A team is considering a swarm architecture for a new agentic system. Which task type is most likely to benefit from swarm coordination?
Answer: Classifying 10,000 independent customer support tickets
Swarms accelerate embarrassingly parallel tasks — independent, homogeneous work items that can be processed concurrently without coordination. Classifying 10,000 independent tickets is a perfect fit: each ticket is independent, the task is homogeneous (same operation on each), and parallelism delivers a near-linear speedup. Chain-of-thought reasoning, distributed system debugging, and iterative report writing all require sequential reasoning where each step depends on the previous — precisely the task class where multi-agent coordination degrades performance by 39–70% (Google DeepMind, 2025).