# Agentic workflow patterns
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Agentic workflow patterns integrate modular software agents with structured large language model (LLM) workflows, enabling autonomous reasoning and action. While inspired by traditional serverless and event-driven architectures, these patterns shift core logic from static code to LLM-augmented agents, providing enhanced adaptability and contextual decision-making. This evolution transforms conventional cloud architectures from deterministic systems to ones capable of dynamic interpretation and intelligent augmentation, while maintaining fundamental principles of scalability and responsiveness.

**Topics**
+ [From event-driven to cognition-augmented systems](from-event-driven-to-cognition-augmented-systems.md)
+ [Prompt chaining saga patterns](prompt-chaining-saga-patterns.md)
+ [Routing dynamic dispatch patterns](routing-dynamic-dispatch-patterns.md)
+ [Parallelization and scatter-gather patterns](parallelization-and-scatter-gather-patterns.md)
+ [Saga orchestration patterns](saga-orchestration-patterns.md)
+ [Evaluator reflect-refine loop patterns](evaluator-reflect-refine-loop-patterns.md)
+ [Designing agentic workflows on AWS](designing-agentic-workflows-on-aws.md)
+ [Conclusion](conclusion.md)