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。

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”show more

Karina

44,007 subscribers

845,627 次观看 • 1 年前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

9 条评论

Geoffrey Litt 的头像

Geoffrey Litt1 年前

nice! inline feedback and direct editing are both huge

Karina Nguyen 的头像

Karina Nguyen1 年前

i still have notes from our convo a few years ago about these concepts, we finally did it!

Adam 的头像

Adam1 年前

Please make a search engine for our chat history. I ask the same debugging questions all the time

Nick 的头像

Nick1 年前

this is v cool. first impressions are the ux I want is > write an essay > I select lines I like, interesting insights, keep those > write new essay keeping those > repeat until essay good

Tibor Blaho 的头像

Tibor Blaho1 年前

@apples_jimmy Congrats on the launch! Looks awesome

Bennet 的头像

Bennet1 年前

That’s cool, but 4o is too dumb for serious coding problems. Great for learning new languages or programming as a whole though. But please add a model competitive with Sonnet in coding.

Prashant 的头像

Prashant1 年前

@apples_jimmy It is the biggest update of the year for ChatGPT

Conor 的头像

Conor1 年前

This is great Karina. One thing that would be great would be to have queued or parallel execution to code changes if possible. For instance, if i want to apply changes to two separate comments it would be nice to have them queued up versus having the comments go away and pop up only after gpt is finished coding. Obviously wont work for when changes overlap.

Jason Yuan 的头像

Jason Yuan1 年前

Congratulations! What an achievement

相关视频

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

Canvas—a new way to work with ChatGPT to draft, edit, and get feedback on writing & code—is now available to all users in our 4o model. It’s fully rolled out on web and the ChatGPT desktop app for Windows.

Canvas—a new way to work with ChatGPT to draft, edit, and get feedback on writing & code—is now available to all users in our 4o model. It’s fully rolled out on web and the ChatGPT desktop app for Windows.

OpenAI

653,819 次观看 • 1 年前

Here is a quick walkthrough of everything new in Stitch: 🎨 The AI-native canvas can hold and reason across images, code, and text simultaneously. The new agent manager helps you design in parallel. (PS … light mode!) 🧠 A smarter design agent now understands your entire canvas context. You can swap images, generate product briefs, or mix mobile and desktop screens on the same canvas. 🎙️ You can vibe design with your voice (in Preview). Stitch can ‘see’ your canvas and your selected screens. You can ask for design critiques, variations, or navigate your canvas. ⚡️ Instant prototypes. Just hit the play button to see a prototype or preview your app in seconds. Stitch can imagine the next screen based on your mouse click. 📐 DESIGN.md and consistency. Every new design automatically starts with a cohesive design system which vastly improves consistency. The new DESIGN.md file can be used to export or import your design rules. Walkthrough video👇 Details for each major improvement 🧵

Here is a quick walkthrough of everything new in Stitch: 🎨 The AI-native canvas can hold and reason across images, code, and text simultaneously. The new agent manager helps you design in parallel. (PS … light mode!) 🧠 A smarter design agent now understands your entire canvas context. You can swap images, generate product briefs, or mix mobile and desktop screens on the same canvas. 🎙️ You can vibe design with your voice (in Preview). Stitch can ‘see’ your canvas and your selected screens. You can ask for design critiques, variations, or navigate your canvas. ⚡️ Instant prototypes. Just hit the play button to see a prototype or preview your app in seconds. Stitch can imagine the next screen based on your mouse click. 📐 DESIGN.md and consistency. Every new design automatically starts with a cohesive design system which vastly improves consistency. The new DESIGN.md file can be used to export or import your design rules. Walkthrough video👇 Details for each major improvement 🧵

Stitch by Google

488,040 次观看 • 4 个月前

👋 Meet Canvas, a new interactive space in Gemini that simplifies creating, refining, and sharing your work. Canvas is like a shared whiteboard where you and Gemini can work together. You can refine documents, write code, design prototypes and more while Gemini collaborates with you in real-time to make improvements. Try Canvas today here: and share your creations with us in the comments!

👋 Meet Canvas, a new interactive space in Gemini that simplifies creating, refining, and sharing your work. Canvas is like a shared whiteboard where you and Gemini can work together. You can refine documents, write code, design prototypes and more while Gemini collaborates with you in real-time to make improvements. Try Canvas today here: and share your creations with us in the comments!

G3mini

63,795 次观看 • 1 年前

Zerve has been the best platform for writing data science code for a while. It's 100x better than Jupyter notebooks. Now, they have a specialized, fine-tuned AI assistant who knows all about data science code and how to use the platform. This is a killer feature. A generalist model will never be better than a specialized one. Watch the video. I promise you'll be jealous in 3 minutes. Some other features, in case you've never used Zerve: 1. It's web-based 2. You can share and work with your team on the same canvas 3. You can deploy your code with a click 4. Blocks are the center of attention. Promotes code modularity 5. You can combine multiple languages in a single canvas 6. You can run code blocks in parallel Zerve organizes your code as a DAG. Each block inherits the state of every block before it. Everything runs in a serverless architecture. By the way, you can use Zerve for FREE. Visit this link: Thanks to the team for partnering with me on this post.

