正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

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

78,680 subscribers

22,318 次观看 • 1 年前 •via X (Twitter)

健康养生科学技术教育

Anya Rossi• Live Now

Private livecam show

9 条评论

tldraw 的头像

tldraw1 年前

npm create tldraw@latest

Jeremiah 的头像

Jeremiah1 年前

Wait this is actually such a cool experience. Like AI-assisted whiteboarding

Ukiiki 的头像

Ukiiki1 年前

Love this !

entropy 的头像

entropy1 年前

Cool

Tobe Duru 的头像

Tobe Duru1 年前

that's a game changer for personalized learning

Jeremiah 的头像

Jeremiah1 年前

How do you get to this "Review work" experience?

Taha Ali Adil 的头像

Taha Ali Adil1 年前

My Canvas can even engage :) 4 of them

Aman DevX 的头像

Aman DevX1 年前

That sounds like a cool tool for math tutoring. Thanks for sharing!

ChatableApps 的头像

ChatableApps1 年前

So basically, it’s like having a math tutor who’s also a ninja—stealthily correcting your mistakes without revealing their secrets! 🥷📚

相关视频

With the new tldraw plugin for OpenAI, you can work with Codex on a live, multiplayer infinite canvas. Here, we started with a wireframe sketch for a mobile Frisbee game, added context and questions via comments on the board, and worked with Codex directly on the canvas.

With the new tldraw plugin for OpenAI, you can work with Codex on a live, multiplayer infinite canvas. Here, we started with a wireframe sketch for a mobile Frisbee game, added context and questions via comments on the board, and worked with Codex directly on the canvas.

tldraw

13,536 次观看 • 16 天前

We gave Creative Agents another canvas. The web. Introducing Website Studio in ⭐️ Give your agent a brief, a vision, or simply an idea. It can turn that direction into a complete website -- with the structure, content and visual experience brought together in one workflow. No template hunting. No starting from a blank canvas. You direct. The agent builds. And when it's ready, publish it. →

We gave Creative Agents another canvas. The web. Introducing Website Studio in ⭐️ Give your agent a brief, a vision, or simply an idea. It can turn that direction into a complete website -- with the structure, content and visual experience brought together in one workflow. No template hunting. No starting from a blank canvas. You direct. The agent builds. And when it's ready, publish it. →

OptimAI Network

55,491 次观看 • 1 个月前

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:

Andrew Ng

128,180 次观看 • 1 年前

For the first time we are fundamentally changing how humans can collaborate with ChatGPT since it launched two years ago. We’re introducing canvas, a new interface for working with ChatGPT on writing and coding projects that go beyond simple chat. Product and model features: 1/ Ask for in-line feedback. With canvas, ChatGPT can better understand the context of what you’re trying to accomplish. You can highlight specific sections to indicate exactly what you want ChatGPT to focus on. Like a copy editor or code reviewer, it can give in-line feedback and suggestions with the entire project in mind. 2/ Directly edit the model's output and select a specific area for targeted editing. You control your creative work on canvas. You can directly edit text or code. 3/ Menu of shortcuts. There’s a menu of shortcuts for you to ask ChatGPT to adjust writing length, debug your code, and quickly perform other useful actions. You can also restore previous versions of your work by using the back button in canvas. 4/ Use search with canvas for research writing! As we are moving towards the new paradigm of reasoning we are fundamentally evolving the chat interface into a more collaborative human-AI interaction. Today you can say “browse / use browsing to find XYZ on the internet and write a report in canvas”

For the first time we are fundamentally changing how humans can collaborate with ChatGPT since it launched two years ago. We’re introducing canvas, a new interface for working with ChatGPT on writing and coding projects that go beyond simple chat. Product and model features: 1/ Ask for in-line feedback. With canvas, ChatGPT can better understand the context of what you’re trying to accomplish. You can highlight specific sections to indicate exactly what you want ChatGPT to focus on. Like a copy editor or code reviewer, it can give in-line feedback and suggestions with the entire project in mind. 2/ Directly edit the model's output and select a specific area for targeted editing. You control your creative work on canvas. You can directly edit text or code. 3/ Menu of shortcuts. There’s a menu of shortcuts for you to ask ChatGPT to adjust writing length, debug your code, and quickly perform other useful actions. You can also restore previous versions of your work by using the back button in canvas. 4/ Use search with canvas for research writing! As we are moving towards the new paradigm of reasoning we are fundamentally evolving the chat interface into a more collaborative human-AI interaction. Today you can say “browse / use browsing to find XYZ on the internet and write a report in canvas”

Karina

846,177 次观看 • 2 年前

"Hey Codex, show me how you'd fix this bug" The new tldraw plugin lets ChatGPT map a problem on the canvas and sketch a few fixes. Comment on the drawing to ask for changes and watch it update live. Here's Max trying it on one of our bugs:

