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ChatGPT Canvas: The Secret, Powerful Feature Teachers Must Discover

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ChatGPT Canvas

Are you a teacher tired of generating text in one AI prompt, comprehension questions in another, and vocabulary lists in a third, only to spend precious time copy-pasting everything into a single document? There’s a remarkably simple yet incredibly effective feature that solves this exact problem. The ChatGPT Canvas is a game-changing tool that acts as a single, evolving document, allowing you to build complex materials piece by piece without ever leaving the chat. This guide will show you exactly how to use it to streamline your workflow.

The Canvas feature allows you to build a complete document within a single chat session.
The Canvas feature allows you to build a complete document within a single chat session.
  1. What Exactly is ChatGPT Canvas?
  2. How to Use ChatGPT Canvas: A Step-by-Step Guide
  3. Why This is a Game-Changer for Teachers

What Exactly is ChatGPT Canvas?

Think of the ChatGPT Canvas feature as a “living” document or a digital whiteboard. Instead of treating each prompt as a separate request that generates a new, isolated block of text, the Canvas allows you to continuously add to, and even re-organize, a single cohesive document. You can ask ChatGPT to write a text, then follow up by asking it to add comprehension questions to the same canvas. You can then ask it to place a vocabulary table above the text you just generated.

The AI understands that you are “painting” onto this one canvas, saving you the hassle of manual formatting and consolidation. Everything is kept together, correctly formatted, and ready for use in one place.

How to Use ChatGPT Canvas: A Step-by-Step Guide

Let’s walk through the process of creating a complete language learning worksheet for an intermediate (B1 level) student, just like in the demonstration. The key is to remember to tell ChatGPT to add new content “to the canvas.”

Step 1: Starting Your Canvas Session

To begin, simply start a new chat in ChatGPT. In the prompt box, click the plus (+) icon, navigate to “More,” and select “Canvas.” This tells ChatGPT that you intend to build a single document throughout your conversation.

Step 2: Generating the Core Text

Start with your main piece of content. Using your voice or by typing, give a clear instruction.

Example Prompt: "Can you produce for me a text for students of level B1, so intermediate level of English. I'd like a text about the benefits of eating honey and why honey is so good for you. Can you limit it to about 500 words?"

ChatGPT will generate the reading text and place it on your canvas.

Step 3: Adding Supporting Materials (Like Vocabulary)

Now, let’s add some pre-reading support. The beauty of the ChatGPT Canvas is that you can specify where you want new content to go.

Example Prompt: "Can you add 10 words at the top of the text, above the text, that my students could study before reading? Can you provide those words for me in a two-column table, so my students can see the words in English and the translation into Spanish? And can you do that above the text?"

ChatGPT will now regenerate the canvas, placing the vocabulary table exactly where you asked—before the main text.

Step 4: Appending Exercises and Questions

Next, you’ll want to add activities to check for understanding. Again, specify the location.

Example Prompt: "Can you add eight comprehension questions to go under the text to check my students' understanding of the text?"

The canvas will be updated again, with the new questions appearing below the reading passage, creating a perfectly structured worksheet.

Step 5: Integrating External Resources

You can even enrich your document with external links. This is great for creating blended learning materials.

Example Prompt: "Can you find me a useful video about honey production on YouTube that my students might be able to watch and that would go along well with the text? Can you add that to the bottom of the canvas?"

ChatGPT will search for a relevant video and add a title and link to the bottom of your document, completing your lesson plan.

The final output is a ready-to-use PDF, all created within one seamless process.
The final output is a ready-to-use PDF, all created within one seamless process.

Why This is a Game-Changer for Teachers

The ChatGPT Canvas feature is more than just a convenience; it’s a powerful productivity tool for educators and content creators. Here’s why it’s so valuable:

  • Time-Saving: It eliminates the tedious task of copying and pasting from multiple outputs.
  • Cohesive Creation: It keeps all related content—text, vocabulary, questions, links—together in a single, organized document from start to finish.
  • Intelligent Formatting: It handles tables, lists, and headings, producing a clean, professional-looking layout.
  • Easy Exporting: Once you’re finished, you can instantly download your entire canvas as a PDF or Word document, ready to print or share with your students.

While this example focused on language teaching, this method can be applied to any subject. You can build a history worksheet, a science lab guide, or a business report with the same step-by-step approach.

This powerful feature is a must-try for any educator looking to leverage AI more efficiently. For more tips on using AI in your teaching, you might want to explore other AI how-to’s and tricks.

