When should you choose multi-agent over single-agent AI?

When should you choose multi-agent over single-agent AI?

Single-agent setups excel at focused tasks, but multi-agent systems coordinate specialised agents like data fetchers, analyzers, and planners to tackle complex workflows. In scenarios with parallel dependencies or branching logic, multi-agent architectures increase resilience and scalability, though they require orchestration layers to manage communication and conflict resolution.

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