An AI agent observes context, chooses an action, uses a model or tool, and updates what happens next. Its engineered identity lies in this loop and its boundaries, not in a chat-shaped interface.

AI Agent as a Goal-Directed Loop

In this situation—a tutor deciding whether to explain, retrieve, practice, or ask—which choice best applies “AI Agent as a Goal-Directed Loop”?

A multi-agent message should identify sender, recipient or topic, intent, payload, correlation, and expected response. Structured messages reduce ambiguity and make conversations traceable.

Messages Need Intent and Context

A fixed workflow follows predetermined transitions; an agentic workflow delegates some choices to a model or policy. Good designs use deterministic control where rules are known and bounded choice where ambiguity is real.

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