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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.

tldraw

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22,302 次观看 • 8 个月前 •via X (Twitter)

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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:

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Serno just dropped and it's the first AI tool that doesn't feel like a chatbot. It's a canvas. With a team of expert personas. Who debate before they answer you. Claude, GPT, and Gemini all run the same question side by side. Here's how to use it: 👇

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Watching the agent work on a canvas narrow experiment

Watching the agent work on a canvas narrow experiment

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The Genspark Super Agent / AI Secretary is an absolute game changer! Thanks to the connection with Google tools, I can access numerous functions such as gDrive, Calendar, and Mail, and, for example, get a summary of my emails and answers to further questions. The same goes for Calendar: I can now chat with the various Google tools using Genspark, get an overview, and access them. This significantly boosts productivity! I can get an overview by not only sorting my emails, but also discussing their content with AI and making entries directly in the calendar. An AI secretary became a reality.

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The same kinds of productivity gains we've seen in coding with AI agents are heading to the rest of knowledge work. This is the jump when you go from having a chatbot to being able to actually have an agent go off and do work for minutes or even hours and come back with a complete work output that you then review. Here's an example of the new Box Agent filling out an RFP response from an existing knowledge base. This process would normally take hours to fill out, and requires the full attention of the user doing the work. Now, you provide the Box Agent with the RFP questions, and it will go off, make a plan, extract all the relevant questions, read through existing source material to come up with an answer, and then generate a new word document as the final output. All while you're doing something else. The key to this architecture is that the agent is able to use all of the same tools in the background that a user uses to get work done. The agent can search for documents, read entire files, run scripts and tools in the background, and even be able to write code on the fly to automate tasks it hasn't seen before. And best of all, the Box Agent will (soon) work from the Box MCP and CLI so you can invoke it in any agentic system as a step in a process. This kind of agent complexity would have been impossible even 6 months ago. Models consistently failed at tracking long running tasks or using the right tools at the right moment for the task. But this is all now possible because of models like GPT-5.4, Opus 4.6, and Gemini 3, and is only getting better by the month. Just as we moved from engineers writing code and using AI as an assistant to answer questions, in many areas of knowledge work -like legal, finance, consulting, sales, marketing, and more- when we have a problem we'll just kick off the AI agent to just go work on it for us in the background.

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Guys, we need to talk about this. NOW! I’ve tested a lot of design tools - Paper , Replit ⠕ , Figma Make, and a few others in the same space, and honestly, there’s usually still a lot of struggle. But this feels different. You can start designing without any MCP connection, use an agent to help build the UX, edit directly on the canvas, and yes, it basically has the “Make it Pretty” magic button DANN© has been talking about for a while. And devs can actually work with it too. You can see the code right there. But that’s not even the craziest part. COMPONENTS! Actual components. I’m genuinely in shock. These guys are so good. Feels like the perfect time for a Contra challenge.

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Higgsfield Canvas is LIVE! 🧩 A node-based workspace for team brainstorming and repeatable content pipelines. Plan pre-production and chat directly inside the canvas. Use an agent-built workflow or craft your own.

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Higgsfield AI 🧩

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Introducing Slashspace✨ A canvas first agentic harness for power AI users. We are trying to replace all UIs with one interface for the AI era. For the past 18 months i've been building this and it's finally taking shape towards being the ultimate AI interface for a power AI user. We iterated on the canvas experience many times. Started as RabbitHoles AI with node based conversations. Slashspace is now evolving towards canvas-as-context app - The nodes are all agentic, and you don't need to draw connections and do the manual work. Today we're launching on Product Hunt 😸, and your support will mean a lot! As a solo bootstrapped founder, I've invested a lot into this product, so please show some love! 👀 Some feature highlights • Canvas with multi model, multi modal chats. • Local storage with all canvases stored in your folder system • Agentic nodes that can see all the context on the canvas. • Connect to Cursor sdk and use the cursor's harness locally, but chat on the canvas • Access to all the Composio supported tools on the canvas. s/o KP for hunting our PH launch. s/o to Tibo, Tony Dinh, David & HRG gang for forcing the clarity out of me on repositioning the product

Praneeth Pike

44,277 次观看 • 7 天前

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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:

Alex Widua

52,052 次观看 • 2 年前

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

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

Science girl

2,087,988 次观看 • 1 年前

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

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

Tim Robinson

37,991 次观看 • 11 个月前

The new canvas feature of the @GitHub Copilot App is pretty 🔥. You can just create any app interface you need on the fly. Here's a canvas that show all my worktrees for a project & how far they've diverged from main.

The new canvas feature of the @GitHub Copilot App is pretty 🔥. You can just create any app interface you need on the fly. Here's a canvas that show all my worktrees for a project & how far they've diverged from main.

Burke Holland

42,619 次观看 • 6 天前

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.

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.

Aaron Levie

419,721 次观看 • 1 个月前

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

luis.

49,425 次观看 • 1 年前

🤖 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:

🤖 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:

HYTOPIA

15,729 次观看 • 1 年前