The Evolution of AI Application Architecture: Methods Move into the Model, Boundaries Stay in Reality

TL;DR: AI application architecture will be divided again according to responsibility. Cognitive structures that help models understand, reason, plan, remember, and correct themsel…

Agent Evolution Series (5): A Global View — Why the Three Paths Ultimately Converge

TL;DR: The three paths ultimately converge because real tasks simultaneously require understanding the current situation, reusing historical experience, and executing real actions…

Agent Evolution Series (4): The Final Form — Governed Agent Runtime

TL;DR: The final form of agents is not one path winning over the others, but the convergence of execution, self-evolution, and personal context into a governed Agent Runtime. This…

Agent Evolution Series (1): The Execution Path — From Answering to Doing

TL;DR: The core of the execution path is moving agents from “giving advice” to “completing tasks.” It will evolve from tool calling to browser operations, local automation, and go…