The AI System Most People Aren’t Building (Gemini + NotebookLM + Gems)

Most people use Gemini like a chat tool.
But when you combine **Gemini + Gems + NotebookLM** intentionally, it stops being a chatbot and becomes a system.

In this video, I show how to design a 3-layer AI workflow where:
- NotebookLM holds stable knowledge
- Gem holds thinking rules
- Gemini handles execution

Using a fictional product example, I walk through how to build a source-of-truth notebook, design a reusable Gem, and run multiple tasks without rebuilding context each time.
This is about reliability, not prompts.

Relevant Video:
🆕 Google AI Ecosystem Explained: How 40+ Google AI Products Connect: https://youtu.be/Uo3RMkuBTRs
3 Ways to Design Gemini Gems: https://youtu.be/cIH-iS0J0b4
10 Practical Gem Ideas for Everyday Work: https://youtu.be/irSKKXp3zx8
Master NotebookLM in 16 Minutes: https://youtu.be/5Tnc6hQDbvE
Gemini Deep Dive (Workspace + Visual features): https://youtu.be/aFG2es9M9VI

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00:00 Hook — From Chatting to Systems
00:39 The Three Thinking Layers
02:07 Two Design Principles
02:44 Set up Projects: NotebookLM & Gem
06: 58 Scenario 1 → Same notebook & gem + simple task
08:07 Scenario 2 → Same notebook & gem + enriched session
11:05 Scenario 3 →Two notebooks, same gem, expanded system
14:58 Final Thoughts