Stop burning tokens on solved problems: How my 12-year-old Office PC handles Email, OCR, and TTS for $0
Summary
作者分享如何用一台12年前的办公PC运行本地脚本(IMAP邮件轮询、Tesseract OCR、Piper TTS),把Telegram机器人例行任务从昂贵的LLM API调用转为零token的本地处理,显著降低成本。
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@yibie: Recommends this hardcore real-world test. An engineer tracked his coding agent session for a week and found that only 0.67% of tokens were spent on actual tasks—the remaining 99% all went to moving tool directories, skill descriptions, and system prompts. Work-to-overhead ratio 1:1…
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We built a computer-use API that cuts tokens by up to 90% on repeat tasks. Plugs into Claude Code, Codex, Cursor or your own code
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