The future of AIAgent won't just stop at adding an automation layer to human capabilities, but will gradually evolve into a true system operating layer. Many capabilities that seem important today, such as skill, MCP, and CLI, are essentially transitional interface forms.

Their existence is to allow models to learn how to call the external world first, but in the long term, these capabilities will be absorbed internally like drivers in an operating system, becoming the Agent's instinctive actions. By then, people won't care about what protocol is used for connection, which command was called, or how many intermediate layers were involved—they only care whether the objective is steadily accomplished.

A truly mature Agent shouldn't expose tools as the primary interaction object. CLI has too high a cost for humans; it's more suitable for machines than for the general public. The future focus isn't on teaching people more commands, but on having the Agent itself understand, select, orchestrate, and correct errors. Tools will become increasingly invisible, capabilities increasingly internalized, and interactions increasingly outcome-oriented.

So when many people say GUI user interfaces are finished, I disagree. This doesn't mean interfaces will disappear. On the contrary, the stronger an Agent becomes, the more it needs a high-density, low-burden GUI panel to help people/machines quickly understand system status.

Even AI shouldn't read all feature documentation before operating; instead, it should first see the global state and system operation: which tasks are currently running, which resources are occupied, which objectives are completed, where risks exist, and why the system made these decisions. The best Agent experience in the future won't be command-line manipulation or chat-style exploration, but rather a sense of collaboration that is comprehensive, interventional, and trustworthy. Whoever can simultaneously handle hidden complexity and clear global awareness will be closer to the next generation of Agent.