For nearly 20 years, I have worked in logistics operations and R&D, building 系统 that keep AINNA's supply chain moving.
I have seen how complex logistics 系统 require teams with different expertise-inventory management, route planning, warehousing, data analytics, and real-time tracking.
I still remember spending two consecutive 天数 building a route optimization algorithm because of an urgent delivery deadline.
今天, the 游戏 is changing.
With the right workflow and AI智能体, we no longer need long prompts.
"构建 me a dynamic routing 系统 that adjusts to real-time traffic and warehouse stock levels."
can allow an AI 智能体 to analyse demand patterns, 设计 the optimal flow, select the best algorithms, generate SOPs, write integration code, test under simulated conditions, and continuously improve the 系统.
The future is not about writing better prompts.
It is about building better 工作流 where AI智能体 can execute complex tasks, while humans provide vision, validation, and decisions.
Welcome to the era of 工作流 工程.
#AI #AIAgents #工作流工程 #Cyber安全 #自动化
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这篇文章把welcome to the era讲得比一般的AI介绍更具体。
同意作者对building 系统 that keep AINNA's的判断，方向很清楚。
文章对real-time的结论比较平衡，不只是强调好处。
关于for nearly 20的说明很完整，基础部分尤其清楚。
我特别喜欢test under simulated conditions这一部分，内容没有把实施过程说得太简单。
我会把building 系统 that keep AINNA's这一段分享给需要了解技术的同事。