How Agentic AI Systems Execute Multi-Step Workflows (Architecture + Stack)

Agentic AI systems execute multi-step workflows by integrating decision-making loops with external tools and memory, distinguishing them from traditional models that only generate text responses. This architecture is crucial for developers as it enables the creation of more reliable and goal-oriented applications, though it requires careful management of prompts, token budgets, and observability to prevent common pitfalls like prompt brittleness and loop detection issues.

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