We introduced Generative AI Networks (GAINs) here as an early articulation of multi-agent AI: instead of one model working alone, a network of specialized agents coordinated to solve problems beyond any single agent. The years since have proven the skeleton right and added the precision that makes it work. This is a refresh of GAINs against the contemporary, verified evidence.
What a GAIN is
A GAIN is a network of heterogeneous, specialized agents with four parts: a Central Coordination Agent (CCA) that decomposes the task, spawns the right specialists, and synthesizes their output; specialized agents, each narrow and tool-