"Hey Codex, show me how you'd fix this bug" The new tldraw plugin lets ChatGPT map a problem on the canvas and sketch a few fixes. Comment on the drawing to ask for changes and watch it update live. Here's Max trying it on one of our bugs:

tldraw

29,575 次观看 • 1 个月前

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: 👇

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: 👇

Hasan Toor

66,443 次观看 • 6 个月前

UGC Agent An AI agent that generates video content end-to-end using x402 micropayments and Vercel's Workflow Kit You give it a topic. It researches, writes a script, and creates the video, paying for every tool it needs along the way Here's how it works 🧵👇

UGC Agent An AI agent that generates video content end-to-end using x402 micropayments and Vercel's Workflow Kit You give it a topic. It researches, writes a script, and creates the video, paying for every tool it needs along the way Here's how it works 🧵👇

Ash

12,456 次观看 • 11 个月前

alright agent nerds, if you care about your tokens and usage limits, pay attention to the tools you give to your agents. i built a benchmark that compared various browser tools for agents, and here's an example of their massive difference in cost and latency doing the same task

alright agent nerds, if you care about your tokens and usage limits, pay attention to the tools you give to your agents. i built a benchmark that compared various browser tools for agents, and here's an example of their massive difference in cost and latency doing the same task

Kun Chen

572,019 次观看 • 6 个月前

the canvas keeps giving

the canvas keeps giving

tldraw

17,120 次观看 • 1 个月前

Agents write code faster than we can review it. A huge PR is essentially a long list of files in alphabetical order. We think reviews can be more fun if you swap the limiting pages for a canvas, which is why we built PR canvas. You read the change in the order the logic runs. - A short summary shown on each card to help you understand what the piece of code does. - The canvas shows the relationship between each group. - Possible issues to check before approving, with standby agents of choice ready to attend to any of them. - Comment, mark as issue, and approve PRs. - Agents can also locally clarify on feedback before you mark as an issue. - It runs on your Mac, with your gh and your Claude Code/Codex/any available agent.

Agents write code faster than we can review it. A huge PR is essentially a long list of files in alphabetical order. We think reviews can be more fun if you swap the limiting pages for a canvas, which is why we built PR canvas. You read the change in the order the logic runs. - A short summary shown on each card to help you understand what the piece of code does. - The canvas shows the relationship between each group. - Possible issues to check before approving, with standby agents of choice ready to attend to any of them. - Comment, mark as issue, and approve PRs. - Agents can also locally clarify on feedback before you mark as an issue. - It runs on your Mac, with your gh and your Claude Code/Codex/any available agent.

Seyi

12,602 次观看 • 26 天前

The fastest way to write a better prompt might be to stop writing and start reverse-engineering. Dreamina can work backwards from the clip. Prompt tools hand you the answer and close the book. A canvas lets you keep asking questions. Dreamina 2.0 is canvas-first — the new way AI video is made. #Dreamina #DreaminaPartner

The fastest way to write a better prompt might be to stop writing and start reverse-engineering. Dreamina can work backwards from the clip. Prompt tools hand you the answer and close the book. A canvas lets you keep asking questions. Dreamina 2.0 is canvas-first — the new way AI video is made. #Dreamina #DreaminaPartner

SARAH

122,781 次观看 • 29 天前

Watching the agent work on a canvas narrow experiment

Watching the agent work on a canvas narrow experiment

{ I N P U T }

24,437 次观看 • 8 个月前

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.

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.

Chubby♨️

130,889 次观看 • 1 年前

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.

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.

Aaron Levie

24,807 次观看 • 6 个月前

agent builder where the chat and the canvas are the same thing demo:

agent builder where the chat and the canvas are the same thing demo:

Arek

34,579 次观看 • 1 个月前

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.

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.

Victoria

35,710 次观看 • 6 个月前

What if you could steal the camera move without stealing the video? Dreamina's Extract Motion function makes that possible. Prompt tools hand you a clip you can't control. A canvas hands you a project you can. Dreamina 2.0 is canvas-first - the new way AI video is made. #Dreamina #DreaminaPartner

What if you could steal the camera move without stealing the video? Dreamina's Extract Motion function makes that possible. Prompt tools hand you a clip you can't control. A canvas hands you a project you can. Dreamina 2.0 is canvas-first - the new way AI video is made. #Dreamina #DreaminaPartner

Md Riyazuddin

110,398 次观看 • 1 个月前

I heavily use diagraming tools for architecting which means a lot of screenshotting and pasting. To make things simpler, I asked my harness to build itself a canvas worker. Now the agent draws the diagram right in the chat and console injectable UI.

I heavily use diagraming tools for architecting which means a lot of screenshotting and pasting. To make things simpler, I asked my harness to build itself a canvas worker. Now the agent draws the diagram right in the chat and console injectable UI.

Mike Piccolo

11,361 次观看 • 2 个月前