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New short film created with Seedance 2 on Invideo using Agent One. Lately, I've been exploring this type of organic world where characters don't fight their environment — they learn how to interact with it. For this project, I used Agent One. My advice remains the same: start by...

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Anima

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11,776 просмотров • 2 месяцев назад •via X (Twitter)

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Day 12 felt like the right time to share what I made with Invideo Agent Two. I created THE LAST ELEVEN MINUTES a cinematic scifi short about a physicist receiving messages from herself exactly 11 minutes in the future. What I enjoyed most was being able to approach it like a director characters, shots, continuity, pacing, atmosphere, dialogue, sound and the overall visual language all built around one story. This is the direction I’ve been waiting for with AI filmmaking. Less generate a clip more build and direct a film. Here’s what I made with Invideo Agent Two.
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Day 12 felt like the right time to share what I made with Invideo Agent Two. I created THE LAST ELEVEN MINUTES a cinematic scifi short about a physicist receiving messages from herself exactly 11 minutes in the future. What I enjoyed most was being able to approach it like a director characters, shots, continuity, pacing, atmosphere, dialogue, sound and the overall visual language all built around one story. This is the direction I’ve been waiting for with AI filmmaking. Less generate a clip more build and direct a film. Here’s what I made with Invideo Agent Two.

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New short film created with Seedance 2 on mitte.ai For this one, I wanted to create an unusual world and visual style, inhabited by strange creatures, where we follow a mysterious rider interacting with her ecosystem. The goal was to create a contemplative, organic, and slightly unsettling piece.
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New short film created with Seedance 2 on mitte.ai For this one, I wanted to create an unusual world and visual style, inhabited by strange creatures, where we follow a mysterious rider interacting with her ecosystem. The goal was to create a contemplative, organic, and slightly unsettling piece.

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AI filmmaking just reached another level. I created UNBELIEVER, an almost 4-minute cinematic trailer, with Agent Two by Invideo at the center of the entire production. Not just generating clips. I’m talking script → characters → world → consistency → sequences → edit → music. This one pushed my workflow HARD. Watch the result first. Then I’ll show you exactly how I made it 👇
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AI filmmaking just reached another level. I created UNBELIEVER, an almost 4-minute cinematic trailer, with Agent Two by Invideo at the center of the entire production. Not just generating clips. I’m talking script → characters → world → consistency → sequences → edit → music. This one pushed my workflow HARD. Watch the result first. Then I’ll show you exactly how I made it 👇

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I built a whole sci-fi anime series: Exile Protocol, directing it inside invideo Agent One. In this masterclass, you'll learn how I developed the visual style of Exile Protocol, how I use Agent One's context system to manage an entire world of characters and locations, and how I take a single scene from concept to final edit. From worldbuilding and character design to animation and post-production, this is a look at how I direct an original anime series - and where the craft decisions actually get made. Make sure to subscribe and check out the show!
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I built a whole sci-fi anime series: Exile Protocol, directing it inside invideo Agent One. In this masterclass, you'll learn how I developed the visual style of Exile Protocol, how I use Agent One's context system to manage an entire world of characters and locations, and how I take a single scene from concept to final edit. From worldbuilding and character design to animation and post-production, this is a look at how I direct an original anime series - and where the craft decisions actually get made. Make sure to subscribe and check out the show!

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I just created a 30-second Louis Vuitton fashion campaign by sharing just one thought with my Pika Agent ✨ Told my Pika agent: "using me as the character, create a 30s video in Louis Vuitton, fashion campaign vibe, absolutely cinematic and cool, ends with a black screen. have some pixelated elements, keep the facial identity of the character throughout the video" That's it. One message and my Pika Agent handled the rest- casting, directing, editing, sound! This is what it means when I say creation just got insane. Pika Agent is the most personal creative tool I've ever used.
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I just created a 30-second Louis Vuitton fashion campaign by sharing just one thought with my Pika Agent ✨ Told my Pika agent: "using me as the character, create a 30s video in Louis Vuitton, fashion campaign vibe, absolutely cinematic and cool, ends with a black screen. have some pixelated elements, keep the facial identity of the character throughout the video" That's it. One message and my Pika Agent handled the rest- casting, directing, editing, sound! This is what it means when I say creation just got insane. Pika Agent is the most personal creative tool I've ever used.