Zerve has been the best platform for writing data science code for a while. It's 100x better than Jupyter notebooks. Now, they have a specialized, fine-tuned AI assistant who knows all about data science code and how to use the platform. This is a killer feature. A generalist model will never be better than a specialized one. Watch the video. I promise you'll be jealous in 3 minutes. Some other features, in case you've never used Zerve: 1. It's web-based 2. You can share and work with your team on the same canvas 3. You can deploy your code with a click 4. Blocks are the center of attention. Promotes code modularity 5. You can combine multiple languages in a single canvas 6. You can run code blocks in parallel Zerve organizes your code as a DAG. Each block inherits the state of every block before it. Everything runs in a serverless architecture. By the way, you can use Zerve for FREE. Visit this link: Thanks to the team for partnering with me on this post.

Santiago

27,942 次观看 • 1 年前

A look at computer use and the built-in browser in the new ChatGPT app 👀 dominik kundel walks through how ChatGPT can work with apps on your computer and browse the web to research, navigate websites, and complete tasks with you.

A look at computer use and the built-in browser in the new ChatGPT app 👀 dominik kundel walks through how ChatGPT can work with apps on your computer and browse the web to research, navigate websites, and complete tasks with you.

ChatGPT

123,817 次观看 • 21 天前

🇺🇸 NEW: CHATGPT CAN TALK TO YOUR FAVORITE APPS OpenAI says you can now chat with your favorite apps directly inside ChatGPT. Ask for a playlist, and Spotify makes one. Need a house? Zillow shows listings. Want a design or diagram? Canva and Figma hop right in. It’s like having a bunch of apps work together in one chat, turning ChatGPT into a full-on digital command center. The update is part of OpenAI’s push to make AI tools actually useful in everyday life, not just for writing essays. Source: OpenAI

🇺🇸 NEW: CHATGPT CAN TALK TO YOUR FAVORITE APPS OpenAI says you can now chat with your favorite apps directly inside ChatGPT. Ask for a playlist, and Spotify makes one. Need a house? Zillow shows listings. Want a design or diagram? Canva and Figma hop right in. It’s like having a bunch of apps work together in one chat, turning ChatGPT into a full-on digital command center. The update is part of OpenAI’s push to make AI tools actually useful in everyday life, not just for writing essays. Source: OpenAI

Mario Nawfal

249,501 次观看 • 10 个月前

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

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

48,601 次观看 • 1 个月前

We’re introducing Canvas and welcoming Audio Overview to the Google Gemini today. Turn docs, slides + Deep Research reports into podcasts with Audio Overview. Or create a doc or coding project with Canvas – it spins up prototypes super fast and you can edit with Gemini in real-time.

We’re introducing Canvas and welcoming Audio Overview to the Google Gemini today. Turn docs, slides + Deep Research reports into podcasts with Audio Overview. Or create a doc or coding project with Canvas – it spins up prototypes super fast and you can edit with Gemini in real-time.

Sundar Pichai

384,165 次观看 • 1 年前

Google Gemini new Canvas feature is super cool and useful! You can now write code and visualize the output too. I just built this Stripe dashboard in a less than 60 seconds here’s how you can use it: - It works only with Gemini 2.0 Flash. - Select Canvas while giving your prompt. - Available for Free tier too. Share below if you’ve built anything!

Google Gemini new Canvas feature is super cool and useful! You can now write code and visualize the output too. I just built this Stripe dashboard in a less than 60 seconds here’s how you can use it: - It works only with Gemini 2.0 Flash. - Select Canvas while giving your prompt. - Available for Free tier too. Share below if you’ve built anything!

AshutoshShrivastava

45,597 次观看 • 1 年前

Introducing Higgsfield Canvas: a state-of-the-art image editing model. Paint products directly onto your image with pixel-perfect control. Say hi to your new go-to for product placement, editing, and layout! 👋🏻 Comment Canvas to get the full guide in the DM.

Introducing Higgsfield Canvas: a state-of-the-art image editing model. Paint products directly onto your image with pixel-perfect control. Say hi to your new go-to for product placement, editing, and layout! 👋🏻 Comment Canvas to get the full guide in the DM.

Higgsfield AI 🧩

2,627,440 次观看 • 1 年前

Here's a mini-ChatGPT app that runs locally on your computer. You can chat with it just like you would chat with ChatGPT. We use: - DeepSeek R1 as the LLM - ollama to locally serve R1 - Chainlit for the UI Let's build it!

