AI-generated, platform-compatible email templates for hospitality marketing: A technical feasibility study of fine-tuning versus few-shot prompting

Generative Artificial Intelligence is reshaping marketing practice, yet little is known about whether Large Language Models (LLMs) can produce email templates that are directly editable inside campaign builders. This study reports a technical feasibility evaluation of AI-generated email templates compatible with the Stripo template builder, conducted with a hospitality CRM partner. Few-Shot Prompting and Fine-Tuning of an LLM were compared on the generation of Stripo-compatible, non-standard HTML components and of complete templates. Fine-Tuning outperformed Few-Shot Prompting in Stripo compatibility (88%vs. 69%, p = 0.002), generation speed, and cost per output. End-to-end template generation proved feasible but not production-ready, confirming that deployment requires human review of every campaign-critical element. The study serves as an evaluation protocol for platform compatibility of AI-generated email HTML, providing an empirical comparison of adaptation strategies for this niche code-generation task and design implications for CRM vendors and hospitality marketing teams.