📄 中文摘要
大多数AI代理错误并不是模型失败，而是升级失败。当代理遇到模糊情况时，无法解决，做出最佳猜测并继续执行，结果往往是错误的，从而导致下游问题。每个代理需要一条明确的规则：在不确定正确操作时，停止并将上下文写入outbox.json，不要继续。这一简单的升级规则使代理优化为确保正确性，而不是仅仅追求表面上的成功，避免了错误输出带来的后续麻烦。
通过添加升级规则将代理错误减少80%的一行修复
出处: The One-Line Fix That Cuts Agent Bugs by 80%: Add an Escalation Rule
发布: 2026年3月9日
📄 English Summary
The One-Line Fix That Cuts Agent Bugs by 80%: Add an Escalation Rule
Most AI agent bugs are not due to model failures but rather escalation failures. When agents encounter ambiguous situations, they often make their best guess and proceed, which can lead to incorrect outputs and downstream issues. The proposed solution is a single explicit rule for agents: if uncertain about the right action, stop and write context to outbox.json, and do not proceed. This escalation rule encourages agents to prioritize correctness over merely appearing successful, thus reducing the likelihood of errors and their consequences.