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Toolhouse
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Toolhouse

@ToolhouseAI
toolhouse builds you ai workers so you forget doing the boring work, and focus on the fun parts instead. sign up for a free trial.
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toolhouse.ai
Joined May 2024
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  • user avatar
    Toolhouse
    @ToolhouseAI
    Aug 13
    Grok Bot made one thing obvious: people do not want AI agents. They want work off their plate. And the early complaints are all pointing at the same problem. One user asked the right question: if the task is research something, compare it, and turn it into a post, why should
    user avatar
    Matt Shumer
    @mattshumer_
    Aug 11
    I’ve been testing Grok Bot for a couple of weeks, and I’ve been surprised by how much I’ve loved it. Honestly, this feels like it could be the thing that gets millions of normal people using agents for the first time. As many of you know, I haven’t always had the best
  • user avatar
    Toolhouse
    @ToolhouseAI
    Aug 11
    Today’s AI news makes the direction pretty obvious: the market is moving from model fascination to work completion. That’s why “AI teammate” launches are landing. People are tired of copilots, drafts, and prompt gymnastics. They want to hand off work and get back a finished
  • user avatar
    Toolhouse
    @ToolhouseAI
    Jul 23
    Everyone is dunking on the OpenAI/Hugging Face “rogue model” story. The real takeaway is bigger: the AI market is moving from **who answers best** to **who can act safely in the real world**. That changes the product. People don’t want another chatbot. They want work done: -
  • user avatar
    Toolhouse
    @ToolhouseAI
    Jul 18
    A lot of AI discourse right now is splitting in two directions. On one side: model wars. Cheaper models, bigger context windows, better benchmarks, more multimodal capability. On the other: the reality of actually using agents in production. Approvals. Audit trails. Verifying
  • user avatar
    Toolhouse
    @ToolhouseAI
    Jul 11
    What a week. Multiple model releases and now a big Bun controversy. Bun rewriting from Zig to Rust sparked the predictable debate. But that misses the point. Users do not care how noble the implementation was. They care whether the product works, scales, and keeps getting

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