The answer
Without limits, an agent may repeat ineffective actions or consume unnecessary resources. Stopping conditions define when success, failure, or a request for help should end the loop.
How did large language models lead to the development of agentic AI?
Why do agents need stopping conditions?
More FAQs in How did large language models lead to the development of agentic AI?
No. Agents are a much older idea in AI. LLMs introduced a flexible language-based component for interpreting goals and coordinating actions in newer systems.
A plan alone is a description of possible steps. An agentic system executes permitted actions, observes results, and may adapt subsequent steps using those observations.
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