How We Built Our Multi-Agent Research System
AI Summary
The engineering write-up behind Claude's Research feature. A lead agent plans, spawns parallel sub-agents to search, then a CitationAgent attaches sources. Documents the early failure modes — 50 sub-agents for trivial queries, endless searches for non-existent sources, sub-agents distracting each other with status updates — and the prompt-engineering fixes that made it production-grade. The clearest publicly available case study of a multi-agent harness in production.
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Content attributed to the original author (Jeremy Hadfield, Barry Zhang, et al. (Anthropic)). Burn 451 curates publicly available writing as a reading index. For removal requests, contact @hawking520.