AI Assistants, Automations, and Agents Are Not the Same Thing
A growing debate in AI development centers on the misuse of the term 'AI agent' to describe systems that may simply be assistants or rule-based automations. While all three can use the same large language model, they differ fundamentally in who or what decides the next action. An AI assistant responds to human prompts and leaves decision-making to the user, whereas an automation follows a predetermined sequence of steps triggered by predefined rules. A true autonomous agent, by contrast, starts with a goal and independently reasons, plans, acts, and adapts based on observed outcomes. Experts suggest the more meaningful question is not whether a system uses an LLM, but whether it can make bounded decisions when the expected execution path changes.
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