using-generic-agents

To select an AI agent for task execution, evaluate the task requirements and dispatch the appropriate generic-purpose subagent like Haiku, Sonnet, or Opus. This ensures the right balance between efficiency and effectiveness for your specific needs.

The difference between Haiku, Sonnet, and Opus subagents lies in their model characteristics and strengths. Opus is suited for complex analysis requiring sustained focus, while Haiku and Sonnet offer varying levels of support and performance for less demanding tasks.

You should dispatch an Opus subagent for a task when dealing with complex analysis that requires sustained focus and judgment. It is beneficial for staying on track during difficult analytical operations where high autonomy is needed.

Yes, you can use generic-purpose subagents for tasks requiring sustained focus by selecting Opus. It is designed to handle complex analysis that requires staying on track and exercising sustained judgment throughout the task execution.

The limitation of using Haiku for complex analytical tasks is its reduced ability to stay on track compared to Opus. Haiku is optimized for different model characteristics, making it less suitable for tasks requiring sustained focus and heavy judgment.