Anthropic’s Multi-Agent Blueprint: Trading Tokens for 90% Accuracy Gains

Anthropic’s multi-agent architecture demonstrates that performance gains in complex research tasks are primarily driven by token volume and parallel execution rather than prompt optimization. This shift signals a new era where 'token budget' becomes the primary lever for AI reliability, forcing production teams to weigh high compute costs against significant accuracy improvements.