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You can use our agent programmatically. Here's an example that creates a template for a math question and reviews a student's work by annotating the canvas. It manipulates the canvas using the same tools as the student to give feedback and guidance without giving away the answers.

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22,302 görüntüleme • 8 ay önce •via X (Twitter)

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Watching the agent work on a canvas narrow experiment

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I’ve made a little AI copilot for Origami Studio. Think of it as a tiny code editor that sits on top of Origami's canvas and lets you generate patches using GPT-4 – all within the same surface. It’s a native macOS app and you can get it here:

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The Oasis mini, using sand as a canvas for kinetic art

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The aim was to give the same UX as using your card, but without any middlemen, here's a demo of it in action:

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This is probably the biggest news yet in software going headless, and will bring knowledge work agents to the masses. The new ChatGPT agents have access to any of the tools and data you want to work with, with complete coding and tool use available to them. Here's an example of a custom sales assistant agent uses Box as a knowledge source for accessing enterprise content securely to answer questions and generate new content on the fly. The workflows can obviously vastly far more complex as the agent can use any of the tools within Box available via MCP and CLI. This precisely what agents will start to look like for knowledge work. You'll be able to spin them up in the foreground or background to help augment work. Big opportunity right now for headless platforms, and for all the new builders and designers of these agents in the enterprise.

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Found a dream plugin for making typography scales, it creates: – Variables – Styles with variables as values – Sticker sheet on the canvas And you can build ramps based on a ratio/calculation as well, saving a tonne of time

Found a dream plugin for making typography scales, it creates: – Variables – Styles with variables as values – Sticker sheet on the canvas And you can build ramps based on a ratio/calculation as well, saving a tonne of time

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🎨 Introducing Prompt Canvas — a novel UX for prompt engineering Building LLM applications requires new and dedicated tools for prompt engineering. With Prompt Canvas in LangSmith, you can: • Collaborate with an AI agent to draft, refine, and edit your prompts • Define custom quick actions to standardize prompting strategies used across the org ✍️ Learn more: ➡️ Try it out:

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🤖 HYTOPIA AI Agents Society (Start Building!) 🎮 We've just added the "ai-agents" example to our SDK, which is a starting point of a game with an AI Agent Society! You can use this example as a template to build your own AI agents for a HYTOPIA game:

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I'm delighted to say that Genie, our fully automated SWE agent is finally GA. It achieves a new SOTA score on the SWE-Lancer benchmark earning $88k with a 49% resolution rate – significantly out-earning any frontier reasoning model, for a fraction of the cost. Genie can work with you, or fully autonomously, and integrates with all of the tools developers love to use. Go give it a try on I'd love to hear any feedback!

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