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Ana Sayfaya Dön

Worktrace AI and computer use complete each other. 🧡 We recently made a big update to Worktrace AI . It not only FINDS repetitive work in your company, but it now AUTOMATES it for you too. Advancements in computer use have unlocked a wave of personal agents. It will... show more

Angela Jiang

8,603 subscribers

17,660 görüntüleme • 2 gün önce •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

5 Yorum

Saurabh Shukla profil fotoğrafı

Saurabh Shukla1 gün önce

@worktrace_ai Great demo and a great product. All the best!

James Dyett profil fotoğrafı

James Dyett1 gün önce

@worktrace_ai this is so awesome

Andi Peng profil fotoğrafı

Andi Peng1 gün önce

@worktrace_ai woot! looks awesome!

MoonHuang profil fotoğrafı

MoonHuang1 gün önce

@worktrace_ai Before replaying the workflow, I'd have the operator mark the steps they wish they didn't have to do. Otherwise the agent may get very good at an old workaround.

TobiasDev 🇦🇷 profil fotoğrafı

TobiasDev 🇦🇷1 gün önce

@worktrace_ai que worktrace no solo detecte lo repetitivo sino que lo automatice con computer use le cambia el valor al producto

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Aaliya

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Anthropic just launched Computer-Use-Agents on Claude Desktop, meaning it can now take control of your entire computer environment. This is huge for businesses and enterprise, except it's limited by the fact that it requires a personal computer. If you deploy it into a virtual machine on Orgo, you can now manage hundreds or thousands of your clients' Claude accounts, setting up their skills, capabilities, connectors, etc, all on their own machines in the cloud on Orgo.

Anthropic just launched Computer-Use-Agents on Claude Desktop, meaning it can now take control of your entire computer environment. This is huge for businesses and enterprise, except it's limited by the fact that it requires a personal computer. If you deploy it into a virtual machine on Orgo, you can now manage hundreds or thousands of your clients' Claude accounts, setting up their skills, capabilities, connectors, etc, all on their own machines in the cloud on Orgo.

Nick Vasilescu

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MIKE

26,662 görüntüleme • 3 ay önce

AI agents have full root access to your computer. In the '90s we called that a virus and installed McAfee to stop it. "Run it on a totally different computer, one that is locked away from everything. If you put it on your home network, you might have a bad time." - Marks

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TFTC

17,278 görüntüleme • 7 ay önce

codex computer use uses secret macos api it makes codex to work while you work with your computer, no need to use virtualized machine but that secret macos api is no longer a secret cuz i found it and re implemented it as an mcp lmao

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Q

50,866 görüntüleme • 2 ay önce

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Milind S

215,832 görüntüleme • 4 ay önce

The age of AI agents is here. Models can read, see, talk, and now, even use a computer— all by themselves. One of the first out of the gates is Anthropic’s Claude Computer Use. YC's Garry Tan dives into how it works, what it can do, and how it may change AI forever.

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Y Combinator

266,049 görüntüleme • 1 yıl önce

Hermes won. They just dropped their desktop app and it's excellent It's now the best way to use AI agents on your computer In this video I cover how to set it up, how to use it, and go through EVERY feature in the app Bye bye Telegram

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Alex Finn

177,498 görüntüleme • 4 ay önce

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Farza 🇵🇰🇺🇸

229,963 görüntüleme • 4 ay önce

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Simular

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Adaptive

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Jensen Huang: “I think we’ve achieved AGI.” “It is not out of the question that an AI agent could create an app that suddenly a few billion people use.” “In China, you’re gonna see people getting their agents to look for jobs, do work and make money.” “People are really worried about their jobs.” “The purpose of your job and the tools you use to do it are related, not the same.” “The first job AI researchers said would go away was radiology because computer vision would reach superhuman levels. And it did.”

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Veee

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Haider.

117,890 görüntüleme • 5 ay önce

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Santiago

21,079 görüntüleme • 2 ay önce

Agent demos fooled you 👎 It trips, it asks for help, and somehow you're the one copying, pasting and running the commands. Meet your #Robosecretary. Meet your #SaiFleet. Sai brings state-of-the-art computer use to your own computer - your apps, your OS, in a floating window that leaves your mouse alone. Need more than one? Spin up to 100 cloud machines, each on the OS you pick, each on a different job. 100x the work, done without you. Sai. The autonomous computer fleet at your command. Free to start →

Agent demos fooled you 👎 It trips, it asks for help, and somehow you're the one copying, pasting and running the commands. Meet your #Robosecretary. Meet your #SaiFleet. Sai brings state-of-the-art computer use to your own computer - your apps, your OS, in a floating window that leaves your mouse alone. Need more than one? Spin up to 100 cloud machines, each on the OS you pick, each on a different job. 100x the work, done without you. Sai. The autonomous computer fleet at your command. Free to start →

