Information Card

Purpose: Help users practice new ways of imagining and formulating queries.



Research suggests that effective prompting of LLMs can be challenging (Zamfirescu-Pereira et al., 2023) and query formulation even in mainstream web search engines is complicated (Tripodi, 2018). Mollick (2023), not specifically re search systems, has called for “large-scale public libraries of prompts”.


Mollick, E. (2023). One useful thing. Now Is the Time for Grimoires.

Tripodi, F. (2018). Searching for alternative facts: Analyzing scriptural inference in conservative news practices. Data & Society.

Zamfirescu-Pereira, J. D., Wong, R. Y., Hartmann, B., & Yang, Q. (2023). Why johnny can’t prompt: How non-ai experts try (and fail) to design llm prompts. Proceedings of the 2023 Chi Conference on Human Factors in Computing Systems.