为什么“用俳句处理一切”在生产中不起作用:OpenClaw的真实优化

📄 中文摘要

在对OpenClaw进行生产优化的过程中,作者发现简单的“用俳句处理一切”并未如预期般有效。尽管最初承诺能节省80%的成本,但实际情况却是,随着使用的深入,AI的成本迅速上升,尤其是在处理社区反馈、新闻通讯、SEO分析和简单任务时。通过对24/7运行的AI代理进行优化,作者总结了在实际业务工作流中有效和无效的策略,提供了对AI成本管理的深入见解。

📄 English Summary

Por Qué 'Usa Haiku para Todo' No Funciona en Producción: Optimización Real de OpenClaw

The optimization of OpenClaw in production revealed that the simple promise of 'Use Haiku for Everything' did not yield the expected results. Initially claiming an 80% cost reduction, the reality was that costs escalated quickly as the AI was employed for real business tasks, including community responses, newsletters, SEO analysis, and simple tasks. By optimizing an AI agent running 24/7, the author shares insights into what strategies worked and what did not, providing a deeper understanding of AI cost management in practical workflows.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等