Heartbreak House was written during the First World War, and yet the play keeps appearing on exam syllabi, in stage productions, and recommended book lists. The Large Language Model (LLM) analyses of the play revealed why issues can have an eerie resonance in the rise of AI, calling for the need for strategies related to the ethical use of AI. Throughout his career, Shaw issued warnings to his fellow humans and to society, but such warnings were often lost or dismissed. These warnings are especially poignant in Heartbreak House and their topics range from religion, education, government, and the dangers of materialism and mechanization. Shaw issued an urgent appeal to his contemporaries to take responsibility and practice good governance through “navigation.” While these warnings fell on deaf ears during Shaw’s time, the LLMs found that they can be reconsidered from an AI risk mitigation perspective. Using its power to predict and generate, the LLM proposes mitigation measures for different problems embodied by the characters, from romantic ideals and the power to deceive to the pursuit of enormous profits. This chapter shows how the LLM reconstructed the huge ideological context to portray each of the characters in Heartbreak House.