Promptology builds on and extends work in prompt engineering, reasoning prompts (e.g., chain-of-thought), prompt optimization, and linguistically informed prompt taxonomies such as TELeR and PromptPrism. It also aligns with emerging HCI-driven critiques that move beyond “prompt tricks” toward human-centered prompting as an interaction paradigm (e.g., Kraljic, 2024; Yang, 2023). Unlike technical prompting research, which focuses on model performance, Promptology emphasizes the cognitive, ethical, cultural, and pedagogical dimensions of prompting areas still underdeveloped in mainstream AI literature.
In very simple terms, Promptology is the study of how to write good prompts for AI tools like ChatGPT. It teaches you how to ask questions or give instructions in a way that helps AI understand you better and give the best possible answers.
From an academic perspective, the field is now moving toward several new directions:
Education
AI prompt taxonomies, TELeR, PromptPrism
1/2024 - 12/2025