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Tasklet (Tasklet) is the cloud agent OS for knowledge work. It connects to all your tools, uses computers in the cloud, and runs 24/7 to get real work done. Started by Firebase founder Andrew Lee and Jonny Dimond, it’s grown >1,200% this year to $5M ARR and just raised...

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51,017 просмотров • 3 месяцев назад •via X (Twitter)

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Today we're launching Tasklet — an AI agent for automating your business. Unlike ChatGPT, Tasklet actually does the work for you: connecting to your tools, triggering automatically, and handling tasks while you sleep.
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Today we're launching Tasklet — an AI agent for automating your business. Unlike ChatGPT, Tasklet actually does the work for you: connecting to your tools, triggering automatically, and handling tasks while you sleep.

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With ChatGPT Work, you can kick off cloud tasks directly from the desktop or mobile app. It can use your configured plugins to work across your repos, docs, Slack, and the other tools you already use. I use it constantly from my phone: hand off a task, let it run asynchronously in the cloud, and come back when the work is done.
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With ChatGPT Work, you can kick off cloud tasks directly from the desktop or mobile app. It can use your configured plugins to work across your repos, docs, Slack, and the other tools you already use. I use it constantly from my phone: hand off a task, let it run asynchronously in the cloud, and come back when the work is done.

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We just shipped Roo Code's first Cloud Agent: the PR Reviewer. It runs Roo in the cloud to deliver instant, high-quality code reviews. And it's BYOK, so it never cheaps out on tokens. Follow our co-founder Matt Rubens on a walk to hear more.
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We just shipped Roo Code's first Cloud Agent: the PR Reviewer. It runs Roo in the cloud to deliver instant, high-quality code reviews. And it's BYOK, so it never cheaps out on tokens. Follow our co-founder Matt Rubens on a walk to hear more.

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You can now use the Claude Code and Codex harnesses directly whenever you start a cloud agent in Warp. Here's engineer Lili Wilson to show how to implement a real feature in the cloud, with computer use and automated code review to validate work:
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You can now use the Claude Code and Codex harnesses directly whenever you start a cloud agent in Warp. Here's engineer Lili Wilson to show how to implement a real feature in the cloud, with computer use and automated code review to validate work:

Warp

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This is probably the biggest news yet in software going headless, and will bring knowledge work agents to the masses. The new ChatGPT agents have access to any of the tools and data you want to work with, with complete coding and tool use available to them. Here's an example of a custom sales assistant agent uses Box as a knowledge source for accessing enterprise content securely to answer questions and generate new content on the fly. The workflows can obviously vastly far more complex as the agent can use any of the tools within Box available via MCP and CLI. This precisely what agents will start to look like for knowledge work. You'll be able to spin them up in the foreground or background to help augment work. Big opportunity right now for headless platforms, and for all the new builders and designers of these agents in the enterprise.
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This is probably the biggest news yet in software going headless, and will bring knowledge work agents to the masses. The new ChatGPT agents have access to any of the tools and data you want to work with, with complete coding and tool use available to them. Here's an example of a custom sales assistant agent uses Box as a knowledge source for accessing enterprise content securely to answer questions and generate new content on the fly. The workflows can obviously vastly far more complex as the agent can use any of the tools within Box available via MCP and CLI. This precisely what agents will start to look like for knowledge work. You'll be able to spin them up in the foreground or background to help augment work. Big opportunity right now for headless platforms, and for all the new builders and designers of these agents in the enterprise.

Aaron Levie

419,956 просмотров • 3 месяцев назад

Cursor is now available in Jira. Assign Cursor to work items, or mention @​Cursor in a comment to kick off a cloud agent. Cursor uses the title, description, comments, and your team's repository settings to create a merge-ready PR.
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Cursor is now available in Jira. Assign Cursor to work items, or mention @​Cursor in a comment to kick off a cloud agent. Cursor uses the title, description, comments, and your team's repository settings to create a merge-ready PR.

Cursor

259,881 просмотров • 2 месяцев назад

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.
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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.

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24,618 просмотров • 3 месяцев назад

Jira 🤝 Cursor Assign Jira work items to Cursor and let a cloud agent get to work—building, triaging, and opening PRs with context from the Atlassian Teamwork Graph. One connected workflow for teams and AI agents, from intent to code. Try it now:
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Jira 🤝 Cursor Assign Jira work items to Cursor and let a cloud agent get to work—building, triaging, and opening PRs with context from the Atlassian Teamwork Graph. One connected workflow for teams and AI agents, from intent to code. Try it now:

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The filibuster doesn’t work anymore. It’s abused by Democrats to BLOCK legislation that the American people want and DESERVE. It’s time to get rid of it so we can get REAL work done for Americans. WATCH ⬇️
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The filibuster doesn’t work anymore. It’s abused by Democrats to BLOCK legislation that the American people want and DESERVE. It’s time to get rid of it so we can get REAL work done for Americans. WATCH ⬇️

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nader dabit

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Senators Rick Scott and Mike Lee are now calling on GOP leadership to CANCEL August recess until the SAVE America Act passes the senate. "We have to work 7 days a week!" "We've GOT to stay here. We have to all through August, all through September, all through, I mean, we should work the rest of the year!" Absolutely right. Get to work and stay at work until the job is done. Thank you Rick Scott and Mike Lee.

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Den (Den) is building an AI-native Slack/Notion alternative, making it 10x easier to build AI agents that work alongside your team— like Cursor for knowledge workers. Congrats on the launch Justin Lee and @linus_talacko!

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Hermes Agent just got an update nobody is talking about. And it replaced all my paid tools. It is now free forever. It runs a local model called North Mini Code. You can build games like Skyrim or Matrix stuff fast. It is simple and runs on our Agent OS system. Get clear steps and real results today. Comment Agent OS to get the full free guide sent to you right now.

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Tempo (Tempo (YC S23)) has raised $5M to build the best design tool for design engineers. Unlike other vibecoding tools, Tempo integrates with any React codebase and allows designers to control every pixel by hand. Congrats to the team!

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Loop Engineering is getting hype now. But not many talks about how to actually do it So I open-sourced the template my team uses to build agent loops: - a shared artifact / knowledge layer - logging, verification - and a codebase harness so work compounds across runs Plus a 20-min deep dive on how to think about it and set it up for real: Copy the template. Adapt it to your own loops.

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Jensen Huang’s simplest explanation of an AI agent: a worker in a workshop. The model thinks. The harness gives it form. Tools and skills let it act. And the runtime gives the agent a place to get work done.

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