Sai

1,045,945 görüntüleme • 12 gün önce

this video is the CLEAREST explanation of how claude skills + AI agents work and how to use them most people set up an AI agent and wonder why it keeps disappointing them. the context window is everything context is what the model assembles before it takes any action. think of it like everything the agent needs to read before it does anything. the quality of what goes in determines the quality of what comes out. the models are genuinely really good right now. claude and gpt are exceptional. the variable is almost always the context you give them. 1. agent.md files are mostly unnecessary every single line you put in an agent.md file gets added to every single conversation you have with your agent. a 1000 line file is around 7000 tokens burning on every run. the model already knows to use react. it can read your codebase. save the agent.md for proprietary information specific to your company that the model genuinely cannot know on its own. 2. skills are the actual unlock a skill.md file works differently. what loads into context is only the name and description, around 50 tokens. the full instructions only appear when the agent recognizes it needs that skill. so instead of 7000 tokens on every run you have 50. and the agent stays sharp because the context window stays lean. the closer you get to filling the context window the worse the agent performs, same way you perform worse when someone dumps 10 things on you at once. 3. here is how to actually build a skill the right way most people identify a workflow and immediately try to write the skill. what you want to do instead is run the workflow by hand with the agent first. walk it through every single step. tell it what to check, what good looks like, what bad looks like. correct it in real time. once you have had a full successful run from start to finish, tell the agent to review everything it just did and write the skill itself. it writes a better skill than you will because it has the full context of what actually worked in practice not in theory. 4. recursively building skills is how you go from frustrated to reliable when the skill breaks, and it will break, ask the agent exactly why it failed. it will tell you specifically what went wrong. fix it together in that same conversation. then tell it to update the skill file so that failure mode never happens again. ross mike did this five times with his youtube report generator. it now pulls from eight different data sources and runs flawlessly every single time without him touching it. 5. sub agents are something you earn not something you set up on day one start with one agent. build one workflow. turn it into one skill. once that works add another. ross mike has five sub agents now covering marketing, business, personal and more. it took months to get there and every single one exists because a workflow proved it deserved to exist. the people who set up 15 sub agents on day one and wonder why nothing works skipped all the steps that make the thing actually run. 6. your workflow is the thing the model cannot get anywhere else the model has been trained on everything. it knows more than you about most things. what it does not have is your specific process, your taste, your way of doing things. that is what skills capture. that is what makes your agent actually useful versus a generic one. downloading someone else's skill means downloading their context onto your setup and it will not work the way you want it to because it was never built around how you work. this is the clearest explanation of how agents actually work i have heard. Micky runs this stuff every single day and the results show it. full episode is now live on The Startup Ideas Podcast (SIP) 🧃 where you get your pods people charge for this sorta stuff i give away the sauce for free i just want you to win watch

this video is the CLEAREST explanation of how claude skills + AI agents work and how to use them most people set up an AI agent and wonder why it keeps disappointing them. the context window is everything context is what the model assembles before it takes any action. think of it like everything the agent needs to read before it does anything. the quality of what goes in determines the quality of what comes out. the models are genuinely really good right now. claude and gpt are exceptional. the variable is almost always the context you give them. 1. agent.md files are mostly unnecessary every single line you put in an agent.md file gets added to every single conversation you have with your agent. a 1000 line file is around 7000 tokens burning on every run. the model already knows to use react. it can read your codebase. save the agent.md for proprietary information specific to your company that the model genuinely cannot know on its own. 2. skills are the actual unlock a skill.md file works differently. what loads into context is only the name and description, around 50 tokens. the full instructions only appear when the agent recognizes it needs that skill. so instead of 7000 tokens on every run you have 50. and the agent stays sharp because the context window stays lean. the closer you get to filling the context window the worse the agent performs, same way you perform worse when someone dumps 10 things on you at once. 3. here is how to actually build a skill the right way most people identify a workflow and immediately try to write the skill. what you want to do instead is run the workflow by hand with the agent first. walk it through every single step. tell it what to check, what good looks like, what bad looks like. correct it in real time. once you have had a full successful run from start to finish, tell the agent to review everything it just did and write the skill itself. it writes a better skill than you will because it has the full context of what actually worked in practice not in theory. 4. recursively building skills is how you go from frustrated to reliable when the skill breaks, and it will break, ask the agent exactly why it failed. it will tell you specifically what went wrong. fix it together in that same conversation. then tell it to update the skill file so that failure mode never happens again. ross mike did this five times with his youtube report generator. it now pulls from eight different data sources and runs flawlessly every single time without him touching it. 5. sub agents are something you earn not something you set up on day one start with one agent. build one workflow. turn it into one skill. once that works add another. ross mike has five sub agents now covering marketing, business, personal and more. it took months to get there and every single one exists because a workflow proved it deserved to exist. the people who set up 15 sub agents on day one and wonder why nothing works skipped all the steps that make the thing actually run. 6. your workflow is the thing the model cannot get anywhere else the model has been trained on everything. it knows more than you about most things. what it does not have is your specific process, your taste, your way of doing things. that is what skills capture. that is what makes your agent actually useful versus a generic one. downloading someone else's skill means downloading their context onto your setup and it will not work the way you want it to because it was never built around how you work. this is the clearest explanation of how agents actually work i have heard. Micky runs this stuff every single day and the results show it. full episode is now live on The Startup Ideas Podcast (SIP) 🧃 where you get your pods people charge for this sorta stuff i give away the sauce for free i just want you to win watch

GREG ISENBERG

194,524 görüntüleme • 5 ay önce