Sai✓

@sai_borg

Your first robosecretary with its own computer fleet, by @simularai

45 Following1.1K Followers607 Posts
  1. Sai✓@sai_borg
    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 →
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  2. Sai✓@sai_borg
    A useful YouTube video can take an hour to turn into something the team can reuse. > Sai processes the video directly from its YouTube URL > Produces a complete transcript when you need searchable text > Builds a timestamped summary when you need the main points quickly > Creates scene descriptions or shareable clip ideas for content work Try Sai:
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  3. Sai✓@sai_borg
    Happy Wednesday 🙌 Your feed has probably been way too serious, so here is a short comic to lighten up the rest of your week. Enjoy the thread 👇
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  4. Sai✓@sai_borg
    Posts @sai_borg
    🚪 The agent that never truly clocked out
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  5. Sai✓@sai_borg
    Posts @sai_borg
    👻 Don't let your computer haunt you alone. Hire a Saibot to finish your spreadsheets, squash bugs, and handle the horrors while you sleep
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  6. Sai✓@sai_borg
    Running Meta ads is such a HUSTLE! You just end up scrolling forever 💀 So we wrote a cookbook guide showing how you can run it autonomously with Sai API !! You only need to drop one prompt into Claude Code and Sai handles the rest on a cloud machine. No more gatekeeping! View the full cookbook below
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  7. Sai✓@sai_borg
    Sai
    RT @iamlukethedev: Codex wrote the fix. @SimularAI found the bug in Edge on a real Windows PC and verified it #1 on OSWorld 2.0 in partial success rate (79.38%) Sai = $14.34 per task; Anthropic's Claude Computer Use with Opus 5 = $24.11 Comment "prompt" and I'll DM it to you
    Simular @SimularAI
    Our agent scientist, Agent S4, just got an open 27B model to beat GPT-5.5 and Claude Opus 4.8 on OSWorld V2, with the model's weights left exactly as they were. With the interfaces S4 evolved, Qwen3.8-27B completes 21.3% of the 108 tasks, the highest binary success of any open-source computer-use agent and 3.8x the same model with fixed interfaces. It costs $1.10 per task, against $25.50 for GPT-5.5 and $72.40 for Opus 4.8 💸 Full write-up:
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  8. Simular✓@SimularAI
    Our agent scientist, Agent S4, just got an open 27B model to beat GPT-5.5 and Claude Opus 4.8 on OSWorld V2, with the model's weights left exactly as they were. With the interfaces S4 evolved, Qwen3.8-27B completes 21.3% of the 108 tasks, the highest binary success of any open-source computer-use agent and 3.8x the same model with fixed interfaces. It costs $1.10 per task, against $25.50 for GPT-5.5 and $72.40 for Opus 4.8 💸 Full write-up:
    Download
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  9. Sai✓@sai_borg
    🪄 If your computer cursor is moving on its own, make sure it’s actually getting work done. Get your halloween Saibot:
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  10. Sai✓@sai_borg
    Agent S4 is open source, so you can go try to break it!! So @prompt48 did, on a laptop GPU with a small local model. Watch the agent stop clicking and start writing the shortcut 👇
    Prompt Engineer 48 @prompt48
    An AI agent that writes its own tools beat clicking cell by cell. I tested the idea behind Agent S4 on my 8GB laptop, and it also crashed on one sheet. Full breakdown 👇
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  11. Prompt Engineer 48✓@prompt48
    An AI agent that writes its own tools beat clicking cell by cell. I tested the idea behind Agent S4 on my 8GB laptop, and it also crashed on one sheet. Full breakdown 👇
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  12. Sai✓@sai_borg
    Sai
    RT @dair_ai: The Top AI Papers of the Week (October 19 - 25): - DiscoveryRSI - JevAgentHarness - Object-Oriented Harness - Evolving Agent Interfaces - Cache Engineering for Agents - Gemini Agents Beat Minecraft - Self-Evolving Continual Learners Read on for more:
    DAIR.AI @dair_ai
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  13. DAIR.AI✓@dair_ai
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  14. Sai✓@sai_borg
    How people are playing with Sai API this month 3️⃣ Yes, that’s Windows Calculator. But no, that’s not the point. The point is @GenAI_is_real’s Codex just used a real Windows app through the Sai MCP, and he didn’t set up a single machine to make it happen. Try Sai API here:
    Guitar Cat + LLM 「Will @ SGLang Summit in SF」 @GenAI_is_real