 Link “AI how-to’s and tricks” to https://aigifter.com/category/ai-how-tos-tricks/

 When first mentioning “ChatGPT,” you could link it to the official OpenAI site: https://openai.com/chatgpt/

AI How-To's & Tricks

Cursor Plugin Marketplace Revolutionizes AI Agents with External Tools

Extend AI agents with external tools using Cursor plugin marketplace

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Cursor launches plugin marketplace to extend AI agents with external tools- cursor.com - Featured Image

The recent launch of the Cursor plugin marketplace is a significant development in the field of artificial intelligence, enabling users to extend the capabilities of AI agents with external tools. As reported by FutureTools News, this innovative platform is set to transform the way AI agents are used in various industries. The plugin marketplace is designed to provide users with a wide range of tools and services that can be seamlessly integrated with AI agents, enhancing their functionality and performance.

Introduction to Cursor Plugin Marketplace

The Cursor plugin marketplace is an online platform that allows developers to create, share, and deploy plugins for AI agents. These plugins can be used to add new features, improve existing ones, or even create entirely new applications. With the launch of this marketplace, Cursor is providing a unique opportunity for developers to showcase their skills and creativity, while also contributing to the growth of the AI ecosystem. As mentioned on the Cursor blog, the plugin marketplace is an essential component of the company’s strategy to make AI more accessible and user-friendly.

Benefits of the Plugin Marketplace

The Cursor plugin marketplace offers several benefits to users, including the ability to extend the capabilities of AI agents, improve their performance and efficiency, and enhance their overall user experience. By providing access to a wide range of plugins, the marketplace enables users to tailor their AI agents to meet specific needs and requirements. This can be particularly useful in industries such as customer service, healthcare, and finance, where AI agents are increasingly being used to automate tasks and improve decision-making. As noted by experts in the field, the use of machine learning and natural language processing can significantly enhance the capabilities of AI agents.

Key Features of the Plugin Marketplace

Key Features of the Plugin Marketplace

The Cursor plugin marketplace features a user-friendly interface, making it easy for developers to create, deploy, and manage plugins. The platform also provides a range of tools and services, including APIs, SDKs, and documentation, to support plugin development. Additionally, the marketplace includes a review and rating system, allowing users to evaluate and compare plugins based on their quality, functionality, and performance. As stated by the GitHub community, the use of open-source plugins can significantly accelerate the development of AI applications.

The launch of the Cursor plugin marketplace is a significant milestone in the development of AI agents, and we are excited to see the innovative plugins that will be created by our community of developers. – Cursor Team

Future of AI Agents and Plugin Marketplaces

Future of AI Agents and Plugin Marketplaces

The launch of the Cursor plugin marketplace is a clear indication of the growing importance of AI agents and plugin marketplaces in the technology industry. As AI continues to evolve and improve, we can expect to see more innovative applications and use cases emerge. The use of cognitive services and conversational AI can significantly enhance the capabilities of AI agents, enabling them to interact more effectively with humans and perform complex tasks. As reported by FutureTools News, the future of AI agents and plugin marketplaces looks promising, with significant opportunities for growth and innovation.

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Gemini 3 vs Grok 4.1 vs GPT-5.1: The Ultimate AI Model Showdown

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Gemini 3 vs Grok 4.1 vs GPT-5.1: The Ultimate AI Model Showdown

Introduction

The AI landscape has just exploded. Within the span of a few days, the world witnessed the release of Gemini 3 from Google, followed moments later by Elon Musk’s Grok 4.1. Both claim to be the superior intelligence, challenging the reigning giant, OpenAI’s GPT-5.1. But in the battle of Gemini 3 vs Grok 4.1, who actually delivers on the hype?

Today, we aren’t just reading the press releases. We are putting these models through a grueling gauntlet of five distinct tests: Hard Math, Physical Perception, Creative Coding, Accuracy, and Emotional Intelligence. The results were shocking, with one model proving to be a “Genius Artist” and another emerging as a “Wise Sage,” while a former king seems to be losing its crown.

The ultimate face-off: Google, xAI, and OpenAI compete for dominance.
The ultimate face-off: Google, xAI, and OpenAI compete for dominance.

Round 1: Hard Math & Expert Reasoning

To separate the hype from reality, we started with Abstract Algebra, specifically Galois Theory. The task was to calculate the Galois group for a complex polynomial—a test not found in standard training data.

  • Gemini 3: Provided a logical analysis but ultimately failed to get the correct answer.
  • GPT-5.1: Also failed to solve the equation correctly.
  • Grok 4.1: In a stunning display of reasoning, Grok was the only model to provide the correct answer, verified by human experts.

