Anthropic just dropped a 33-page blueprint for building effective AI agents. Zero theory, just production architecture patterns used by Claude, Coinbase, Stripe, and Intercom.
Every system follows one cycle:
Perceive -> Decide -> Act -> Evaluate -> Repeat.
Here are the 5 core patterns to know:
Single Agent: One model in a loop. Solves 80% of problems, don't over-engineer it.
Sequential: Step-by-step handoffs. Predictable and easy to audit.
Parallel: Tasks split across agents at once, then merged. Built for speed.
Hierarchical: A supervisor agent managing a team of specialists.
Evaluator-Optimizer: A 2-agent loop (generator + critic) refining quality over 2-4 cycles.
The Bottom Line: Multi-agent architectures outperform single models by 90.2% on complex tasks. Just match your complexity to the value.
Read the manual, then check out the "Loop engineering" article below.
Anthropic은 클로드, 코인베이스, 스트라이프, 인터콤 등에서 사용한 실전 아키텍처 패턴을 담은 33페이지 설계 가이드를 공개했습니다.
시스템은 '인지 -> 결정 -> 행동 -> 평가'의 사이클을 따르며, 다음 5가지 핵심 패턴이 있습니다.
결론적으로 복잡한 작업에서 다중 에이전트 아키텍처가 단일 모델보다 90.2% 더 우수한 성과를 보인다고 밝혔습니다.