I am building Maetra, and this is the effect-check pattern I use for consequential agent actions. Keep the expected effect separate from the state reported after execution. If they match, the workflow has evidence for the next step. If they differ, preserve the mismatch and stop for reconciliation. Do not let a successful API response become the only reason to repeat a charge, message, deployment, or access change. The charge sequence in the video is illustrative. The implementation depends on the host workflow reporting or observing the resulting state. How are you handling ambiguous success responses before an automated retry?   submitted by   /u/MaetraAi [link]   [comments]

  • 情报分类：技术价值
  • 命中依据：Agent重试验证方法，AI工程经验
  • 来源：Reddit · SideProject
  • 原作者：/u/MaetraAi https://www.reddit.com/user/MaetraAi
  • 发布时间：2026/9/8 23:54:29