  This paper investigates the complexities of integrating Large Language Models
(LLMs) into software products, with a focus on the challenges encountered for
determining their readiness for release. Our systematic review of grey
literature identifies common challenges in deploying LLMs, ranging from
pre-training and fine-tuning to user experience considerations. The study
introduces a comprehensive checklist designed to guide practitioners in
evaluating key release readiness aspects such as performance, monitoring, and
deployment strategies, aiming to enhance the reliability and effectiveness of
LLM-based applications in real-world settings.
