Developer Builds 13-Agent AI System to Replace Single-Model Limitations

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A developer replaced their single AI assistant with a network of 13 specialized agents, each handling a distinct domain such as research, finance, DevOps, and creative writing. The agents are coordinated by a central orchestrator called General, and communicate through a shared knowledge bus rather than a rigid chain of command. The system fails regularly, with bugs now numbered and named due to their frequency. Despite the instability, the developer found that the multi-agent architecture is better at catching errors than any single model could be. The project became an unexpected lesson in delegation, showing that reliability comes from many fallible processes checking each other rather than one supposedly perfect system.

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