In my pursuit of advancing AI technology, I embarked on a project to develop a customized Generative Pre-trained Transformer (GPT) tailored for fire and safety compliance. The objective was to create an AI assistant, named TEX, that could provide expert guidance, code references, and best practices specifically for Texas fire and safety regulations. This project aimed to showcase the potential of GPTs in specialized applications and to refine my skills in developing effective AI solutions. Key Responsibilities: Conducted thorough research on Texas fire and safety codes to ensure comprehensive knowledge integration into the GPT. Designed and trained the GPT model to understand and interpret complex regulatory language, providing accurate and relevant responses. Implemented natural language processing techniques to enable TEX to interact with users in a clear and understandable manner. Tested and refined the model based on user feedback to improve its accuracy and usability. Achievements: Successfully developed TEX, a GPT tailored for fire and safety compliance, demonstrating the feasibility of creating industry-specific AI assistants. Received positive feedback from initial users on the tool's ability to provide quick and accurate guidance on compliance matters. Enhanced my skills in AI development, particularly in training and fine-tuning GPT models for specialized applications. Laid the groundwork for future projects in developing customized GPTs for various industrial and niche applications. Reflection: This project was a significant milestone in my journey to harness the power of AI for practical and impactful applications. Developing TEX not only allowed me to contribute to the field of fire and safety compliance but also honed my abilities in creating tailored AI solutions. As I move forward, I am excited to explore the potential of GPTs in addressing diverse challenges across different industries.