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