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Creating a Professional Saju (Four Pillars of Destiny) AI Agent - Full-stack n8n+Python

Build a Saju (Four Pillars of Destiny) analysis AI agent that integrates Manseryeok, Astrology, Zi Wei Dou Shu, Onomancy (Name Study), and MBTI using n8n workflows and Python algorithms. We will complete a production-level service system from start to finish where 13 specialized agents collaborate to generate professional-grade Saju reports.

76 learners are taking this course

Level Intermediate

Course period Unlimited

Python
Python
n8n
n8n
AI
AI
prompt engineering
prompt engineering
AI Agent
AI Agent
Python
Python
n8n
n8n
AI
AI
prompt engineering
prompt engineering
AI Agent
AI Agent

What you will gain after the course

  • Design of a collaborative structure for 13 specialized AI agents based on Saju algorithms

  • Commercial-grade Saju (Four Pillars of Destiny) analysis report generation system through prompt engineering

  • Establishing Advanced Design and Optimization Strategies for Multi-AI Agent Systems

  • Implementing Practical Business Logic and Service Deployment Using n8n and Python

  • Planning AI services that reflect trends and strengthening problem-solving skills

  • Designing a Commercial-Grade AI Agent-Based Service Architecture

Collaboration of 13 AI Agents
Completing Your Own Saju Analysis System

Building an AI service completed with your own hands

This course is not about simple AI utilization or demo-level implementation. It covers the entire process of analyzing a specialized field you may not be familiar with, designing it into an AI agent structure, and completing it as an actual service. While the course uses the domain of Saju (Korean astrology) as an example, the core objective is to learn the methodology of structuring knowledge in a specific field and connecting it with n8n-based workflows, Python code, data processing, report generation, user input, and server deployment to create a single, complete service. bằng cách cấu trúc hóa kiến thức của một lĩnh vực cụ thể và kết nối nó với quy trình làm việc dựa trên n8n, mã Python, xử lý dữ liệu, tạo báo cáo, cho đến việc nhận đầu vào từ người dùng và triển khai máy chủ.

Furthermore, it goes beyond simple functional implementation to include how to build an AI service system at a practical, usable level by designing multiple AI agents in a collaborative structure and integrating data. Upon completing the course, the goal is not just to create a simple example, but to
directly design and implement a structure that can be expanded into a service for any professional field.

🚀 This course is not for everyone.

The AI Saju Agent built in this course is not just a simple example or a learning project; it provides results of a higher quality than many AI Saju services currently being offered for a fee. As such, I have determined that it is not appropriate to allow this content to spread indiscriminately so that anyone can easily implement and deploy it as-is. Therefore, this course is operated with a structure where the price gradually increases as the number of students grows.

🙏This is not just a pricing policy, but an operational standard that considers the quality of the output and its impact on the market.

🎯 Without needing a long explanation, see the final result of the lecture for yourself and judge by reading your own Saju.

Please note that a limit of one use per email address is applied to prevent excessive and indiscriminate use.
Additionally, errors may occur if there is a surge in users that exceeds the server's capacity.

💡 The system built through this course is not just a simple practice example, but an AI agent structure at a level that can be operated as an actual service. It connects everything from workflow design to data processing, report generation, web integration, and server deployment into a single complete service format, providing a structure that can be immediately operated and expanded by applying the course content as is. bằng cách áp dụng nguyên vẹn nội dung bài giảng.

Furthermore, compared to currently available paid automation tools or services, the system implemented in this course offers
a higher level of customization freedom, scalability, and output quality. Rather than simply using features, you will build a complete automation environment that you can design and operate yourself.

Creating a 5D Saju AI Agent
Experience building a real-world service through the collaboration of 13 specialized AI agents.

You will build an AI agent that integrates 5 types of analysis—including Manseryeok, Astrology, Zi Wei Dou Shu, Onomancy, and MBTI—at a production-ready level using
n8n and Python..

Based on what you've learned in the lecture, you will build an AI agent from scratch that integrates and analyzes Manseoryok, Astrology, Zi Wei Dou Shu, Onomancy, and MBTI using expert-level prompt engineering, and generate commercial-grade Saju reports.

5D Destiny Analysis AI Agent, build it yourself now!

We begin the journey of building an AI Agent from scratch that integrates and analyzes five core elements, including Manseryeok, Zi Wei Dou Shu, and Onomancy, using n8n and Python. Beyond simply learning theory, you will experience everything about AI Agent development by directly creating a system where 13 specialized agents collaborate to generate professional, service-level Saju (fortune-telling) reports.

Point 1. Collaboration between AI and 13 specialized agents

We will build an AI agent that integrates five analysis systems—Manseuryeok (Saju), Zi Wei Dou Shu, Astrology, Onomancy (Name Analysis), and MBTI—to collaborate like 13 different experts. You will develop the ability to design an AI system that generates in-depth analytical reports rather than just listing simple information.


Point 2. Building Practical Services with n8n+Python

By combining n8n's powerful workflow automation with Python's flexible algorithms, you will experience the entire process of implementing complex business logic and deploying it as a service. You can strengthen your practical skills, ranging from server setup required for actual service operation to domain integration.


Point 3. Automated Generation of Commercial-Grade Reports

Automatically generate high-quality HTML fortune reports at a premium template level using prompt engineering techniques. You can create high-quality outputs that visualize data-driven analysis results and even provide customized annual roadmaps for users.

