agent-apprenticeship

Agent Apprenticeship is an ecosystem in which AI agents complete tasks through iterative workflow loops and continuously improve. In this system, AI agents iteratively execute tasks, and their outputs are evaluated by mentor agents or humans, transforming completed work into reusable experience and data to enhance future agents. The system is applicable across a wide range of domains, from simple tasks to complex professional workflows. Users can run automated agent workflow loops, contribute learning signals, and leverage shared ecosystem signals to improve their own agents.