Anthropic finds single AI agent beats many subagents in quality and speed
anthropic recommends consolidating sub-agents into a single agent with on-demand context, citing better results in quality, cost, and latency. this affects companies using multi-agent setups.
anthropic recommends that companies evaluate consolidating sub-agents into a single agent that loads context on demand. the company's experience shows that many specialized sub-agents can lead to higher latency, rising costs, and information loss at every handoff. anthropic's applied ai team found that a single agent using skills frequently beat both monolithic prompt designs and sub-agent setups on quality. newer models like opus 4.5, opus 5.5, and fable 5.1 can manage complex plans directly in a single loop, reducing costs and wait times. anthropic has published a migration kit on github to help teams make the transition.