Point 4. AI Agent Architecture Design

From designing the collaborative structure of AI agents to establishing advanced optimization strategies, you will systematically learn the core principles of building multi-AI systems. Moving beyond simple utilization, you will be able to design the architecture of AI-based services yourself and enhance your problem-solving skills.


Point 5. User Input and External System Integration

Understand form trigger-based input structures, network settings, and real-world constraints. Complete the integration of the fortune-telling analysis workflow, from creating web input forms through Vibe Coding to receiving webhooks and sending emails.


Point 6. Building Server Infrastructure for Real-Service Deployment

You will learn step-by-step the entire infrastructure construction process required for actual service deployment, including server setup, domain purchase, DNS configuration, SSH connection, and HTTPS application to turn an AI agent into a real service. You will complete the actual server deployment using Docker and domains.

thoughtful_thought All lectures provide class notes and source templates.

💡 In this lecture, key terms required for Saju analysis are provided separately through organized class notes.

Since Saju terminology is based on Chinese characters, it can be difficult to understand if you are encountering it for the first time. Therefore, we highly recommend referring to the class notes while taking the course. All concepts, variables, and interpretation standards used in the lectures are explained based on the class notes, and viewing them together will help you understand the prompts.

Are you feeling overwhelmed about where to start with AI Agents?
This course was created specifically for people like you.

✔️ Those who dream of building their own service with AI and Python

  • Those who want to directly build a production-level AI Agent by integrating n8n and Python

  • Those who want to learn how to analyze and structure a specific professional field to implement it as an AI-based service

  • Those who want to build a system that produces high-quality results through prompt engineering and data design thông qua kỹ thuật prompt và thiết kế dữ liệu

  • Those who want to experience the entire structure of a complete service from start to finish, rather than just simple functional implementation. thay vì chỉ dừng lại ở việc triển khai các tính năng đơn thuần.

✔️ Professionals who want to automate complex business logic

  • Those who want to use n8n and Python to go beyond existing tasks and automate complex logic into a single service

  • Those who want to design a functional system by connecting multiple AI agents

  • Those who want to go beyond simple automation and implement a service structure that produces data-driven results

  • Those who want to plan new services and even consider commercialization using AI technology

✔️ Intermediate developers who want to take their AI agent development skills to the next level

  • Those who want to experience the entire service cycle from workflow design integrating n8n and Python to deployment từ thiết kế quy trình tích hợp n8n và Python cho đến triển khai.

  • Those who want to have the ability to expand into AI services in any field without being restricted to a specific domain mà không bị phụ thuộc vào một lĩnh vực cụ thể.

  • Those who want to build architecture design and optimization capabilities by directly implementing commercial-grade AI agent structures

  • Those who want to strengthen their practical problem-solving skills by experiencing the entire process from planning to design, implementation, and deployment. thông qua việc trải nghiệm toàn bộ quy trình từ lập kế hoạch → thiết kế → triển khai → đến phát hành.


Successfully complete your own 5D Saju analysis AI Agent with n8n and Python,
and transform into an expert.

ℹ️ Notes before taking the course

Practice Environment

  • Operating System: Windows, macOS, Linux are all supported (however, the lectures will be conducted in a Windows environment)

  • Essential Tools: n8n, Docker, Portainer, FastAPI, Gemini API, ChatGPT API, Antigravity, etc.

  • PC Specifications: A standard PC with internet access (8GB RAM or more recommended, GPU does not matter)

Learning Materials

  • Provided Materials: Practice code, Docker Compose examples, and workflows and source materials used for each lecture chapter.

  • Organization Method: Materials required for each section are organized and provided for download.

Prerequisites and Important Notes

  • You should be reasonably proficient in basic PC usage.


  • It is helpful to have a basic understanding of Python syntax.

  • It is helpful to have an understanding of the basic concepts of n8n.

  • It is helpful to have a basic knowledge of AI and prompt engineering.

  • The lectures are practice-oriented, and while basic explanations are provided for the topics covered, it is not an introductory course, so every item will not be explained in detail.

  • Unauthorized distribution or reproduction of these lecture materials and source codes for any purpose other than taking the course is strictly prohibited.

Recommended for
these people

Who is this course right for?

  • Those who want to build backend and frontend services using n8n

  • Practitioners who want to automate complex business logic using n8n and Python

  • Intermediate developers who want to go beyond basic AI agent knowledge and implement practical services

  • Entrepreneurs and planners who are considering service planning and commercialization using AI technology

  • Those who want to enhance service quality through advanced n8n workflows and Python integration

Need to know before starting?

  • Basic understanding of n8n and AI Agents

  • Experience in Python basic syntax and function writing

  • Basic understanding of API calls and JSON data processing

  • Experience in AI chatbots or prompt engineering

Hello
This is nambaksa

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Hello.

I am Dr. Nam, the author of Youngjin.com's "Coding for the First Time with Python."

I mainly specialize in C/C++, Python, and the development of AI-powered automation systems (AI Agents).

To everyone watching my lectures, keep it up until the very end! "Fighting!"


💡Personal Blog: https://blog.naver.com/nkj2001

💡AI Blog: https://blogagent.kr

🎞Youtube: https://www.youtube.com/@blographer/featured

📖Purchase Book: Youngjin.com Coding for the First Time with Python

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30 lectures ∙ (9hr 6min)

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