# Anthropic just dropped a 33-page blueprint for building effective AI agents....
Canonical: https://social-archive.org/yena/mLSmUxIovb
Original URL: https://x.com/leanxbt/status/2070893040324239517
Author: leanxbt
Platform: x
## Content
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.