reddit · SideProject · 10-04 20:50 45 分 ← 返回列表

I built a tool to verify what AI agents actually did

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 workf

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AI 分析

痛点：AI代理或自动化系统常声称任务已完成，但无法证明最终系统状态真的正确，需要独立验证其声明。

目标用户：构建AI代理、自动化流程、DevOps工作流或AI辅助系统的开发者与团队。

证据：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. ... I’m currently offering free early access.

变现：按验证次数或代理数量收费的SaaS，提供团队席位、审计日志、合规报告、企业集成和私有化部署。

MVP：2周内做一个CLI/SDK：定义Claim，自动从日志、API、数据库或文件系统采集Evidence，输出Verdict，并支持GitHub/Slack通知。

竞品：LangSmith、AgentOps、Braintrust、Arize Phoenix、W&B Weave、Galileo

摘要：发帖人因AI代理常报告“done”但最终状态未必正确，于是构建了SCC Runner，用Claim → Authority → Evidence → Verdict流程验证代理声明。当前仅提供免费早期访问，没有付费意愿或收入数据，但切中了AI代理可观测性与可信验证的新兴需求。