Miss Tammy as a Use Case for Moral Prompt Engineering

Abstract

This paper describes an LLM-based chatbot as a use case for moral prompt engineering. Miss Tammy, as it is called, was created between February 2024 and February 2025 at the FHNW School of Business as a custom GPT. Different types of prompt engineering were used. In addition, RAG was applied by building a knowledge base with a collection of netiquettes. These usually guide the behavior of users in communities but also seem to be useful to control the actions of chatbots and make them competent in relation to the behavior of humans. The tests with pupils aged between 14 and 16 showed that the custom GPT had significant advantages over the standard GPT-4o model in terms of politeness, appropriateness, and clarity. It is suitable for de-escalating conflicts and steering dialogues in the right direction. It can therefore contribute to users’ well-being and is a step forward in human-compatible AI.