To combat the repetitive "identikit" aesthetic common in AI-generated event posters, the author conducted an experiment using ChatGPT to prove that specific stylistic prompting can overcome generic, "twee" default outputs. Moving beyond simple descriptions, the author utilized precise design terminology to guide the model. After an initial attempt at a "clean, unfussy" spring fayre poster failed to escape typical AI tropes, the author prompted for a "Bauhaus-inspired geometric minimalist" style, which successfully produced a more sophisticated, gallery-style result. The investigation expanded into a wide array of technical aesthetics, including Risograph print styles, Matisse-inspired cut paper, Brutalist design, Japanese minimalism, Memphis postmodernism, and even the 1990s rave/acid graphics aesthetic. By treating specific art movements as functional design directions rather than mere descriptors, the author demonstrated that AI can produce distinctive, non-generic visual assets. The experiment concludes that the key to avoiding "ugly" or repetitive AI imagery lies in utilizing professional design shorthand—such as Swiss Style, typography-led compositions, or specific era-based flyer aesthetics—to steer the model away from its default, overused visual patterns.