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MasterNodes transforms AE projects into super interactive node graphs, giving a complete visual overview of compositions, precomps, layers, footage, and more across the entire project. Fully synced with the AE timeline and built for complex motion design and compositing workflows

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refenan

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38,269 görüntüleme • 3 ay önce •via X (Twitter)

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New library almost done, can't wait to fill it with all my books 🥰 I've designed and built lots furniture in the past but this has been the most complex and challenging by far. In the past I have mostly worked with plywood. For this project I wanted to build out of solid oak and use Japanese joinery techniques. I don't have time to fabricate complex projects these days, and I wasn't confident enough in my woodworking skills. So I collaborated with a local carpenter. This allowed for so many more interesting design details that I wouldn't have thought of myself. Whatever your furniture needs are, consider being a patron of your local carpenters, cabinetmakers, and woodworkers. Yes it's slower and more expensive than going to IKEA but the process is much more rewarding, and the results will be more unique and long lasting.

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Jan Desktop v0.7.7 is live 💛 This update brings native MLX support on macOS, a broader UX and UI refresh across the app, and better support for developer workflows. You can now upload files in Projects, use the local API server with both local and remote models, and work more smoothly with tools like Claude Code and other CLIs. Update your Jan or download the latest version at

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AI video creation is entering the Skill era. In the past, creating videos like this required complex prompting, constant trial and error, and jumping between multiple AI tools and editing software. But now, with Skills, entire creative workflows can be reused in one click. The camera movement, pacing, editing logic, visual style, and generation process are already built into the Skill. Powered by GPT Image 2.0 + Seedance 2.0 in one flow. This is your personal Al Video Agent. FlovaAI Check how i did it below. #FlovaAl #AlAgent

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OpenAI's AgentKit will be so insane, build every step of agents on one platform. These visual agent builders make the whole process of iterating and launching agents far more efficient. It sits on top of the Responses API and unifies the tools that were previously scattered across SDKs and custom orchestration. It lets developers create agent workflows visually, connect data sources securely, and measure performance automatically without coding every layer by hand. The core of AgentKit is the Agent Builder, a drag-and-drop canvas where each node represents an action, guardrail, or decision branch. Developers can link these nodes into multi-agent workflows, preview results instantly, and version each setup. It supports inline evaluation so that developers can see how changes affect output before deploying. The Connector Registry is a single admin panel that manages how data and tools connect across the OpenAI ecosystem. It centralizes integrations like Google Drive, SharePoint, Dropbox, and Microsoft Teams. Large organizations can govern access and flow of data between agents securely under one global console. ChatKit provides a ready-to-use chat interface for embedding agents inside apps or websites. It manages streaming, message threads, and model reasoning displays automatically. Developers can skin the interface to match their product without writing custom front-end code. Under the hood, all these blocks use the same execution core that runs agent reasoning through OpenAI’s APIs. Workflows in Agent Builder compile down to structured instructions for the Responses API, which handles model calls, tool use, and context passing. Connector Registry handles authentication and routing for external tools, while Evals and RFT provide feedback loops that improve agents over time. This integration means developers no longer need to handle orchestration logic, model evaluation pipelines, or safety layers separately. Everything runs natively within OpenAI’s control plane with managed security, automatic versioning, and built-in testing. In short, AgentKit standardizes the entire life cycle of an AI agent—from visual design to deployment and performance tuning—inside a single unified system.
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OpenAI's AgentKit will be so insane, build every step of agents on one platform. These visual agent builders make the whole process of iterating and launching agents far more efficient. It sits on top of the Responses API and unifies the tools that were previously scattered across SDKs and custom orchestration. It lets developers create agent workflows visually, connect data sources securely, and measure performance automatically without coding every layer by hand. The core of AgentKit is the Agent Builder, a drag-and-drop canvas where each node represents an action, guardrail, or decision branch. Developers can link these nodes into multi-agent workflows, preview results instantly, and version each setup. It supports inline evaluation so that developers can see how changes affect output before deploying. The Connector Registry is a single admin panel that manages how data and tools connect across the OpenAI ecosystem. It centralizes integrations like Google Drive, SharePoint, Dropbox, and Microsoft Teams. Large organizations can govern access and flow of data between agents securely under one global console. ChatKit provides a ready-to-use chat interface for embedding agents inside apps or websites. It manages streaming, message threads, and model reasoning displays automatically. Developers can skin the interface to match their product without writing custom front-end code. Under the hood, all these blocks use the same execution core that runs agent reasoning through OpenAI’s APIs. Workflows in Agent Builder compile down to structured instructions for the Responses API, which handles model calls, tool use, and context passing. Connector Registry handles authentication and routing for external tools, while Evals and RFT provide feedback loops that improve agents over time. This integration means developers no longer need to handle orchestration logic, model evaluation pipelines, or safety layers separately. Everything runs natively within OpenAI’s control plane with managed security, automatic versioning, and built-in testing. In short, AgentKit standardizes the entire life cycle of an AI agent—from visual design to deployment and performance tuning—inside a single unified system.

