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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 since moved in a very different direction.

Instead of just shipping software, we're now embedding a 实时 AI agent inside the 系统 itself — running within defined 工作流, permission scopes, guardrails and kill-switch controls.

从 an engineering standpoint, the most interesting part is the level of acceptance.

A few years back, getting VM access inside certain organisations — even for a small, isolated application — could be an uphill fight.

今天, some are already open to letting a 实时 AI agent operate with sudoer privileges, and in tightly controlled cases, even full root access inside an isolated VM.

That is a significant shift.

It tells me the conversation has moved past whether AI is capable enough. The real questions are now about trust, control, security, and how safely an AI agent 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