| Sumario: | • Generative AI can elevate designing simulations. • Variation exists between generative AI models in output quality and focus. • AI-generated prompt template reduces faculty workload. • Human component essential for ensuring AI-generated output reliability. Generative AI tools like ChatGPT are rapidly changing academia and healthcare, particularly in nursing education through their ability to assist in creating clinical simulation scenarios. The key to effectively using these tools lies in prompt engineering, the careful crafting of inputs to guide AI outputs. An initiative by nurse educators explored how prompt engineering, aligned with established simulation standards, could streamline scenario design. The findings revealed variations in output quality and focus among different AI platforms (ChatGPT, CoPilot, Claude), highlighting the need for careful selection and human oversight to ensure accuracy and relevance in AI-generated simulation content. This iterative process of prompt refinement holds significant promise for creating more engaging and effective learning experiences, but AI serves as a tool that augments, not replaces, the expertise of nursing simulationists.
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