Hello, Sol Park. Thank you so much for your thoughtful review. As you mentioned, rather than simply covering n8n installation or basic usage, this lecture focused on showing the entire flow of fleshing out ideas using an AI terminal and AI editor and connecting them to actual n8n automation workflows. I fully empathize with your feedback regarding the provision of Dockerfiles and Compose files. However, current AI development environments are often centered around NVIDIA GPU-based Linux/Windows environments, and since I have disposed of all my Mac equipment and do not currently own any, there were limitations in directly verifying and providing guidance for the Mac environment. Additionally, this lecture was planned as a practice-oriented course for those with some experience in configuring development environments, rather than a basic installation lecture for complete beginners. Therefore, I assumed that Mac users would be able to adjust basic Docker configurations or path differences according to their own environments. However, after hearing your feedback, I realized I should have more thoroughly considered that differences in environments could disrupt the learning flow. Furthermore, I find it difficult to provide a specific answer as I am not sure which "pre-revision" and "revised" versions you are referring to; however, we currently provide workflows as class materials for each stage of the process up to that point. If you open the workflows provided in the class materials, all the prompts used are included. If you could provide more detailed information on what I might be missing, I will do my best to incorporate it. Thank you for leaving such great feedback. I will continue to improve the course to ensure it remains an n8n automation lecture that can be directly applied to practical work.