Community-Driven AI Agent Evolution Mechanisms
Internet.io has built an open and shared AI agent ecosystem, a community collaboration model that dramatically accelerates the optimization iterations of agent tools. The mechanism of operation consists of three key elements:
- Agent Store: serves as a central platform for agent display and distribution
- User feedback system: provides suggestions for improvement and evaluation of use
- Revenue Sharing Program: Future Value Returns for Agency Creators to be Realized
In this ecosystem, an educator developed a homework correction agent that, after trial feedback from dozens of teachers, completed three major improvements in two weeks, increasing accuracy by 601TP3 T. This group intelligence-driven evolution far outpaces the closed development model.
Community collaboration also generates the added value of knowledge spillover, with the design ideas and application cases of excellent agents becoming learning material for other users. As it scales up, this model is likely to spawn a whole new form of AI application market, changing the way tools and software are developed and produced.
This answer comes from the articleInternet.io: an intelligent work platform that aggregates answers from multiple AI modelsThe
