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With WebMCP, your website can communicate directly with agents to help them complete tasks on behalf of human users. Learn about the APIs and how you can debug your implementation in our latest Developer Tooling Tip episode. →

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16,083 görüntüleme • 1 ay önce •via X (Twitter)

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Your agents can now browse and take actions on the web, just like you can. This lets agents work with sites that don’t have APIs and still complete tasks end to end. Plus, each interaction is streamed live to Studio.
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Your agents can now browse and take actions on the web, just like you can. This lets agents work with sites that don’t have APIs and still complete tasks end to end. Plus, each interaction is streamed live to Studio.

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AI agents are evolving and becoming more proactive. From cloud-based to on-device, these systems can run continuously, handle tasks, and keep sensitive data local. New Liquid Foundation Models bring agents directly to your laptop and phone, even while you are offline. Watch the latest episode of Advanced Insights to learn more about our partnership with Liquid AI:

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Our most anticipated launch of the year is here. - Gemini 3, our most intelligent model - Generative interfaces, for perfectly designed responses - Gemini Agent, made to complete complex tasks on your behalf See how Gemini 3 can help you learn, build & plan anything 🧵
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Our most anticipated launch of the year is here. - Gemini 3, our most intelligent model - Generative interfaces, for perfectly designed responses - Gemini Agent, made to complete complex tasks on your behalf See how Gemini 3 can help you learn, build & plan anything 🧵

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🤖 Debug Your Scripts in VS Code with GitHub Copilot Tired of remembering all the syntax for a launch.json file? In this quick tip, learn how to use GitHub Copilot to analyze your package.json, generate the right debug configurations, and launch your scripts directly with the built-in VS Code debugger.

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Heres how to get started with the neatlogs MCP ! with this you can access your traces, detections, complete RCA and traige cards right inside Claude Code, Cursor, Windsurf, or whichever you like to build and you dont need to jump between your editor and a bunch of dashboards, you can just debug and fix your agents in one place. :)
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Heres how to get started with the neatlogs MCP ! with this you can access your traces, detections, complete RCA and traige cards right inside Claude Code, Cursor, Windsurf, or whichever you like to build and you dont need to jump between your editor and a bunch of dashboards, you can just debug and fix your agents in one place. :)

simran sachdeva

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Your terminal, now with context-aware intelligence. Debug faster, run multi-step tasks, and stay in flow. Intelligent Terminal brings your favorite agents into the command line so you can debug, execute, and keep building without breaking focus.
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Your terminal, now with context-aware intelligence. Debug faster, run multi-step tasks, and stay in flow. Intelligent Terminal brings your favorite agents into the command line so you can debug, execute, and keep building without breaking focus.

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Learn how to set up your JamboApp and start earning with our latest video. If you don’t have a JamboPhone, get yours at: Android users can also download JamboApp on Google Play:
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Learn how to set up your JamboApp and start earning with our latest video. If you don’t have a JamboPhone, get yours at: Android users can also download JamboApp on Google Play:

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Your knowledge + 10 Minutes = agents that can work on your behalf. AgentSuite's no code set up makes launching agents simple. The real value is in the unique human knowledge you train them with. Join the waitlist. Platform coming soon 👇
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Your knowledge + 10 Minutes = agents that can work on your behalf. AgentSuite's no code set up makes launching agents simple. The real value is in the unique human knowledge you train them with. Join the waitlist. Platform coming soon 👇

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People are still sleeping on WebMCP.. You can now give agents tool calls to interact with your website natively. Including full UI/UX support and interactive elements to build their own views. Sharing a demo below that I submitted for the WebMCP challenge - see how agents can interact with the El Nino situation tracker. It creates it's own views, preserves human edits, and creates a shareable link to share with other agents (or humans). Video and code by Codex ChatGPT & Railway Live at elneenyo dot com to try out today!
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People are still sleeping on WebMCP.. You can now give agents tool calls to interact with your website natively. Including full UI/UX support and interactive elements to build their own views. Sharing a demo below that I submitted for the WebMCP challenge - see how agents can interact with the El Nino situation tracker. It creates it's own views, preserves human edits, and creates a shareable link to share with other agents (or humans). Video and code by Codex ChatGPT & Railway Live at elneenyo dot com to try out today!

