让 AI 同事在后台运行我的 Windows PC：我学到的 5 件事
5 things I learned letting an AI coworker run my Windows PC in the background
一位非程序员让自建的 AI 同事每天在自己的 Windows PC 上后台干活，靠直接读取应用控件而非截图，找并播放 YouTube 视频约需 1-2 秒。24 次真实工具调用中，回传给模型的工具输出从 668,083 字符降至 95,131 字符，减少约 86%。3 天内它向并行 AI 工作器派发 227 个任务，378 个请求中 84% 端到端完成。
I'm not a programmer. I ran cafes and a convenience store before this. For the last few weeks I've been letting an AI coworker I built (by intuition, with a lot of help from AI) do real work on my own Windows PC every day: filling web forms, organizing files, managing a small game project and video jobs.
Here is what surprised me, with numbers from my own logs only.
1. Screenshots are the slow part
Most "computer use" demos take a screenshot, think, click, take another screenshot. That is slow and it takes over your screen. Mine reads the app's controls directly instead of looking at pictures, so it works in the background while I keep using the PC. Finding and playing a YouTube video takes about 1-2 seconds.
2. The hidden bill is tool output, not your prompts
When I measured, the biggest cost wasn't the model's answers. It was huge tool results (page dumps, logs, long file reads) being fed back to the model. Across 24 real tool calls, what it sent went from 668,083 to 95,131 characters: about 86% less. That changed speed and cost more than switching models did.
3. Ask only before things that are hard to undo
I stopped wanting a "yes?" before every click. What I kept: a check before paying, deleting or messaging someone, and one hard rule: when I say stop, it stops, and it never silently repeats something it isn't sure finished.
4. Split big jobs across several workers
Over 3 days it handed 227 jobs to parallel AI workers. When I ran a game project as 8 parallel teams, each team finished 88-100% of its tasks. One assistant doing everything in a row was the bottleneck.
5. Memory and "pick up where you left off" matter more than raw IQ
It keeps long-term memory in Korean and English with the original records, and after a restart it resumes the interrupted job instead of starting over (it had to do that several times today alone). Over 3 days I sent 378 requests; 84% were finished end to end. The other 16% taught me more than the successes.
Honest status: solo founder in Seoul, no paying customers yet, looking for small pre-seed backing. Short overview: https://telegra.ph/ARCHE---local-AI-coworker-10-02
If you just need a small job done the same way, I take a $25 one-day Excel / file automation script: https://ko-fi.com/manmuli/commissions . Or buy me a coffee at https://ko-fi.com/manmuli if this was useful.
Written with AI assistance: my English isn't good, so my AI coworker drafted this from my notes and logs.
来源：Google AI：DEV 作者专属（RSS） · dev.to