智能体公司操作系统：面向企业智能体持续部署的基底反转
原标题：The Agentic Company OS: Substrate Inversion for Sustained Enterprise Agent Deployment
AI 摘要
这篇 arXiv 立场论文指出，企业 AI 智能体常在演示中成功却在持续运营中停滞，根源在于智能体所读取的工作上下文（认知基底）是为人类操作者和传统应用设计的，而非为语言模型设计。作者提出「基底反转」主张：企业应围绕 LLM 的推理界面重建共享认知基底，将模式转换隔离在行动边界，并以 Markdown 作为当前可用实例。论文提出数据、知识、智能、治理四层框架，由 Sync Agent 执行行动边界和按技能信任梯度，并讨论了间接提示注入等风险及研究议程。
正文节选
The Agentic Company OS: Substrate Inversion for Sustained Enterprise Agent Deployment Abstract Enterprise AI agents often succeed in a demonstration and then stall once they must operate day after day. An industry report estimates that most pilots never reach production and that deployed systems rarely retain feedback or improve over time, while agent benchmarks show single-run successes masking unreliable repetition. We argue that these failure modes share a common architectural root: agents re