    The interface matters. Give your agent a computer. It stops block me when doing compute use 😂 Connected Codex to Simular’s Sai MCP, sent a plain-English task, and watched Sai operate Windows Calculator on a hosted desktop. It entered the calculations through the app and left both results visible in History. For developers, having the computer and desktop control available behind MCP is pretty useful. I can hand my agent a desktop task without building and maintaining the VM, screenshot pipeline, and action loop myself. Simular’s Agent S4 research also caught my attention: keep the model and agent harness fixed, then improve the interfaces the agent works through. Alongside clicks and typing, better tools can turn repetitive actions into a single operation. I think that direction has a lot of potential for vertical agents too. This video is a small, real Sai product demo; it doesn’t reproduce the S4 experiments. Waiting was cut from the recording. Separately, Simular reports the highest partial score on OSWorld 2.1—79.38%—for Sai with Claude Opus 5, at $14.34 per benchmark task. Those are vendor benchmark figures, separate from this demo.
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  15. Guitar Cat + LLM 「Will @ SGLang Summit in SF」✓@GenAI_is_real
    The interface matters. Give your agent a computer. It stops block me when doing compute use 😂 Connected Codex to Simular’s Sai MCP, sent a plain-English task, and watched Sai operate Windows Calculator on a hosted desktop. It entered the calculations through the app and left both results visible in History. For developers, having the computer and desktop control available behind MCP is pretty useful. I can hand my agent a desktop task without building and maintaining the VM, screenshot pipeline, and action loop myself. Simular’s Agent S4 research also caught my attention: keep the model and agent harness fixed, then improve the interfaces the agent works through. Alongside clicks and typing, better tools can turn repetitive actions into a single operation. I think that direction has a lot of potential for vertical agents too. This video is a small, real Sai product demo; it doesn’t reproduce the S4 experiments. Waiting was cut from the recording. Separately, Simular reports the highest partial score on OSWorld 2.1—79.38%—for Sai with Claude Opus 5, at $14.34 per benchmark task. Those are vendor benchmark figures, separate from this demo.
    Download
    Simular @SimularAI
    Our agent scientist, Agent S4, just got an open 27B model to beat GPT-5.5 and Claude Opus 4.8 on OSWorld V2, with the model's weights left exactly as they were. With the interfaces S4 evolved, Qwen3.8-27B completes 21.3% of the 108 tasks, the highest binary success of any open-source computer-use agent and 3.8x the same model with fixed interfaces. It costs $1.10 per task, against $25.50 for GPT-5.5 and $72.40 for Opus 4.8 💸 Full write-up:
    11238217K
  16. Sai✓@sai_borg
    How people are playing with Sai API this month 2️⃣ Solo founders shouldn’t be clicking through their own site after every deploy. Repetitive work like that is exactly the job to hand to an agent with a real computer. Here’s how @soham_nayak04 did it for SohamLaunches: one prompt in Claude Code, and Sai API spun up a Windows cloud machine, checked 9 pages, scrolled through 106 directories, flagged a 404 for him to review, and stopped at the login wall. All in 5 minutes. Built something with Sai API? Reply or tag us, you might be #3.
    Soham @soham_nayak04
    I’m building SohamLaunches solo. Every time I ship a change, I have to click through every page myself to check nothing broke. It’s boring, so I skip it, and that’s how bugs reach users. So I gave @sai_borg a computer and told it to QA my site. One prompt through Claude Code, and it opened the site on a Windows cloud computer and clicked through every page. Live view in the video. 9 pages checked, 106 directories scrolled, 5 minutes, $0.03. It flagged one 404 on /badges. Turned out to be my wrong guess, the route only exists per product. One false alarm, nothing actually broken. It also stopped at the login wall without trying to get through. Good. Would I use it for real QA? Yes, for the boring “click everything and tell me what breaks” pass. I’d still review what it flags.
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  17. Sai✓@sai_borg
    Sai
    RT @soham_nayak04: I’m building SohamLaunches solo. Every time I ship a change, I have to click through every page myself to check nothing broke. It’s boring, so I skip it, and that’s how bugs reach users. So I gave @sai_borg a computer and told it to QA my site. One prompt through Claude Code, and it opened the site on a Windows cloud computer and clicked through every page. Live view in the video. 9 pages checked, 106 directories scrolled, 5 minutes, $0.03. It flagged one 404 on /badges. Turned out to be my wrong guess, the route only exists per product. One false alarm, nothing actually broken. It also stopped at the login wall without trying to get through. Good. Would I use it for real QA? Yes, for the boring “click everything and tell me what breaks” pass. I’d still review what it flags.
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