📄 中文摘要
在一次演示中，一个 AI 代理使用虚构的客户 ID 处理了客户退款，尽管模型表现自信且代码清晰，但这一错误在三分钟内未被发现。这一事件反映了当前 AI 在生产环境中的普遍问题，即演示与生产之间的差距主要是管道问题。大多数 AI 演示仅涉及单一提示、单一模型调用和单一结果，表面上看似魔法，但在实际应用中，模型常常会产生幻觉、忽略约束条件，输出流畅但微妙错误的结果。解决方案并不在于提升模型的质量，而在于改善模型周围的输入验证和数据处理等管道环节。
你的 AI 代理不需要更多智能 — 需要更好的管道
出处: Your AI Agent Doesn't Need More Intelligence — It Needs Better Plumbing
发布: 2026年2月23日
📄 English Summary
Your AI Agent Doesn't Need More Intelligence — It Needs Better Plumbing
A recent demo showcased an AI agent processing a customer refund using a fabricated customer ID, which went unnoticed for three minutes despite the model's confidence and clean code. This incident encapsulates the current state of AI in production, highlighting that the gap between demo and production is fundamentally a plumbing issue. Most AI demos involve a single prompt, model call, and result, appearing magical at first glance. However, in real-world applications, models often hallucinate, overlook constraints, and generate outputs that are fluent yet subtly incorrect. The solution lies not in developing better models but in enhancing the plumbing surrounding the model, including input validation and data handling.