📄 中文摘要
在使用 AI 代理的过程中，最初的清晰提示能够产生良好的响应，但随着多次尝试，输出结果却变得不一致。这种“几乎正确”的状态在依赖 AI 的产品中显得尤为棘手。作者观察到输出结构的漂移和关键指令的缺失，导致了产品的可靠性下降。为了解决这一问题，必须对 AI 代理的行为进行系统性的调整，以确保其在生产环境中的一致性和可靠性。
从提示到系统：修复生产中的 AI 代理漂移
出处: From Prompts to Systems: Fixing AI Agent Drift in Production
发布: 2026年3月30日
📄 English Summary
From Prompts to Systems: Fixing AI Agent Drift in Production
Initially, the AI agent responded well to clear prompts, but repeated attempts led to inconsistent outputs. This variability, while interesting in isolation, became problematic when building a product that users rely on. Patterns of drifting outputs and missing key instructions were observed, undermining the reliability of the product. To address this issue, systematic adjustments to the AI agent's behavior are necessary to ensure consistency and reliability in production environments.