The rise of increasingly sophisticated large language models (LLMs) necessitates a shift in how we structure interactions. Basic prompting often yields predictable, albeit sometimes limited, results. Agentic prompting, however, represents a novel methodology that goes beyond mere instruction, effectively architecting AI behavior to support more com