero employees. 8 parts, 40 chapters, 50 links most founders still pay people to research leads, update CRMs and write reports while the AI sits on the sidelines making suggestions the stack it walks you through: > Kimi K3 - the brain behind the business > Kimi Code - the hands that do the work > Skills - encode your best employee once, reuse them forever > MCP - keys to the systems that actually matter > AgentSwarm - scale one agent into a workforce there's a full case study inside: the idea, the agents, the real revenue and infra numbers, and everything that broke on the way growth used to scale with payroll now it scales with how many expensive workflows you can rip out without breaking anything one founder + the right systems = $100K/month without the payroll that used to come with it

this is straight f*cking gold 297 pages on building a $100K/month business with zero employees. 8 parts, 40 chapters, 50 links most founders still pay people to research leads, update CRMs and write reports while the AI sits on the sidelines making suggestions the stack it walks you through: > Kimi K3 - the brain behind the business > Kimi Code - the hands that do the work > Skills - encode your best employee once, reuse them forever > MCP - keys to the systems that actually matter > AgentSwarm - scale one agent into a workforce there's a full case study inside: the idea, the agents, the real revenue and infra numbers, and everything that broke on the way growth used to scale with payroll now it scales with how many expensive workflows you can rip out without breaking anything one founder + the right systems = $100K/month without the payroll that used to come with it

Mr. Buzzoni

44,700 views • 1 month ago

[Q]: Can you tell us how this free economic zone would work in the Donbas, in land that the Russians took by force? President Trump: I don't want to do that now. It's a very complex situation, but it would work. And a lot of people want to see it work.

[Q]: Can you tell us how this free economic zone would work in the Donbas, in land that the Russians took by force? President Trump: I don't want to do that now. It's a very complex situation, but it would work. And a lot of people want to see it work.

Anton Gerashchenko

220,466 views • 10 months ago

If you think this is just another silly demo made with AI, read this post. You might change your mind, because this demo is about MATH. What you see on the screen is not a render from Blender (obviously, it’s not that good). It’s a three.js app built with Toolcraft. Available on the web and rendered in real time(link in the comments). But Blender still has a lot to do with it. Blender has Geometry Nodes - a powerful node-based system for creating and manipulating procedural geometry. In other words, it’s math. And math is a universal language. And who do you think is pretty good at math? >>> AI. Now you can download or buy Blender files from marketplaces, and when they contain Geometry Nodes for procedural animations, objects, surfaces, or effects, you can transfer that logic to the web. Make it real-time, make it interactive. Materials are a separate story, of course. They can still suck unless you use the right tricks: PBR, HDRIs, material blending, displacement, and faked surface relief. So why is Blender important here? Blender is open source, and many tools around it are open source too. An AI trained on their code. That means it can translate the math from one environment to another quite accurately. If you’ve been struggling to reproduce some idea with AI that you had in your head or seen in some references, and it has something to do with Geometry Nodes, and you can find that idea or a close one in the Blender ecosystem - it means you can transfer it to the web. Thank me later.

If you think this is just another silly demo made with AI, read this post. You might change your mind, because this demo is about MATH. What you see on the screen is not a render from Blender (obviously, it’s not that good). It’s a three.js app built with Toolcraft. Available on the web and rendered in real time(link in the comments). But Blender still has a lot to do with it. Blender has Geometry Nodes - a powerful node-based system for creating and manipulating procedural geometry. In other words, it’s math. And math is a universal language. And who do you think is pretty good at math? >>> AI. Now you can download or buy Blender files from marketplaces, and when they contain Geometry Nodes for procedural animations, objects, surfaces, or effects, you can transfer that logic to the web. Make it real-time, make it interactive. Materials are a separate story, of course. They can still suck unless you use the right tricks: PBR, HDRIs, material blending, displacement, and faked surface relief. So why is Blender important here? Blender is open source, and many tools around it are open source too. An AI trained on their code. That means it can translate the math from one environment to another quite accurately. If you’ve been struggling to reproduce some idea with AI that you had in your head or seen in some references, and it has something to do with Geometry Nodes, and you can find that idea or a close one in the Blender ecosystem - it means you can transfer it to the web. Thank me later.

Alex Barashkov

28,300 views • 3 months ago

It’s insane that we can now create movie magic on an iPhone. Pre-AI, this would’ve taken hours of VFX work and rendering. Now I take a video on family vacation, upload it to an app, and type a one-line prompt.

It’s insane that we can now create movie magic on an iPhone. Pre-AI, this would’ve taken hours of VFX work and rendering. Now I take a video on family vacation, upload it to an app, and type a one-line prompt.