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🧵 Making Proactive Agents with Code Generation Last week we shared about how you can use code generation to compose tools. But code generation can also give your agents new capabilities- like proactively acting on your behalf.
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🧵 Making Proactive Agents with Code Generation Last week we shared about how you can use code generation to compose tools. But code generation can also give your agents new capabilities- like proactively acting on your behalf.

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Introducing Giga's browser agent. Giga can now log in and completes tasks end-to-end, just like your human agents. It used to take months to get support APIs deployed for AI agents in the enterprise. Now these integrations can be built instantly.
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Introducing Giga's browser agent. Giga can now log in and completes tasks end-to-end, just like your human agents. It used to take months to get support APIs deployed for AI agents in the enterprise. Now these integrations can be built instantly.

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Need help getting started with Odyssey? This video walks you through how to register your shares of Ionic Digital and manage your shareholder account with Odyssey. Learn more on the Company Information page of our website:

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We’re adding support for WebMCP in the ChatGPT desktop app’s built-in browser and ChatGPT Sites. When you visit a compatible website, ChatGPT or Codex can automatically use it to complete your task. Update to the latest version of the ChatGPT desktop app, then just ask Codex to create a WebMCP-enabled app and deploy it to Sites.
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We’re adding support for WebMCP in the ChatGPT desktop app’s built-in browser and ChatGPT Sites. When you visit a compatible website, ChatGPT or Codex can automatically use it to complete your task. Update to the latest version of the ChatGPT desktop app, then just ask Codex to create a WebMCP-enabled app and deploy it to Sites.

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Our latest LangChain Academy course – Building Ambient Agents with LangGraph – is now available! Most agents today handle one request at a time through chat interfaces. But as models have improved, agents can now run in the background – and take on long-running, complex tasks. LangGraph is built for these “ambient agents,” with support for human-in-the-loop workflows and memory. LangGraph Platform provides the infrastructure to run these agents at scale, and LangSmith helps you observe, evaluate, and improve your agents. Together, they make it easier to build reliable, production-ready agents. In this course, you’ll: 📩 Learn the fundamentals of LangGraph and how to build your own email agent 📊 Evaluate your agent using LangSmith ✅ Add human-in-the-loop for reviews, and memory so your agent adapts over time 🚀 Deploy your agent with LangGraph Platform and connect it to Gmail

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WebMCP by Microsoft and Google is HERE and I'm surprised more people aren't talking about it. Why does it matter? BILLIONS of dollars are about to move through agents, and the internet isn't built for them yet. 1. SEO was about Google understanding your page. 2. AEO was about AI citing you. 3. WebMCP is about the agent actually finishing the job (buying, researching, requesting quote etc). WebMCP is basically websites with agent buttons. Instead of an agent scanning a page like a human, screenshotting and guessing where to click, the site just tells it "here's how to search, here's how to book, here's how to buy." 2 cash flowing businesses you could start today using WebMCP: 1. A WebMCP conversion agency Make boring business websites agent-ready. Law firms, HVAC, med spas, dentists. Build them the first tools (request a quote, book a consult), sell the setup for $2k, then charge a few hundred a month to monitor and improve it. 2. An agent mystery shopper. Test whether agents can actually complete the important journeys on someone's site, buying the hoodie, booking the consult, filing the claim. Hand them a report on where the agent got stuck, missing tools, bad descriptions, lost conversions. Charge monthly, then turn the repeated fixes into software. Full episode on The Startup Ideas Podcast (SIP) 🧃 with Vinny below You'll learn what WebMCP really is, see examples of it IN ACTION, and hear more about 2 startup ideas using WebMCP you can start today. WebMCP is pretty cool. Watch.

