
Build an AI OS You Actually Own: Avoid Deprecation
From: Any Model. Any App. Build Your AI OS to Work Everywhere.
In this intermediate interactive worksheet, students will learn how to build an “AI OS”—an AI system they actually own—so their ideas won’t disappear...
Multiple Choice Questions
1. Which strategy best reduces the risk of losing your workflow when an AI provider changes its API or deprecates its model?
2. In the described AI OS architecture, what role do “maps” primarily serve?
3. Why is the “tools” layer considered the most replaceable layer?
4. What does MIMD focus on within the system?
5. A vault/idea-verse map is most useful for helping AI do which of the following?
6. How do “skills” differ conceptually from tool-specific configurations?
7. Which scenario best illustrates why the map layer matters when working with large note collections?
8. What is a practical advantage of keeping notes as plain text files in folders rather than relying on a single app format?
9. Which approach best supports the system’s goal of being future-proof against AI paradigm shifts?
10. What is an example of a good practice for privacy and managing AI access?
Fill in the Blank
1. The described architecture organizes the AI OS into three layers: (1) the ideaverse, (2) _____, and (3) tools.
2. A skill is stored as a _____ file (markdown) that teaches AI a repeatable process.
3. MIMD stands for the map of your portable identity—answering the question “_____?”
4. The vault map functions as a manual that helps AI navigate and _____ within the ideaverse.
5. To reduce workflow risk, the system emphasizes “file over _____” so you’re not locked into a specific AI provider.
Matching Exercise
Match each item in the left column to its best description in the right column.
Column A
Column B
Video Reference
Interactive Transcript
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