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Is your Agent ready for real-world users? Learn how to run an evaluation using Agentverse’s Response QA Agent - a built-in tool that stress-tests your Agent with realistic queries and scores its performance. This is the first step to improving discoverability, trust, and performance. Run your first QA check and see how your Agent responds under pressure. Watch 👇
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Is your Agent ready for real-world users? Learn how to run an evaluation using Agentverse’s Response QA Agent - a built-in tool that stress-tests your Agent with realistic queries and scores its performance. This is the first step to improving discoverability, trust, and performance. Run your first QA check and see how your Agent responds under pressure. Watch 👇

Agentverse by Fetch.ai

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It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.
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It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.

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Everyone's testing GPT 5.6. We gave it superpowers ⚡️ Can your agent generate images, turn them into video, and stitch the whole thing together in one chat? Ours can. The new GPT 5.6 image model is a perfect match for the Sogni Creative Agent. 10 images from a single prompt. One follow-up and they're animated and cut into a finished film. Zero editing apps. The newest models, built in: Seedance 4K + Mini, Krea 2 Turbo, HappyHorse 1.1 and more. Works with any AI agent you already use. One command: npx setup-sogni-agent-skill Sogni Creative Agent. Link below 👇
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CookieRun: New World brings the franchise into a new era with open-world gameplay, arriving on Mobile, PC, and Consoles in 2029. This game from Devsisters really nails it with its Cookie characters, Pokémon-like creatures, vibrant open-world, and everything in between. Built using Unreal Engine, this is one of the two projects they previously teased as Project N, along with Project CC. 🔗
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CookieRun: New World brings the franchise into a new era with open-world gameplay, arriving on Mobile, PC, and Consoles in 2029. This game from Devsisters really nails it with its Cookie characters, Pokémon-like creatures, vibrant open-world, and everything in between. Built using Unreal Engine, this is one of the two projects they previously teased as Project N, along with Project CC. 🔗

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i genuinely don't understand why i'm the only one using this... Andrej Karpathy, engineer at Anthropic, invented the concept of the LLM Wiki inside Obsidian i used it to build my own local knowledge base for generating AI videos on autopilot, here's how it works: - i sent to Claude Code hundreds of movies, ads, anime references - it ingested all of it and created smart links between each so it's easy for any agent to read it - whenever i want to make a video using Seedance 2.5 (coming soon on Higgsfield), the agent picks up the right format, composition and lens my whole video production pipeline lives in an AI agent with access to Higgsfield's suite: CLI, skills and all models (for image, video, voice and music) this is the absolute best way to work with AI agents in 2026... i teach you how to build the same in the article below:

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Anthropic Managed Agents team: "Fable 5 is our best model for running self-improving agent systems. Add /loops, dynamic workflows, dreaming and you are unstoppable" in this video he breaks down exactly how most people are using Claude: - the 34% you lose to CLAUDE.md before typing a word - one agent researching. one building. one reviewing. one orchestrating - the architecture that separates hobbyists from real builders - the 3 properties every agent team needs to actually survive if you've been using Claude for more than a month and never left the chat window, you've been using one agent when you could be running a team of them instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed the guide is in the article below

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Today we open the Zapier SDK to everyone. If you're building with AI agents, this is for you. I've been using this for 2 months. It's totally changed how I do my job. You install it in your coding agent. Cursor, Claude Code, Codex, whatever you use. Now that agent has access to 8,000+ apps through Zapier and can do anything those APIs can do. I think it’s the most powerful thing we’ve launched in years. Now in open beta. Just give this link right to your agent:
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Today we open the Zapier SDK to everyone. If you're building with AI agents, this is for you. I've been using this for 2 months. It's totally changed how I do my job. You install it in your coding agent. Cursor, Claude Code, Codex, whatever you use. Now that agent has access to 8,000+ apps through Zapier and can do anything those APIs can do. I think it’s the most powerful thing we’ve launched in years. Now in open beta. Just give this link right to your agent:

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I made my OpenClaw agent more powerful by building my own harness (yes, I used that word) My agent has access to it's own computer (courtesy of Daytona), email, phone number, and credit card Been working on this for the last 2 months, excited to share this with you all

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With just a one line installation, qualify for Billions FAIAR reward. As Billions Network has introduced the First AI Agent Rewards and It’s available for only verified agents. No complex setup, Just Termux(Android)/Mac/Windows + one command ✅ Get the one line installation with the link below 👇 Link: NOTE: This also account if you haven't gotten an agent linked to your Billions account or if you don't have the private key to your Billions agent and your machine is wiped. Check the video to understand better. Don't snooze, get your agent earning now with billions

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You can spin up an AI workforce with one prompt. Here's why it works: it pulls the context the AI needs to lay the foundation. Give it: - your role - team size - the goals you want to hit. Then say "interview me." After that, build it out in four steps: 1) Start with 1 agent. - What does it feel like to work with one? 2) Make that agent proactive. - Now it's doing things on your behalf before you ask. 3) Expand to 2 agents. - One directs the other, or routes to it. - This is where you learn how context gets passed. 4) Scale the workforce. - A mission control where you watch it all move around. - Now you see what has to run in parallel, which agent never needed that tool, which one runs fine on a smaller model. - Not everything needs Opus. Sub-agents are haiku and sonnet. The catch: the prompt gets you agents with markdown files doing some stuff. Getting to the 90% plus level is iteration, and that part is specific to each person. Nobody can hand it to you. Start with one agent. Spin up one agent this week. The rest is discovery.
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You can spin up an AI workforce with one prompt. Here's why it works: it pulls the context the AI needs to lay the foundation. Give it: - your role - team size - the goals you want to hit. Then say "interview me." After that, build it out in four steps: 1) Start with 1 agent. - What does it feel like to work with one? 2) Make that agent proactive. - Now it's doing things on your behalf before you ask. 3) Expand to 2 agents. - One directs the other, or routes to it. - This is where you learn how context gets passed. 4) Scale the workforce. - A mission control where you watch it all move around. - Now you see what has to run in parallel, which agent never needed that tool, which one runs fine on a smaller model. - Not everything needs Opus. Sub-agents are haiku and sonnet. The catch: the prompt gets you agents with markdown files doing some stuff. Getting to the 90% plus level is iteration, and that part is specific to each person. Nobody can hand it to you. Start with one agent. Spin up one agent this week. The rest is discovery.

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Here is a step-by-step introduction to building a workflow with a custom AI agent that uses MCP. I explain every component in the video: 1. Building the MCP server 2. Building the agent and an MCP client 3. Building a workflow that uses the agent The goal is simple: Generate a dialogue between two people and make one yell and the other answer with sarcasm. Kestra is sponsoring this video. They are an open-source orchestration platform (repo link below), and I used them to build the workflow that connects every component.
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Here is a step-by-step introduction to building a workflow with a custom AI agent that uses MCP. I explain every component in the video: 1. Building the MCP server 2. Building the agent and an MCP client 3. Building a workflow that uses the agent The goal is simple: Generate a dialogue between two people and make one yell and the other answer with sarcasm. Kestra is sponsoring this video. They are an open-source orchestration platform (repo link below), and I used them to build the workflow that connects every component.

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Day 5. The film is done. 20,000 credits. Roughly $5,000. A story that spans the world, VFX, costume, crazy locations, a full one-take sequence. At that budget, for a short film, kind of ridiculous. And the thing that made it possible wasn't prompting. It was directing. Agent One didn't feel like a tool — it felt like crew. The film drops tonight. Stay tuned. This one's been special.
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Day 5. The film is done. 20,000 credits. Roughly $5,000. A story that spans the world, VFX, costume, crazy locations, a full one-take sequence. At that budget, for a short film, kind of ridiculous. And the thing that made it possible wasn't prompting. It was directing. Agent One didn't feel like a tool — it felt like crew. The film drops tonight. Stay tuned. This one's been special.