Justine Moore

37,490 views • 1 year ago

just started working on my fourth app my gf gave me the idea and i'm excited to work on it basically an app where you can see all your clothes and plan outfits for the week building with Anything and designing with Sleek

just started working on my fourth app my gf gave me the idea and i'm excited to work on it basically an app where you can see all your clothes and plan outfits for the week building with Anything and designing with Sleek

Nathan Geckler

17,607 views • 5 months ago

I think one of the biggest problems with AI agents right now is how much control we give up just to use them. Most AI agent platforms want you to work inside their ecosystem, use their preferred models, and trust them with your files and data. That might be convenient, but I don't think it should be the only option. I recently came across PilotDeck, and I found its approach pretty interesting. It's an open-source AI agent workspace developed by Tsinghua University's THUNLP, ModelBest, OpenBMB, and AI9Stars. The idea is simple: instead of being tied to one AI provider, you should have more freedom to decide how your agent works. And there are a few things worth looking at here. First, model independence. Most people focus on which AI model is the smartest, but I think having the freedom to choose your model is equally important. PilotDeck supports different model providers and configurable API endpoints. This means you're not necessarily stuck with one company's models. You can choose a setup based on your budget, performance needs, or the type of task you're working on. For developers who regularly experiment with different AI models, I think that's a pretty useful approach. Second, privacy and control over your workspace. This is probably the part that interests me the most. AI agents are increasingly being used to handle research papers, financial documents, spreadsheets, presentations, and other personal or business files. And once you start giving an agent access to that kind of information, where your files are processed becomes an important question. PilotDeck supports local workspaces and offers options for local or private deployment. That gives users more flexibility over how their environment is configured, rather than relying entirely on a closed platform. Of course, privacy still depends on which model provider and API you connect. Using a local workspace doesn't automatically mean your data never leaves your device. But having the option to control the setup is a meaningful difference. Third, it's designed to actually complete work. Another thing I like about the approach is that PilotDeck isn't just trying to be another chatbot. It's built around an agent workflow where you describe a task, the system plans the steps, works with files, uses tools, and produces an output you can still edit. For example, imagine giving an AI agent multiple research documents and asking it to organize the information into an Excel spreadsheet and prepare a PowerPoint presentation. Instead of getting a long text response that you need to manually copy into different applications, the goal is to have the agent handle the workflow and deliver usable files. It also supports task history, result previews, switching models, and changing instructions while a task is running. I think this is where AI agents become more practical for everyday work. And finally, there's the open-source aspect. Personally, I think we're going to see more demand for AI tools that don't force users into one vendor's ecosystem. Models are improving quickly, and the best option today might not be the best option six months from now. Having an agent workspace that can work with different models makes a lot more sense to me than rebuilding your entire workflow every time you want to switch providers. There are still things I'd want to test properly, especially how reliable it is on longer tasks, how easy the setup is for non-technical users, and what the actual privacy trade-offs are with different model configurations. But I like the direction PilotDeck is taking. I don't think the future of AI agents should be about which company controls your entire workflow. It should be about how much control you have over the tools doing the work. And that's why I think open-source, model-independent projects like PilotDeck are worth paying attention to. If you're interested in building AI workflows with more flexibility, check it out. Website: GitHub:

I think one of the biggest problems with AI agents right now is how much control we give up just to use them. Most AI agent platforms want you to work inside their ecosystem, use their preferred models, and trust them with your files and data. That might be convenient, but I don't think it should be the only option. I recently came across PilotDeck, and I found its approach pretty interesting. It's an open-source AI agent workspace developed by Tsinghua University's THUNLP, ModelBest, OpenBMB, and AI9Stars. The idea is simple: instead of being tied to one AI provider, you should have more freedom to decide how your agent works. And there are a few things worth looking at here. First, model independence. Most people focus on which AI model is the smartest, but I think having the freedom to choose your model is equally important. PilotDeck supports different model providers and configurable API endpoints. This means you're not necessarily stuck with one company's models. You can choose a setup based on your budget, performance needs, or the type of task you're working on. For developers who regularly experiment with different AI models, I think that's a pretty useful approach. Second, privacy and control over your workspace. This is probably the part that interests me the most. AI agents are increasingly being used to handle research papers, financial documents, spreadsheets, presentations, and other personal or business files. And once you start giving an agent access to that kind of information, where your files are processed becomes an important question. PilotDeck supports local workspaces and offers options for local or private deployment. That gives users more flexibility over how their environment is configured, rather than relying entirely on a closed platform. Of course, privacy still depends on which model provider and API you connect. Using a local workspace doesn't automatically mean your data never leaves your device. But having the option to control the setup is a meaningful difference. Third, it's designed to actually complete work. Another thing I like about the approach is that PilotDeck isn't just trying to be another chatbot. It's built around an agent workflow where you describe a task, the system plans the steps, works with files, uses tools, and produces an output you can still edit. For example, imagine giving an AI agent multiple research documents and asking it to organize the information into an Excel spreadsheet and prepare a PowerPoint presentation. Instead of getting a long text response that you need to manually copy into different applications, the goal is to have the agent handle the workflow and deliver usable files. It also supports task history, result previews, switching models, and changing instructions while a task is running. I think this is where AI agents become more practical for everyday work. And finally, there's the open-source aspect. Personally, I think we're going to see more demand for AI tools that don't force users into one vendor's ecosystem. Models are improving quickly, and the best option today might not be the best option six months from now. Having an agent workspace that can work with different models makes a lot more sense to me than rebuilding your entire workflow every time you want to switch providers. There are still things I'd want to test properly, especially how reliable it is on longer tasks, how easy the setup is for non-technical users, and what the actual privacy trade-offs are with different model configurations. But I like the direction PilotDeck is taking. I don't think the future of AI agents should be about which company controls your entire workflow. It should be about how much control you have over the tools doing the work. And that's why I think open-source, model-independent projects like PilotDeck are worth paying attention to. If you're interested in building AI workflows with more flexibility, check it out. Website: GitHub:

Sally Stockholm

13,794 views • 11 days ago