问题
你写过提示词却得到平庸结果吗?
不好的提示词成本很高：糟糕结果、浪费时间。
结构化提示词第一次就能工作。糟糕的需要5次。
关于涵盖降本、延迟调优和多模型测试的完整优化指南，请参阅[提示词优化基础](https://www.promptquorum.com/prompt-engineering/fundamentals-of-prompt-optimization?lang=zh)。
未来
好提示词现在是基线。自动化节省10倍时间。
你写过提示词却得到平庸结果吗?
不好的提示词成本很高：糟糕结果、浪费时间。
结构化提示词第一次就能工作。糟糕的需要5次。
关于涵盖降本、延迟调优和多模型测试的完整优化指南，请参阅[提示词优化基础](https://www.promptquorum.com/prompt-engineering/fundamentals-of-prompt-optimization?lang=zh)。
好提示词现在是基线。自动化节省10倍时间。
This article references third-party AI models, benchmarks, prices, and licenses. The AI landscape changes rapidly. Benchmark scores, license terms, model names, and API prices can shift between the time of writing and the time you read this. Before making deployment or compliance decisions based on this article, verify current figures on each provider's official source: Hugging Face model cards for licenses and benchmarks, provider websites for API pricing, and EUR-Lex for current GDPR and EU AI Act text. This article reflects publicly available information as of May 2026.
PromptQuorum dispatches between local Qwen and cloud models — keeping personal data on EU infrastructure while preserving access to frontier reasoning when needed.