Anthropic’s Multi-Agent Blueprint: What Production Constraints Add

Short summary

Anthropic's multi-agent orchestrator pattern outperforms single-agent by 90% but costs 15x more tokens, making it viable only for research-style tasks with independent parallel directions. Token usage explains 80% of performance variance—success factors are a clear four-part agent contract, effort-scaling rules, and well-described tools. This architecture only makes sense for production systems when a task genuinely requires more context than one agent can hold.

• •Multi-agent systems outperform single-agent by 90% but cost 15x more tokens
• •Token usage explains 80% of performance variance—more than prompt quality
• •Only viable for research tasks with independent directions; not for tightly-coupled workflows

Generated with AI, which can make mistakes.