Original Summary

I work on Maetra, and this is the control model we use for consequential actions. A reviewer approves one refund envelope with a specific agent, tool, account, amount, policy version, and executor. If the execution request changes the amount or destination, authorization rejects it. If the unchanged capability was already consumed, a replay is rejected too. The 35 second video uses an illustrative refund to show the boundary. I would be interested in how other builders handle payload drift between review and execution.   submitted by   /u/MaetraAi [link]   [comments]

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/16 01:00:25