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Google Opal is vastly underrated but can replace n8n or Make in many situations You can create powerful AI workflows for free and with a single prompt: - Ask the user for any input - Run multiple deep research simultaneously - Add any context you want (YT video, text,...

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Paul Couvert

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67,365 просмотров • 8 месяцев назад •via X (Twitter)

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That's pretty powerful You can turn any YT video into an infographic using Nano Banana Pro in Gemini. - Copy any YT link - Paste in Gemini and ask it to analyze it (Gemini can access the video just using the URL) - Then ask for an infographic Prompt: "Generate an image of an infographic explaining the concept presented in the video."
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That's pretty powerful You can turn any YT video into an infographic using Nano Banana Pro in Gemini. - Copy any YT link - Paste in Gemini and ask it to analyze it (Gemini can access the video just using the URL) - Then ask for an infographic Prompt: "Generate an image of an infographic explaining the concept presented in the video."

Paul Couvert

168,318 просмотров • 7 месяцев назад

Generate and edit video with Gemini Omni Flash, now in Runway. Start with a prompt, image or video and create anything you can imagine. Get started at the link below or ask Agent to use Omni.
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Generate and edit video with Gemini Omni Flash, now in Runway. Start with a prompt, image or video and create anything you can imagine. Get started at the link below or ask Agent to use Omni.

Runway

26,267 просмотров • 14 дней назад

Google's NotebookLM is truly the best AI second brain. You can easily learn, memorize, generate new ideas, and more. Give it the knowledge files you want and: - Ask any question - Create new summaries or other content - Generate an ultra-realistic podcast to learn - Add notes on the fly to expand the info available There's virtually no limit to the number of things you can feed it: the context window is huge (1M tokens?). Unlike other tools, you can use only the information you already trust. This makes the answers much more relevant, and with far fewer hallucinations. As a reminder, it's completely free to use. So it's definitely worth a try if you haven't already.
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Google's NotebookLM is truly the best AI second brain. You can easily learn, memorize, generate new ideas, and more. Give it the knowledge files you want and: - Ask any question - Create new summaries or other content - Generate an ultra-realistic podcast to learn - Add notes on the fly to expand the info available There's virtually no limit to the number of things you can feed it: the context window is huge (1M tokens?). Unlike other tools, you can use only the information you already trust. This makes the answers much more relevant, and with far fewer hallucinations. As a reminder, it's completely free to use. So it's definitely worth a try if you haven't already.

Paul Couvert

113,529 просмотров • 1 год назад

Another quick tip for anyone participating in the bolt.new hackathon and planning to use AI workflows with n8n You can connect your Bolt UI to any AI-powered flow in just 2 steps 👇
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Another quick tip for anyone participating in the bolt.new hackathon and planning to use AI workflows with n8n You can connect your Bolt UI to any AI-powered flow in just 2 steps 👇

Dhruval

172,241 просмотров • 1 год назад

That is the easiest way to chat with a complete Github Repository!👀 Replace "github" with "gitingest" in the url, and you get the whole repo as a single string, paste into AI studio and use Google DeepMind Gemini 2.0 Flash Million Token Context video to ask questions! 🤯 Here is how you can chat with the whole python SDK docs. ⬇️
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That is the easiest way to chat with a complete Github Repository!👀 Replace "github" with "gitingest" in the url, and you get the whole repo as a single string, paste into AI studio and use Google DeepMind Gemini 2.0 Flash Million Token Context video to ask questions! 🤯 Here is how you can chat with the whole python SDK docs. ⬇️

Philipp Schmid

97,475 просмотров • 1 год назад

Introducing Gemini 3 ✨ It’s the best model in the world for multimodal understanding, and our most powerful agentic + vibe coding model yet. Gemini 3 can bring any idea to life, quickly grasping context and intent so you can get what you need with less prompting. Find Gemini 3 Pro rolling out today in the Google Gemini and AI Mode in Search. For developers, build with it now in Google AI Studio and Vertex AI. Excited for you to try it!
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Introducing Gemini 3 ✨ It’s the best model in the world for multimodal understanding, and our most powerful agentic + vibe coding model yet. Gemini 3 can bring any idea to life, quickly grasping context and intent so you can get what you need with less prompting. Find Gemini 3 Pro rolling out today in the Google Gemini and AI Mode in Search. For developers, build with it now in Google AI Studio and Vertex AI. Excited for you to try it!