GREG ISENBERG

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Today we’re launching the first and only human-like AI agents in the world. Super Agents™ are the first agents with human‑level skills – they DM you, take @ mentions, send emails, manage docs, tasks, and more. Not just tools or API calls, but real skills fine‑tuned for how teams actually work. The first agents with 100% context – fully native in ClickUp and fully synced from other apps. Super Agents see your work the same way that humans do: tasks, docs, schedules, and conversations all in one place. The first agents that learn from human interactions automatically, without any setup or configuration – when you give feedback, they listen and improve how they work. The first agents with human‑level memory for custom agents – historical memory for every interaction, short-term working memory, and even long‑term memory stored in docs you can literally open, inspect, and edit. The first agents that are literally the same as users – our agentic user model is the same as our user data model. This gives you permissions and capabilities that you and your systems are already familiar with. The first infinite agent catalog – where anyone can create and customize agents in minutes, for literally any type of work imaginable. It's the most intuitive way to build agents on the planet. 95% of companies are failing in AI adoption. The reality is that AI isn't meant to be adopted, it's meant to be adapted – to you. Super Agents are automatically personalized to you and your company using proprietary state-of-the-art agent architecture, orchestration, and tooling. Today is the largest step forward we've ever made towards our mission of making people more productive. Maximize human productivity, with ClickUp Super Agents. Available NOW. For everyone.
5:50

Today we’re launching the first and only human-like AI agents in the world. Super Agents™ are the first agents with human‑level skills – they DM you, take @ mentions, send emails, manage docs, tasks, and more. Not just tools or API calls, but real skills fine‑tuned for how teams actually work. The first agents with 100% context – fully native in ClickUp and fully synced from other apps. Super Agents see your work the same way that humans do: tasks, docs, schedules, and conversations all in one place. The first agents that learn from human interactions automatically, without any setup or configuration – when you give feedback, they listen and improve how they work. The first agents with human‑level memory for custom agents – historical memory for every interaction, short-term working memory, and even long‑term memory stored in docs you can literally open, inspect, and edit. The first agents that are literally the same as users – our agentic user model is the same as our user data model. This gives you permissions and capabilities that you and your systems are already familiar with. The first infinite agent catalog – where anyone can create and customize agents in minutes, for literally any type of work imaginable. It's the most intuitive way to build agents on the planet. 95% of companies are failing in AI adoption. The reality is that AI isn't meant to be adopted, it's meant to be adapted – to you. Super Agents are automatically personalized to you and your company using proprietary state-of-the-art agent architecture, orchestration, and tooling. Today is the largest step forward we've ever made towards our mission of making people more productive. Maximize human productivity, with ClickUp Super Agents. Available NOW. For everyone.

Zeb Evans

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Polly is our AI assistant built directly into LangSmith to help you debug, analyze, and improve your agents — now generally available. Now, Polly lives on every page of LangSmith, remembers your full session as you navigate, and can take action to update prompts, compare experiments, write evaluators, and more. Read the blog: See the docs: Try Polly in LangSmith:
2:05

Polly is our AI assistant built directly into LangSmith to help you debug, analyze, and improve your agents — now generally available. Now, Polly lives on every page of LangSmith, remembers your full session as you navigate, and can take action to update prompts, compare experiments, write evaluators, and more. Read the blog: See the docs: Try Polly in LangSmith:

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🔗 New LangChain Academy Course: Introduction to LangChain (Python) 🔗 Learn how to build with LangChain – our open source framework that makes it easy to start building agents with any model provider. In this course, you’ll create agents that can reason, use tools, and take action, and learn how to debug their behavior with LangSmith. Along the way, you’ll: - Build an agent with the `create_agent` abstraction - Use LangChain’s core building blocks: Models, Messages, Memory, and Tools - Customize your agent with middleware - Debug your agent with LangSmith Observability & Studio By the end of the course, you’ll have assembled a full team of personal assistants. Enroll for free ➡️
2:25

🔗 New LangChain Academy Course: Introduction to LangChain (Python) 🔗 Learn how to build with LangChain – our open source framework that makes it easy to start building agents with any model provider. In this course, you’ll create agents that can reason, use tools, and take action, and learn how to debug their behavior with LangSmith. Along the way, you’ll: - Build an agent with the `create_agent` abstraction - Use LangChain’s core building blocks: Models, Messages, Memory, and Tools - Customize your agent with middleware - Debug your agent with LangSmith Observability & Studio By the end of the course, you’ll have assembled a full team of personal assistants. Enroll for free ➡️

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41,016 görüntüleme • 9 ay önce