Agentic systems are systems that can autonomously pursue goals by perceiving their context, selecting actions, invoking tools, and iterating on the results until the goal is completed. This contrasts with deterministic workflows, which follow a predefined path and cannot make decisions.
Why it matters: Agentic systems can handle open-ended goals and unpredictable environments where the exact steps to achieve a goal cannot be specified at design time. However, their autonomous nature introduces higher risks and costs.
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