Sundar Pichai

2,950,116 просмотров • 7 месяцев назад

1. The first AI Research Agent, deep research on any topic in one click. visit and sign up, input any topic you want to research for. Then you can get: → Write high-quality articles instantly → Back them with credible sources
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1. The first AI Research Agent, deep research on any topic in one click. visit and sign up, input any topic you want to research for. Then you can get: → Write high-quality articles instantly → Back them with credible sources

Allen Lattimer

45,046 просмотров • 1 год назад

You can just ask Perplexity Comet to generate a video for you using Veo 3 inside Gemini 🙂 You can either give a detailed prompt with steps or just keep it simple like this, both work: Comet Prompt: You have access to the Gemini interface, use it to generate a video and wait for rendering to complete. Prompt: It figures out the rest. Where to paste the prompt, whether to click the video option, everything. Pretty smart.
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You can just ask Perplexity Comet to generate a video for you using Veo 3 inside Gemini 🙂 You can either give a detailed prompt with steps or just keep it simple like this, both work: Comet Prompt: You have access to the Gemini interface, use it to generate a video and wait for rendering to complete. Prompt: It figures out the rest. Where to paste the prompt, whether to click the video option, everything. Pretty smart.

AshutoshShrivastava

35,501 просмотров • 1 год назад

I reverse-engineered the thumbnail strategies of top YouTubers... Then I automated the entire process with n8n. Now I can generate viral-style thumbnails for any video in under 2 minutes. Want the complete workflow? Follow + comment "THUMBNAIL" and I'll DM it to you.
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I reverse-engineered the thumbnail strategies of top YouTubers... Then I automated the entire process with n8n. Now I can generate viral-style thumbnails for any video in under 2 minutes. Want the complete workflow? Follow + comment "THUMBNAIL" and I'll DM it to you.

Tom

46,411 просмотров • 1 год назад

Gemini skills in Chrome are insanely powerful?! You can just write instructions and Gemini will be able to take any action over and over. 1. Create by typing "/" in the Gemini panel 2. Write your instructions 3. Type "/[skill-name]" And Gemini will automatically work for you by using the skill. So you can leverage it to - Scrap information - Take action in a specific web app - Anything you can perform in a browser basically Keep in mind that you can even use your emails or your Google account as a context... Which can be VERY useful.
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Gemini skills in Chrome are insanely powerful?! You can just write instructions and Gemini will be able to take any action over and over. 1. Create by typing "/" in the Gemini panel 2. Write your instructions 3. Type "/[skill-name]" And Gemini will automatically work for you by using the skill. So you can leverage it to - Scrap information - Take action in a specific web app - Anything you can perform in a browser basically Keep in mind that you can even use your emails or your Google account as a context... Which can be VERY useful.

Paul Couvert

69,894 просмотров • 2 месяцев назад

Introducing 1st full-stack AI Designer An AI agent that can plan, generate graphic assets, Video animation, production UI code all with full context Design like this could easily cost $5~$10k just 1 year ago, but now is possible to deliver in 10 min without any design skills Learnt from Kyle Skelly and I just can't resist to build it in SuperDesign.Dev, very satisfying to have image/video/code gen all in one place with consistent context You can try this on today
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Introducing 1st full-stack AI Designer An AI agent that can plan, generate graphic assets, Video animation, production UI code all with full context Design like this could easily cost $5~$10k just 1 year ago, but now is possible to deliver in 10 min without any design skills Learnt from Kyle Skelly and I just can't resist to build it in SuperDesign.Dev, very satisfying to have image/video/code gen all in one place with consistent context You can try this on today

Jason Zhou

32,121 просмотров • 7 месяцев назад

With Google Flow Tools, you can now use natural language to create bespoke tools and workflows. In this video, you'll see how you can: ➡️ Explore and try the various Tools within Google Flow ➡️ Remix a tool to make it even more relevant for your unique workflow ➡️Create your own tool from scratch with a natural language prompt ➡️ Share your tools with a friend for them to try out Whether you’re looking for an image editor, video resizer or custom shaders, you can now create them in Google Flow, no coding experience required.
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With Google Flow Tools, you can now use natural language to create bespoke tools and workflows. In this video, you'll see how you can: ➡️ Explore and try the various Tools within Google Flow ➡️ Remix a tool to make it even more relevant for your unique workflow ➡️Create your own tool from scratch with a natural language prompt ➡️ Share your tools with a friend for them to try out Whether you’re looking for an image editor, video resizer or custom shaders, you can now create them in Google Flow, no coding experience required.

