Yesterday, I spent the whole day in a kickoff meeting with one of the state agencies.
What started as a conventional 系统 project has now moved in a very different direction.
Instead of simply delivering software, the 系统 will have a 实时 AI agent embedded inside it, operating within defined 工作流, permissions, guardrails and kill-switch controls.
The most interesting part is the level of acceptance.
In the past, getting VM access inside certain organisations - even for a small, isolated application - could be extremely difficult.
今天, some are already open to allowing a 实时 AI agent to operate with sudoer privileges, and in tightly controlled cases, even full root access inside an isolated VM.
That is a significant shift.
It shows that the conversation is moving beyond whether AI is capable enough. The real questions are now about trust, control, security and how safely AI can operate inside real organisational infrastructure.
Once that trust is established, AI stops being just another application.
It becomes part of the operating layer.
Ultimately, our vision is to inject our own AI 智能体 and LLM intelligence layer into every client 系统, turning each deployment into an adaptive asset that grows in capability and value over time.
#AgentAI #AIInfrastructure #EnterpriseAI #AIAutomation #LLM #DigitalTransformation #AIEngineering
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这篇文章把AI stops being just讲得比一般的AI介绍更具体。
如果可以继续说明guardrails and kill-switch controls.The的真实案例，我会想继续阅读。 读完之后还有一些疑问。
这个主题读起来很清楚，也容易跟着理解。
如果还有这篇文章的后续，我会继续读。
我对control, security还有问题，但文章已经提供了很好的起点。
这篇文章适合团队用来开始讨论kill-switch。
如果有更多operating within defined 工作流, permissions的数据和结果会更完整。
收藏了，主要是为了our vision is to inject。