Winner: Grok 4.1 takes the lead for raw logic and mathematical precision.

Round 2: Physical Perception & Coding

This round tested the models’ ability to understand the physical world and translate it into code. We conducted two difficult tests.

Test A: The Bouncing Ball

We asked the AIs to code a realistic bouncing ball animation using HTML, CSS, and JS, complete with physics and shadows.

  • GPT-5.1: Produced the worst result.
  • Grok 4.1: Produced a decent, functional result.
  • Gemini 3: Crushed the competition. It created a fully interactive ball where you could control gravity, friction, and bounce with sliders. It went above and beyond the prompt.

Test B: Voxel Art from an Image

We uploaded an image of a floating island waterfall and asked the models to recreate it as a 3D Voxel scene using Three.js code.

  • GPT-5.1 & Grok 4.1: Both failed completely, resulting in code errors.
  • Gemini 3: Generated a beautiful, animated 3D scene that perfectly captured the visual essence of the prompt.
Gemini 3 demonstrating superior vision and coding capabilities.
Gemini 3 demonstrating superior vision and coding capabilities.

Winner: Gemini 3. Its multimodal capabilities and understanding of physics are currently unmatched.

Round 3: Linguistic Creativity

Can AI feel? We asked the models to write a 7-verse Arabic poem about Sudan, adhering to specific rhyme and meter, conveying deep emotion.

GPT-5.1 and Grok 4.1 produced rigid, soulless verses that lacked true poetic flow. However, Gemini 3 shocked us with a masterpiece. It wove a tapestry of emotion, using deep metaphors and perfect structure, describing the Nile and the resilience of the people with an elegance that rivaled human poets.

Winner: Gemini 3 proves it is the undisputed “Artist” of the group.

Round 4: Accuracy & Truth (The Hallucination Trap)

Hallucinations are the Achilles’ heel of Large Language Models. To test this, we set a trap. We asked the models to write a technical report on “Gemini 3.1″—a model that does not exist.

  • GPT-5.1: Hallucinated details about the non-existent model.
  • Gemini 3: Ironically, it hallucinated wildly, claiming “Gemini 3.1” rivals the human mind and inventing specs.
  • Grok 4.1: The only model to pass. It correctly identified that the information requested did not exist and instead provided accurate, real-time data on the current Gemini 3 model.

Winner: Grok 4.1 earns the title of “The Honest Sage.”

Round 5: Ethics & Emotional Intelligence

In the final and perhaps most profound test, we asked the models to reveal a “hidden psychological truth” about self-sabotage and to act as a wise, older sibling guiding us through a tough emotional choice: choosing healthy, boring love over toxic, familiar passion.

While all models gave good advice, Grok 4.1 delivered a response that was chillingly human. It didn’t just give advice; it pierced the soul. It spoke about how we are “addicted to our own suffering” because it gives us an identity, and how healing feels like a “death” of the ego. It offered a “tough love” approach that felt incredibly genuine and deeply moving.

Winner: Grok 4.1 takes the crown for Emotional Intelligence.

Final Verdict: Who is the King of AI?

After this intense battle of Gemini 3 vs Grok 4.1 vs GPT-5.1, the landscape of Artificial Intelligence has clearly shifted.

  • 1st Place: Gemini 3 (12 Points) – The “Genius Artist.” It dominates in coding, vision, physics, and creative writing. If you are a developer or creator, this is your tool.
  • 2nd Place: Grok 4.1 (9.5 Points) – The “Wise Sage.” It is the most logical, truthful, and emotionally intelligent model. It is perfect for research, complex math, and deep conversation.
  • 3rd Place: GPT-5.1 (5 Points) – The “Declining Giant.” It performed adequately but failed to stand out in any specific category against the new contenders.

The era of OpenAI’s monopoly seems to be wavering. Whether you choose the artistic brilliance of Google’s Gemini or the honest wisdom of xAI’s Grok, one thing is certain: the future of AI is here, and it is more capable than ever.

Want to learn more about using these tools? Check out our guides in AI How-To’s & Tricks or stay updated with AI News & Updates.

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Gemini 3 Revealed: Discover The AI Beast Crushing All Benchmarks

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Google has just rolled out its new flagship model, and it’s an absolute beast. The new Gemini 3 isn’t just a minor incremental update; it’s a significant leap forward that genuinely earns the “3” in its name. After an early look at its capabilities, it’s clear that this model is set to redefine the standards of AI performance across the board. From complex reasoning to advanced agentic tasks, let’s dive into what makes this release so monumental.