Google Flow

18,030 просмотров • 26 дней назад

I love using GLM 5.2 for web app iteration. My workflow: generate 6 variations, then pick the best one and continue iterating on it. I built Recast to make this even easier. Give it a prompt, get 6 variations, download the code for your favorite version, then continue iterating in your own coding agent. GLM 5.2 works really well for this use case since it's fast, cheap, and great at design. On average, you can make 3-6 landing pages with GLM 5.2 for every one you can generate with Opus 4.8. And the design variety of the GLM landing pages helps a lot with trying to think through what style you want to go with. Recast is launching soon (as a web app + skill).
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I love using GLM 5.2 for web app iteration. My workflow: generate 6 variations, then pick the best one and continue iterating on it. I built Recast to make this even easier. Give it a prompt, get 6 variations, download the code for your favorite version, then continue iterating in your own coding agent. GLM 5.2 works really well for this use case since it's fast, cheap, and great at design. On average, you can make 3-6 landing pages with GLM 5.2 for every one you can generate with Opus 4.8. And the design variety of the GLM landing pages helps a lot with trying to think through what style you want to go with. Recast is launching soon (as a web app + skill).

Hassan

20,164 просмотров • 19 дней назад

This is literally the easiest way to build an AI agent. Zero code. You only need to run a couple of commands. (I've said this before, but Google ADK is my favorite way to build code-first agents.) Here is what you need to do: 1. Open your terminal and create an empty folder 2. Run `uv init` inside the folder (if you don't have uv installed, you are really missing out!) 3. Install the google-adk library using the following command: `uv add google-adk`. 4. At this point, you can use the ask to create your agent with a single command: `uv run adk create --type=config my_agent`. This will ask you a couple of questions, including your GEMINI_API_KEY (you can create one online). 5. The command above will create a my_agent/root_agent.yaml file. Open it and add the following two lines at the end of the file so your agent can use Google to search for stuff: tools: - name: google_search 6. You have everything you need now. Run the adk web interface and start playing with your agent: `uv run adk web` That's it! Literally zero code. The agent works off the YAML configuration file.
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This is literally the easiest way to build an AI agent. Zero code. You only need to run a couple of commands. (I've said this before, but Google ADK is my favorite way to build code-first agents.) Here is what you need to do: 1. Open your terminal and create an empty folder 2. Run `uv init` inside the folder (if you don't have uv installed, you are really missing out!) 3. Install the google-adk library using the following command: `uv add google-adk`. 4. At this point, you can use the ask to create your agent with a single command: `uv run adk create --type=config my_agent`. This will ask you a couple of questions, including your GEMINI_API_KEY (you can create one online). 5. The command above will create a my_agent/root_agent.yaml file. Open it and add the following two lines at the end of the file so your agent can use Google to search for stuff: tools: - name: google_search 6. You have everything you need now. Run the adk web interface and start playing with your agent: `uv run adk web` That's it! Literally zero code. The agent works off the YAML configuration file.

Santiago

140,737 просмотров • 7 месяцев назад

Today we’re excited to feature RAGApp v0.1 - which lets any user construct a multi-agent application 🎨🤖 without writing a single line of code 💫 Add any number of agents that you wish, and assign each agent a role, system prompt, and a set of tools. In this example, use a researcher, analyst, and report generation agent to write a news article. This directly generates a full chat interface where you can ask questions and get back answers with full streaming and sources. Huge shoutout to Marcus Schiesser for working on this! RAGApp: create-llama: If you want finer control, you can define your own agentic workflows through code:
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Today we’re excited to feature RAGApp v0.1 - which lets any user construct a multi-agent application 🎨🤖 without writing a single line of code 💫 Add any number of agents that you wish, and assign each agent a role, system prompt, and a set of tools. In this example, use a researcher, analyst, and report generation agent to write a news article. This directly generates a full chat interface where you can ask questions and get back answers with full streaming and sources. Huge shoutout to Marcus Schiesser for working on this! RAGApp: create-llama: If you want finer control, you can define your own agentic workflows through code:

LlamaIndex 🦙

93,021 просмотров • 1 год назад

AI agents are a real paradigm shift You can literally make your computer work for you to do any task. All I've used is: - Replit to get it running - Browser Use (free & open source) - Google AI Studio for the API - DeepSeek R1 to implement it (I'm not paying $200 for ChatGPT sorry) Here the AI agent fetches information on its own and reuses it to write new content. But you can use it for literally any industry. Run it once or schedule it at regular intervals... you're in total control And it's nothing like automating on Make or Zapier: AI agents adapt to every situation and can handle far more complex scenarios.
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AI agents are a real paradigm shift You can literally make your computer work for you to do any task. All I've used is: - Replit to get it running - Browser Use (free & open source) - Google AI Studio for the API - DeepSeek R1 to implement it (I'm not paying $200 for ChatGPT sorry) Here the AI agent fetches information on its own and reuses it to write new content. But you can use it for literally any industry. Run it once or schedule it at regular intervals... you're in total control And it's nothing like automating on Make or Zapier: AI agents adapt to every situation and can handle far more complex scenarios.

Paul Couvert

76,636 просмотров • 1 год назад

New in Chrome DevTools: Annotate performance findings with Gemini! You can now ask Gemini to explain performance traces. Specifically you can generate annotations about events in the performance trace. This is a total game-changer. Double-click an event in the Main track, then click Generate label next to the input field. Gemini can suggest a label based on the stack trace and context. Try it out and let us know what you think!
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New in Chrome DevTools: Annotate performance findings with Gemini! You can now ask Gemini to explain performance traces. Specifically you can generate annotations about events in the performance trace. This is a total game-changer. Double-click an event in the Main track, then click Generate label next to the input field. Gemini can suggest a label based on the stack trace and context. Try it out and let us know what you think!

Addy Osmani

88,219 просмотров • 1 год назад

Today, we’re introducing Skills in Chrome, a new way to build one-click workflows for your most frequently used AI prompts — like asking for ingredient substitutions to make a recipe vegan, generating side-by-side shopping comparisons across multiple tabs, or scanning long docs to get the info you need quickly. When you write a prompt that you want to use again, you can save it as a Skill directly from your chat history. The next time you need it, select your saved Skill in Gemini in Chrome by typing forward slash ( / ) or clicking the plus sign ( + ) button, and your Skill will run on the page you’re viewing, along with any other tabs you select.
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Today, we’re introducing Skills in Chrome, a new way to build one-click workflows for your most frequently used AI prompts — like asking for ingredient substitutions to make a recipe vegan, generating side-by-side shopping comparisons across multiple tabs, or scanning long docs to get the info you need quickly. When you write a prompt that you want to use again, you can save it as a Skill directly from your chat history. The next time you need it, select your saved Skill in Gemini in Chrome by typing forward slash ( / ) or clicking the plus sign ( + ) button, and your Skill will run on the page you’re viewing, along with any other tabs you select.

Google

1,279,462 просмотров • 3 месяцев назад

🚨 Breaking: Google is rolling out a native image feature in AI Studio! You can now use Gemini 2.0 Flash Experimental for native image output. This feature is insanely powerful , you can do so much with it. Google is crushing it, no hype, just delivering. Mad respect for the Google DeepMind and Gemini team! I had early access to this for a long time but I wasn’t supposed to share it :) It's amazing, you guys will love it.
0:35

🚨 Breaking: Google is rolling out a native image feature in AI Studio! You can now use Gemini 2.0 Flash Experimental for native image output. This feature is insanely powerful , you can do so much with it. Google is crushing it, no hype, just delivering. Mad respect for the Google DeepMind and Gemini team! I had early access to this for a long time but I wasn’t supposed to share it :) It's amazing, you guys will love it.

AshutoshShrivastava

70,802 просмотров • 1 год назад