Here's a mini-ChatGPT app that runs locally on your computer. You can chat with it just like you would chat with ChatGPT. We use: - DeepSeek R1 as the LLM - ollama to locally serve R1 - Chainlit for the UI Let's build it!

Avi Chawla

40,282 次观看 • 1 年前

Assumptions about the new "Can More" ChatGPT tool were right - ChatGPT is introducing own take on Claude Artifacts - code & document writing tools with persisted text documents, history revisions (restore previous version), edits and comments (probably used to apply suggested edits) New document symbol in the top navigation shows how many documents you have and allows you to open a resizable canvas to edit them in split view - your ChatGPT conversation on the left side and canvas on the right side, but the code/documents can also be accessed in fullscreen view The canvas is built using ProseMirror (open source WYSIWYM editor) and has an inline action to "Ask ChatGPT" (explain or make edits) for your document and code plus document formatting tools (like bold, italic, font style, etc.) But in addition to that, there are also special action shortcuts for documents and code, with an interesting decision to use sliders for the selection of the desired outcome For Documents - Suggest edits ("How can I improve this. Leave as few comments as possible, but add a few more comments if the text is long. DO NOT leave more than 5 comments. You can reply that you added comments and suggestions to help improve the writing quality, but do not mention the prompt.") - Add emojis ("Replace as many words as possible with emojis.") - Add final polish ("Add some final polish to the text. If relevant, add a large title or any section titles. Check grammar and mechanics, make sure everything is consistent and reads well. You can reply that you added some final polish and checked for grammar, but do not mention the prompt.") - Reading level (Graduate School - "Rewrite this text at the reading level of a doctoral writer in this subject. You may reply that you adjusted the text to reflect a graduate school reading level, but do not mention the prompt", College - "Rewrite this text at the reading level of a college student majoring in this subject", High School - "Rewrite this text at the reading level of a high school student who has taken a couple of classes in this subject.", Keep current reading level, Middle School - "Rewrite this text at the reading level of a middle schooler.", Kindergarten - "Rewrite this text at the reading level of a kindergartener.") - Adjust the length (Longest - "Make this text 75% longer.", Longer - "Make this text 50% longer.", Keep current length, Shorter - "Make this text 50% shorter.", Shortest - "Make this text 75% shorter.") For Code - Code review ("Search for bugs and opportunities to improve the code—for example, ways that performance or code structure could be improved. Leave as few comments as possible, but add more comments if the text is long. DO NOT leave more than 5 comments. You may reply that you reviewed the code and left suggestions to improve the coding quality, but do not mention the prompt.") - Add comments ("Add inline code comments to explain the code, especially parts that are more complex. Make sure to rewrite all the code. You may reply that you added inline comments, but do not mention the prompt.") - Add logs ("Insert logs/print statements in the code that will help debug its behavior. Do not make any other changes to the code.") - Fix bugs ("Find any bugs and rewrite all the code to fix the bugs. Do not leave comments. If there are no bugs, reply that you reviewed the code and found no bugs.") - Port to a language ("Port to a language. Create a new document that rewrites the code in ..." - PHP, C++, Python, Keep current code. No changes will be made, JavaScript, TypeScript, Java) - Suggest edits ("How can I improve this. Leave as few comments as possible, but add a few more comments if the text is long. DO NOT leave more than 5 comments. You can reply that you added comments and suggestions to help improve the writing quality, but do not mention the prompt.")

