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Most AI tools can tell you what to do. Very few can actually do the work. Tencent just launched WorkBuddy, an AI agent designed to execute real tasks from start to finish. Not chat. Not suggestions. Actual execution. Here's what that looks like: → Upload files → Give it a task in plain English → WorkBuddy breaks it into steps → Uses tools autonomously → Creates deliverables like reports, spreadsheets, presentations, documentation, and research outputs No workflow setup. No agent building. No prompt engineering. Just describe the outcome you want. What stood out: ✅ Works with tools teams already use GitHub, Jira, Confluence, Google Drive, Gmail, Notion, Slack, GitLab, and more through MCP integrations. ✅ Remote execution from messaging apps Start a task from Slack, Telegram, Discord, or WeChat. Your computer does the work while you're away. The finished output gets delivered back through the same channel. ✅ Built-in expert teams 100 pre-configured experts across: • Marketing • Engineering • Financial analysis • Game development Need multiple specialists? WorkBuddy can coordinate several AI experts simultaneously, with one researching, another coding, and another creating documentation. ✅ Real task execution Most AI chats stop at recommendations. WorkBuddy can read files, process data, generate presentations, create reports, analyze documents, and manage multi-step workflows. The bigger trend: AI is moving from "assistant" to "digital coworker." Instead of asking AI for answers, we're starting to assign outcomes. @TencentAI_News WorkBuddy feels like another step in that direction. Worth watching if you're interested in AI agents that go beyond chat and actually get work done. Explore: workbuddy.ai Check out the Userguide - workbuddy.ai/docs/workbuddy/… This video is produced by WB.
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Replying to @TedrosGottaGo
I've spent a lot of time experimenting with ChatGPT over the last year, and one thing I've noticed is that many people criticize AI without ever really learning how to use it. They often think it's either a search engine, a fancy autocomplete tool, or a machine that simply agrees with whatever the user says. Recently I watched a GPT-5 tutorial, linked below, that I think is a good starting point for people who don't yet understand how these systems work. What I liked was that it didn't just show features. It discussed prompting, structured conversations, personalities, automation, and using AI as an ongoing tool rather than a one-time question-and-answer machine. What many people miss is that the value of AI rarely comes from a single prompt. The value comes from the conversation. You start with an idea, refine it, challenge it, test assumptions, explore alternatives, and gradually develop a deeper understanding of the topic. The final result is often the product of dozens of interactions, not one question. My own experience has been that AI is most useful when treated as a thinking tool. I've used it to explore economics, philosophy, history, artificial intelligence, belief systems, scientific models, and even how people argue and communicate. The process is often less about getting answers and more about improving questions. Whether someone ends up liking AI or not, I think it's worth understanding what modern systems can actually do before dismissing them. The technology has changed rapidly, and many criticisms I see today seem to be aimed at a version of AI that no longer exists. If you're curious but skeptical, a good tutorial is probably a better place to start than either the hype or the fear. At the very least, you'll be criticizing the technology that actually exists rather than the one you imagine exists. Watch if you dare. Its a bit of an infomercial. But its pretty good userguide imo. It explains in detail how to use it professionally. youtu.be/n7gxTAwQ634?si=OdQT…
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Replying to @FuzzyFox0
This is cool… There’s a lot of similarities to my user guide here! 😊 Need to start a /userguide movement for personal sites like the @aarondfrancis brag page!
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👋 Say hi to WorkBuddy: China's most popular desktop AI agent, now available worldwide. WorkBuddy handles the tedious work autonomously and delivers ready-to-use project files across coding, analysis, and productivity scenarios. What sets it apart: Built-in Skills Gallery: Call on 100 experts with pre-loaded knowledge, skills, and workflows. For complex tasks, agents collaborate on subtasks. Connected workspace: Plugs into GitHub, GitLab, Jira, Confluence, Google Drive, Gmail, Notion, Slack, and more to bring your entire workflow together. Work from anywhere: Send tasks via Slack, Telegram, or Discord and get outputs on your computer and back on your phone. Agent safety: Runs in a secure sandbox by default or accesses designated local folders with clear permission boundaries. Built with security in mind. Built for everyone, not just developers. 🔗 workbuddy.ai Userguide: workbuddy.ai/docs/workbuddy/…
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