Multi-Agent

Conclusion first: the value of multi-agent doesn’t come from more models; it comes from the right structure. Multi-agent without structure is just more expensive concurrency — burn 2 to 3 times the tokens to watch a group of models nod at each other. Multi-agent with structure is an execution system that can delegate, parallelize, and verify. Why a Single Agent Fails at Long Tasks # Diagnosis first. A single agent executing complex tasks has five structural defects — blame the execution structure, not the model’s intelligence:

There’s a counterintuitive phenomenon: take the same model, split it into multiple independent instances, and have them collaborate — the result is often better than a single instance. Not more compute (three instances burn more total tokens than one), not more capability (every instance is the same model). The gain comes from role separation — when each agent attends to only one facet of the problem, it works with more focus and more depth than a “do-everything agent”.