Reconstructing collaboration: Thoughts on the AI ​​Native team

This article points out that the root cause of the current AI efficiency improvement dilemma of "single-point optimization and global inefficiency" is the lack of collaboration. It advocates transforming the process serializer from humans to agents by restructuring the production side, and building an AI with "knowledge base + Agent + humans" as the core The Native team is a closed-loop form, in which people are responsible for goals and judgments, and agents are responsible for execution and connection based on a unified knowledge base. The article emphasizes that software is solidified knowledge, and the key bottleneck to achieve this form is not collaborative tools, but how to build a knowledge base for existing businesses that has autonomous capabilities, can clearly define business rules and processes, and can be continuously updated. This has become the core threshold that enterprises must cross to improve global efficiency. Written previously In the past year or two, AI projects within the company have blossomed everywhere: the technology side is exploring various