Abstract

not-yet-known not-yet-known not-yet-known unknown The advancement of Large Language Models (LLM) has also resulted in an equivalent proliferation in its applications. Software design (especially, the development of UI/UX) has gained tremendous benefits in using LLMs as an interface component that extends fixed user stories. However, inclusion of LLM-based AI agents in software design often poses unexpected challenges. The most prominent of these challenges is the uncertainty in understanding what the system does (or its scope). Through the example of UI-based user stories, we provide a comparison against traditional methods and propose a new way to enhance specifications of natural language-based questions that allows for better understanding of the system by specifying its data sources, interfaces and algorithms.