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Sub-Agents & Parallel Execution
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A sub-agen...
A sub-agent is given a focused, narrow task. Compared to one large agent handling everything, this approach primarily improves:
Reasoning quality — a smaller, relevant context window reduces noise and helps the model reason more accurately
Network latency — smaller prompts travel faster over the internet
Model accuracy — sub-agents use a specialised version of the model fine-tuned for narrow tasks
Cost — sub-agents are billed at a lower rate than full agent sessions
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