The underlying logic of AI evolution is a race for efficiency. From early auxiliary tools to today's intelligent agents, we are witnessing a qualitative leap—from "helping humans do things" to "doing things for humans."

This shift is not just a simple upgrade of features but a fundamental redefinition of work modes. Copilot represents the first phase of exploration, emphasizing human-AI collaboration, with humans always at the decision-making center. Agents, on the other hand, are different; they possess autonomous planning, execution, and feedback capabilities, capable of independently completing complex multi-step tasks.

What is most impressive are the fully automated pipeline-style Agent applications—no human intervention needed, with a single command connecting data collection, processing, and output into a complete chain. For tech beginners, this plug-and-play friendliness truly lowers the entry barrier. You don’t need to understand the underlying details to enjoy the benefits of automation.

This wave is rewriting the definition of workflows and also redefining what it means to be a "productivity tool."