Assumptions about the new "Can More" ChatGPT tool were right - ChatGPT is introducing own take on Claude Artifacts - code & document writing tools with persisted text documents, history revisions (restore previous version), edits and comments (probably used to apply suggested edits) New document symbol in the top navigation shows how many documents you have and allows you to open a resizable canvas to edit them in split view - your ChatGPT conversation on the left side and canvas on the right side, but the code/documents can also be accessed in fullscreen view The canvas is built using ProseMirror (open source WYSIWYM editor) and has an inline action to "Ask ChatGPT" (explain or make edits) for your document and code plus document formatting tools (like bold, italic, font style, etc.) But in addition to that, there are also special action shortcuts for documents and code, with an interesting decision to use sliders for the selection of the desired outcome For Documents - Suggest edits ("How can I improve this. Leave as few comments as possible, but add a few more comments if the text is long. DO NOT leave more than 5 comments. You can reply that you added comments and suggestions to help improve the writing quality, but do not mention the prompt.") - Add emojis ("Replace as many words as possible with emojis.") - Add final polish ("Add some final polish to the text. If relevant, add a large title or any section titles. Check grammar and mechanics, make sure everything is consistent and reads well. You can reply that you added some final polish and checked for grammar, but do not mention the prompt.") - Reading level (Graduate School - "Rewrite this text at the reading level of a doctoral writer in this subject. You may reply that you adjusted the text to reflect a graduate school reading level, but do not mention the prompt", College - "Rewrite this text at the reading level of a college student majoring in this subject", High School - "Rewrite this text at the reading level of a high school student who has taken a couple of classes in this subject.", Keep current reading level, Middle School - "Rewrite this text at the reading level of a middle schooler.", Kindergarten - "Rewrite this text at the reading level of a kindergartener.") - Adjust the length (Longest - "Make this text 75% longer.", Longer - "Make this text 50% longer.", Keep current length, Shorter - "Make this text 50% shorter.", Shortest - "Make this text 75% shorter.") For Code - Code review ("Search for bugs and opportunities to improve the code—for example, ways that performance or code structure could be improved. Leave as few comments as possible, but add more comments if the text is long. DO NOT leave more than 5 comments. You may reply that you reviewed the code and left suggestions to improve the coding quality, but do not mention the prompt.") - Add comments ("Add inline code comments to explain the code, especially parts that are more complex. Make sure to rewrite all the code. You may reply that you added inline comments, but do not mention the prompt.") - Add logs ("Insert logs/print statements in the code that will help debug its behavior. Do not make any other changes to the code.") - Fix bugs ("Find any bugs and rewrite all the code to fix the bugs. Do not leave comments. If there are no bugs, reply that you reviewed the code and found no bugs.") - Port to a language ("Port to a language. Create a new document that rewrites the code in ..." - PHP, C++, Python, Keep current code. No changes will be made, JavaScript, TypeScript, Java) - Suggest edits ("How can I improve this. Leave as few comments as possible, but add a few more comments if the text is long. DO NOT leave more than 5 comments. You can reply that you added comments and suggestions to help improve the writing quality, but do not mention the prompt.")

Tibor Blaho

136,084 次观看 • 1 年前

I created the first draft of a website for the EDR telemetry project to help people quickly compare vendor telemetry visibility. What do you think about it? Are there any specific features you want to see for the website? Built with ChatGPT 4o with canvas (wanted to test it out😂) EDR Telemetry project 🔗:

I created the first draft of a website for the EDR telemetry project to help people quickly compare vendor telemetry visibility. What do you think about it? Are there any specific features you want to see for the website? Built with ChatGPT 4o with canvas (wanted to test it out😂) EDR Telemetry project 🔗:

Kostas

140,562 次观看 • 1 年前

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Santiago

64,425 次观看 • 8 个月前

Today, we're launching Mosaic Canvas. Think Gumloop, but for video editing. With Canvas, you can now create and run your own video editing agents. Agents run video edits completely on autopilot, and can branch to create multiple variants from a single video. We're rethinking the traditional non-linear video editor. Learn more about the new paradigm and signup for the rolling waitlist:

Today, we're launching Mosaic Canvas. Think Gumloop, but for video editing. With Canvas, you can now create and run your own video editing agents. Agents run video edits completely on autopilot, and can branch to create multiple variants from a single video. We're rethinking the traditional non-linear video editor. Learn more about the new paradigm and signup for the rolling waitlist:

Adish Jain ☕️

144,306 次观看 • 1 年前

•New this week: Canvas in AI Mode gives you a dynamic space to organize your plans and projects over time, and now it’s available to everyone in the US! Plus, we’re adding support for coding & creative writing tasks, so you can bring even more ideas to life with custom dashboards or interactive tools. My current favorite use case: planning summer camps for my kids in SF. It’s a logistical nightmare 😅 but this year Canvas made life a little easier. I built my personal summer camp app directly in Google Search - from a single prompt to working prototype in just seconds!

•New this week: Canvas in AI Mode gives you a dynamic space to organize your plans and projects over time, and now it’s available to everyone in the US! Plus, we’re adding support for coding & creative writing tasks, so you can bring even more ideas to life with custom dashboards or interactive tools. My current favorite use case: planning summer camps for my kids in SF. It’s a logistical nightmare 😅 but this year Canvas made life a little easier. I built my personal summer camp app directly in Google Search - from a single prompt to working prototype in just seconds!

Rose Yao

35,118 次观看 • 5 个月前

🎨 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:

🎨 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:

LangChain

43,733 次观看 • 1 年前

Today we’re launching Design Canvas for AI agents. AI can build a feature, but every "design tweak" turns into another prompt. We built a drag & drop editor for Claude Code, Cursor, Codex to explore and iterate on your UI, so you get the best design by default. No endless prompting. Ship better designs in code with Subframe.

Today we’re launching Design Canvas for AI agents. AI can build a feature, but every "design tweak" turns into another prompt. We built a drag & drop editor for Claude Code, Cursor, Codex to explore and iterate on your UI, so you get the best design by default. No endless prompting. Ship better designs in code with Subframe.

Irvin Zhan

300,276 次观看 • 5 个月前