AI 分析
痛点：企业和开发者部署 AI/Agent 后缺乏可控的输入输出筛查与远程熔断机制，无法在 agent 越权或输出危险内容时快速关停。
目标用户：把 LLM/Agent 接入生产环境的企业研发与安全合规团队、AI 应用独立开发者。
证据：The dangers are being extremely underestimated in my opinion, even with current systems. So I made this to begin an effort on developing real safe guards for the issue. It screens input and output and lets you shut off as large or as narrow of its use as you'd like. Rules are defined in plain english. All it takes to implement are two calls around wherever your LLM and it screens them in around 90 mms to 300 mms.
变现：按调用量或坐席的 SaaS 订阅（免费额度引流）+ 企业私有化部署授权，附加合规审计日志与策略报表增值包。
MVP：两周内做一个 OpenAI/Anthropic 兼容的代理层 SDK：用自然语言规则生成拦截策略，对输入输出做 熔断/改写/告警，配一个轻量 Dashboard 显示拦截记录与 kill switch 一键开关，先保证 p95 延迟低于 150ms 并用 3 个真实客户案例验证。
竞品：Guardrails AI、NVIDIA NeMo Guardrails、Lakera Guard、Prompt Security、Cisco AI Defense、Pillar Security
摘要：开发者在 r/SideProject 发布 Kill Switch，为 AI 与 AI Agent 提供输入输出筛查和可粗可细的远程熔断，规则用自然语言定义，接入只需两次调用，延迟 90–300ms。帖子是产品发布贴，没有收入数据、也没有他人付费意愿的评论证据，需求验证偏弱；但 AI Agent 安全护栏赛道当下热度高、合规预算真实存在，只是竞品（Lakera、NeMo Guardrails、Cisco 等）已相当密集。适合独立开发者以低延迟代理层+自然语言策略为切入点做小切口。