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Agentic AI systems can be built using 17 distinct design patterns that define how AI agents operate and interact. Key patterns include Multi-Agent Systems where multiple tools collaborate, Ensemble Decision Systems that use voting mechanisms, Tree-of-Thoughts for exploring reasoning paths, Reflexive approaches for acknowledging uncertainty, and ReAct loops that alternate between thinking and action. Each pattern has specific stages, build methods, outputs, and evaluation criteria for constructing large-scale AI systems.