Tell Me Your Prompts and I Will Make Them True: The Alchemy of Prompt Engineering and Generative AI

Bozkurt A.

OPEN PRAXIS, vol.16, no.2, pp.111-118, 2024 (ESCI)

  • Publication Type: Article / Article
  • Volume: 16 Issue: 2
  • Publication Date: 2024
  • Doi Number: 10.55982/openpraxis.16.2.661
  • Journal Name: OPEN PRAXIS
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, EBSCO Education Source, Educational research abstracts (ERA), ERIC (Education Resources Information Center), Directory of Open Access Journals, DIALNET
  • Page Numbers: pp.111-118
  • Anadolu University Affiliated: Yes


This paper explores the emerging field of prompt engineering within generative AI, emphasizing its role as a critical intersection between art and science. Prompt engineering is identified as the key to unlocking the full potential of generative AI technologies by optimizing human-AI communication. Through a comprehensive analysis of the related literature, this study illustrates how prompt engineering transcends mere technical manipulation, requiring a blend of creativity, strategic thinking, and a deep understanding of generative AI capabilities. This paper provides various strategies for crafting effective prompts, from simple to sophisticated techniques, highlighting the importance of ethical considerations and the potential risks associated with prompt manipulation. By establishing a set of principles and guidelines, this paper aims to advance prompt engineering as a discipline essential for enhancing AI’s functionality and reliability and, with this justification, introduces the ‘Prompt Engineering for Gen[i]erative AI Framework’. After all, this paper calls for a multidisciplinary approach to prompt engineering, advocating for its recognition and development as a pivotal component of AI literacy and application. Through this exploration, this paper intends to contribute to the evolving dialogue on the integration of human creativity with generative AI capabilities, offering insights into the future of effective and ethical AI interaction.