Part 3/14:
Erik emphasizes that multi-agent setups can be particularly effective for complex tasks that benefit from parallel processing and divide-and-conquer strategies. For instance, in deep search scenarios, a parent agent can delegate subtasks to multiple sub-agents, each working independently yet collaboratively. These sub-agents can utilize different tools or approaches, thereby speeding up processing and improving accuracy.