Multi-Agent
Systems Make Genius Shine Brighter
Genius without structure drifts, and structure alone is mediocre. Only when genius and structure multiply does the real value emerge. The ZenFlow benchmark (Claude Sonnet, 32 endpoints, 43 minutes) and historical proof from B-17, Toyota, and WHO checklists all demonstrate the same principle.
Why Smart Models Can't Explain
Smart models speak in hard-to-follow language; models that explain clearly are weak at reasoning. Use both. A concrete method for splitting a communication model (main) and a reasoning model (subagent) in Claude Code, and why this structure works.
The Preconditions for Improving LLM Multi-Agent Accuracy
Run several agents and you get more accurate? Only half true. Models trained on the same data fail in the same places. Multi-agent works under two conditions — design for error independence, or, in a verifiable domain, stand up a verifier outside the LLM.