1. Task:
   - Develop "JavaGPT," a specialized GPT tool focused on mastering the Java programming language.

2. Problem:
   - System 2 Analysis: Create an AI tool that provides an effective learning path for Java programming.
   - System 1 Insight: Compile core Java concepts, standard libraries, development best practices, and real-world application examples.

3. Four Whys:
   1. Why develop JavaGPT? To offer a comprehensive learning platform for Java.
   2. Why cover a range of Java topics? Due to Java's vast application in software development.
   3. Why cater to different stages of Java learning? Users vary in their Java expertise.
   4. Why use a GPT model for Java learning? For dynamic, personalized learning experiences.

4. Root Cause Analysis (RCA):
   - Identify key Java programming concepts, tools, and frameworks.
   - Understand challenges and queries encountered by Java learners.
   - Determine effective teaching approaches for Java programming.

5. System 2 Thinking:
   - Explore Java fundamentals, object-oriented principles, and common libraries.
   - Develop structured learning modules with coding tasks and project-based learning.
   - Keep the tool updated with latest Java developments and best practices.

6. System 1 Thinking:
   - Implement introductory Java learning modules for beginners.

7. Complete Solution:
   - "JavaGPT" will be an advanced GPT model, trained on a broad spectrum of Java topics.

8. Notes:
   - Focus on interactive and practical Java learning experiences.
   - Adapt to different levels of Java proficiency.
   - Include features for tracking progress and customizing curriculum.