Original Summary

I kept running into the same problem with AI agents and automation: the system says “done” , but that doesn’t always prove the final state is actually correct. So I built SCC Runner around a simple flow: Claim → Authority → Evidence → Verdict The idea is to verify important claims against real system evidence instead of trusting the agent’s own output. I’m currently offering free early access. I’d especially like feedback from people building agents, automations, DevOps workflows, or AI-assisted systems. https://scc.taiwildlab.com/signup   submitted by   /u/piratastuertos [link]   [comments]

中文概览

中文标题： 我构建了一个验证AI智能体实际执行情况的工具

作者因AI代理和自动化常显示“完成”但无法证明最终状态正确，构建了SCC Runner，流程为Claim→Authority→Evidence→Verdict，用真实系统证据验证重要声明，而非信任代理自身输出。目前提供免费早期访问，尤其希望构建代理、自动化、DevOps工作流或AI辅助系统的人反馈。链接：https://scc.taiwildlab.com/signup

  • 情报分类：开源项目与落地
  • 分类依据：作者自建AI代理验证工具并开放早期访问，属项目落地/工具发布。
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/5 04:19:36