The difficulty level is certainly not for beginners. Since it doesn't work with the latest versions, it doesn't seem suitable for today's rapidly changing times. I tried my best to make it work, but I'm giving up. Of course, the lectures were made with great effort, but there is a limit when so many things don't work due to versioning issues. I rarely leave course reviews, but I'm leaving this because it's such a shame.

It is easy to understand because you demonstrate it directly without using complex or difficult terminology.

Thank you.

I especially liked how the prompt design process for the Saju (Four Pillars of Destiny) domain was explained in detail. It wasn't just about having the AI interpret Saju; I was able to learn a prompt structure that separates roles for each area—such as the Manseryeok (calendar), Saju Palja, Onomastics (name study), and MBTI—and then synthesizes the results. The process of building a workflow where multiple AI agents collaborate sequentially using n8n was very practical. The approach of handling domain logic with Python and orchestrating the entire flow with n8n was impressive, and it was a huge help in understanding how to design AI Agent services. I think this would be great not only for those interested in Saju services but also for anyone who wants to learn about multi-agent structures and n8n-based AI automation systems.

As a fan of Dr. Nam, I was surprised! Saju? Saju-palja? Suddenly? Manseryeok?! But the lecture was, as expected, excellent. What I personally found interesting was how curiosity evolves into an idea and how those ideas come together to create a product. In this course, it felt like the Mark I that Tony Stark built in the cave. It's rugged but immediately usable. If we lighten it up, add some color (maybe just add a login PG), and create our own Mark III, it would be good enough to launch as a product... In a way, what was built in the lecture is the Arc Reactor! haha. Personally, I had a lot of fun watching it from this perspective. Great job!