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MiaoYan is a lightweight, native macOS Markdown editor for writing and notes — one of my open-source macOS projects. It just shipped its biggest update to date, introducing Split View for side-by-side Markdown editing and live preview, with smooth bidirectional scroll sync. This release also brings a full visual refinement, layout cycling between sidebar, list, and focus modes, faster startup with native window animations, and broad performance improvements across editing, preview, and export. Built entirely in Swift, not Electron. MiaoYan is local-first, requires no account, collects no telemetry, and avoids AI features by design. I built it for clean Markdown, performance, and a calm writing environment.
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MiaoYan is a lightweight, native macOS Markdown editor for writing and notes — one of my open-source macOS projects. It just shipped its biggest update to date, introducing Split View for side-by-side Markdown editing and live preview, with smooth bidirectional scroll sync. This release also brings a full visual refinement, layout cycling between sidebar, list, and focus modes, faster startup with native window animations, and broad performance improvements across editing, preview, and export. Built entirely in Swift, not Electron. MiaoYan is local-first, requires no account, collects no telemetry, and avoids AI features by design. I built it for clean Markdown, performance, and a calm writing environment.

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A little sneak peek into one of many animations done for a new project Last9. 🙈 → The motion is in sync with the scroll progress. Created using SCSS and a little bit Svelte magic to control the CSS Variables.
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A little sneak peek into one of many animations done for a new project Last9. 🙈 → The motion is in sync with the scroll progress. Created using SCSS and a little bit Svelte magic to control the CSS Variables.

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Ricky Retouch x The Garden Presenting: ‘Split Logic’ A collection of 100 procedural motion works inspired by analog display systems from the 1970s–90s. Built from screen partitions, coded labels, moving fields, and rule-based color, the series imagines terminals from an unknown system: part diagnostic interface, part speculative machine language. Across the works, information drifts between utility and abstraction. Grids flicker. Signals scatter. Motion emerges through directional noise, shifting points, and algorithmic constraints that never fully settle into order. The surfaces move away from the paper-like texture of earlier collections toward something colder, denser, and more digital. Glow, blur, compression, and instability become part of the material itself.
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Ricky Retouch x The Garden Presenting: ‘Split Logic’ A collection of 100 procedural motion works inspired by analog display systems from the 1970s–90s. Built from screen partitions, coded labels, moving fields, and rule-based color, the series imagines terminals from an unknown system: part diagnostic interface, part speculative machine language. Across the works, information drifts between utility and abstraction. Grids flicker. Signals scatter. Motion emerges through directional noise, shifting points, and algorithmic constraints that never fully settle into order. The surfaces move away from the paper-like texture of earlier collections toward something colder, denser, and more digital. Glow, blur, compression, and instability become part of the material itself.

Lonliboy

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