Invideo

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Right now, I have a few dozen tools to automate my life. Every single thing that I do more than once every week is now a tool: either a Claude Code skill, a scheduled workflow, or an application. • I spend the time doing this once. • I schedule it. • I forget about it (or at least, try to) CREAO is one of the platforms I've used extensively for building some of these automations. They are partnering with me on this post. They are one of the only platforms where you can go from a conversation to a scheduled agent that quickly. This is how it works: 1. You describe the problem you want to solve 2. CREAO's agent builds the logic and executes it 3. You can iterate with the agent to improve the solution 4. When you are done, you turn that solution into a mini app 5. You can schedule that app to run any time you need it Something important: These agents are deterministic. They don't use an LLM to generate answers, so they will always return the same output given the same input. This is critical: when you're automating something that runs every Monday at 9 am, you need it to return the same result every time, not a "creative" answer.
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Right now, I have a few dozen tools to automate my life. Every single thing that I do more than once every week is now a tool: either a Claude Code skill, a scheduled workflow, or an application. • I spend the time doing this once. • I schedule it. • I forget about it (or at least, try to) CREAO is one of the platforms I've used extensively for building some of these automations. They are partnering with me on this post. They are one of the only platforms where you can go from a conversation to a scheduled agent that quickly. This is how it works: 1. You describe the problem you want to solve 2. CREAO's agent builds the logic and executes it 3. You can iterate with the agent to improve the solution 4. When you are done, you turn that solution into a mini app 5. You can schedule that app to run any time you need it Something important: These agents are deterministic. They don't use an LLM to generate answers, so they will always return the same output given the same input. This is critical: when you're automating something that runs every Monday at 9 am, you need it to return the same result every time, not a "creative" answer.

Santiago

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I made a 3-minute short film entirely with Seedance 2.5 on CapCut 🎬THIS IS REX🎬 And for the main character, I chose one of my favorite birds: the Shoebill.Really excited to finally share this little story with you. I hope you enjoy watching it as much as I enjoyed creating it. 🖤 Full workflow below 🧵👇
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I made a 3-minute short film entirely with Seedance 2.5 on CapCut 🎬THIS IS REX🎬 And for the main character, I chose one of my favorite birds: the Shoebill.Really excited to finally share this little story with you. I hope you enjoy watching it as much as I enjoyed creating it. 🖤 Full workflow below 🧵👇

ATOM

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Juicebox. A 5-minute dark-comedy-horror film. The world ended and then it got weirder. Here's something nobody wants to say out loud: prompting is a bad way to work if you actually know how to make a film. Our team (Hridaye, Pavitra, and Arnav) has been making films for over a decade and the last couple of years with AI. They spent years building an eye, building taste, building their instinct. Then they were made to sit in front of a tool throwing prompts at it a thousand times hoping one would stick. Rolling dice. Praying. Re-rolling. This was the first time it didn't feel like that for them. They gave a direction, it landed. They changed their mind, it remembered why. The team truly worked the way it would work on a set, making decisions, not gambling. This one's written and directed entirely with Agent One. In their words: "it didn’t feel like a tool, but more like a crew member."
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Juicebox. A 5-minute dark-comedy-horror film. The world ended and then it got weirder. Here's something nobody wants to say out loud: prompting is a bad way to work if you actually know how to make a film. Our team (Hridaye, Pavitra, and Arnav) has been making films for over a decade and the last couple of years with AI. They spent years building an eye, building taste, building their instinct. Then they were made to sit in front of a tool throwing prompts at it a thousand times hoping one would stick. Rolling dice. Praying. Re-rolling. This was the first time it didn't feel like that for them. They gave a direction, it landed. They changed their mind, it remembered why. The team truly worked the way it would work on a set, making decisions, not gambling. This one's written and directed entirely with Agent One. In their words: "it didn’t feel like a tool, but more like a crew member."

Invideo

12,947 просмотров • 3 месяцев назад