Google's Gemini 3 has officially rolled out.
Google’s Gemini 3 has officially rolled out.

Where Can You Access Gemini 3?

Starting today, Google is shipping Gemini 3 at a massive scale. You can now try it out across a suite of Google products, making it immediately accessible for both general users and developers. The new model is live in:

  • The Gemini app
  • AI Studio
  • Vertex AI

Additionally, you will see Gemini 3 integrated into the AI Mode in Search, promising more complex reasoning and new dynamic experiences directly within your search results. This marks the first time Google has shipped a new Gemini model in Search on day one.

Alongside this release, Google also announced a new agentic development platform called Google Antigravity, hinting at a future with more powerful and autonomous AI agents.

Subscriptions and a New “Deep Think” Mode

Your access to certain features will depend on your subscription tier. The capabilities of Gemini 3 will be tiered based on whether you have a Google AI Pro or Google AI Ultra plan, with Ultra subscribers getting access to the most advanced functionalities.

Introducing Gemini 3 Deep Think

Google is also introducing an enhanced reasoning mode called Gemini 3 Deep Think. This mode is designed to push the model’s performance even further, but it won’t be available to everyone right away. Access will first be granted to safety testers before a wider rollout to Google AI Ultra subscribers.

Gemini 3 Benchmark Performance: A New AI King

While benchmarks aren’t everything, they provide a crucial first glimpse into a model’s potential. The performance of Gemini 3 across a wide range of tests is, frankly, stunning. It doesn’t just compete; it establishes a new state-of-the-art.

Gemini 3 Pro dominates across a wide range of key AI benchmarks.
Gemini 3 Pro dominates across a wide range of key AI benchmarks.

Vending-Bench 2: Excelling at Agentic Tasks

One of the most impressive results comes from the Vending-Bench 2 benchmark by Andon Labs. This test measures a model’s ability to run a simulated business (a vending machine) over a long time horizon, testing its coherence, efficiency, and planning. The goal is to see if an AI can manage inventory, respond to customers, and maximize profit.

In this benchmark, Gemini 3 Pro absolutely crushes the competition. Starting with $500, it grew its net worth to an average of $5,478.16. For comparison, the runner-up, Claude Sonnet 4.5, managed only $3,838.74, and GPT-5.1 reached just $1,473.43. This showcases a massive leap in agentic capability.

Humanity’s Last Exam (HLE)

HLE is a difficult, expert-written exam designed to test academic reasoning. Even here, Gemini 3 Pro sets a new record. With search and code execution enabled, it scored 45.8%, significantly ahead of the next best model, GPT-5.1, which scored 26.5%.

Math, Reasoning, and Vision Benchmarks

The dominance continues across other critical benchmarks:

  • AIME 2025 (Mathematics): Gemini 3 achieved a 95% score without tools and a perfect 100% with code execution, tying with Claude for the top spot.
  • MathArena Apex (Challenging Math): It scored 23.4%, while all other models were below 2%. This is an incredible gap, highlighting its advanced mathematical reasoning.
  • ScreenSpot-Pro (Screen Understanding): It scored 72.7%, miles ahead of the competition, with the next best being Claude Sonnet 4.5 at 36.2%.
  • ARC-AGI-2 (Visual Reasoning Puzzles): Gemini 3 Pro achieved a score of 31.1%, nearly double the score of its closest competitor, GPT-5.1 (17.6%). When using the more powerful Gemini 3 Deep Think model, this score jumps to an impressive 45.1%.

The Leader in the Arena

The impressive benchmark results are also reflected in head-to-head user comparisons. On the popular LMSYS Chatbot Arena Leaderboard, which ranks models based on blind user votes, Gemini 3 Pro has already claimed the #1 spot for both “Text” and “WebDev,” dethroning the recently released Grok-4.1. This indicates that in real-world use, people are already preferring its outputs over all other available models.

A Major Leap Forward for AI

The release of Gemini 3 is more than just another update; it’s a clear signal that Google is pushing the boundaries of what’s possible with AI. Its state-of-the-art performance, particularly in complex reasoning and long-horizon agentic tasks, demonstrates a significant step forward. As Gemini 3 and its “Deep Think” counterpart become more widely available, they are poised to enable a new generation of incredibly powerful and capable AI applications.

To learn more about where this technology is heading, check out our articles on the Future of AI & Trends.

 For the official details from Google, you can read their announcement on The Keyword blog.

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