A single agent with many tools and long instructions becomes hard to steer: it picks the wrong tool, forgets rules and is difficult to test. Multi-agent solutions split the work among specialized agents, each with focused instructions and a small set of tools, and coordinate them. This mirrors how teams of people divide work.
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