Turning Your LattePanda into a Creator’s Second Brain: AI Learning, Immich, and NotebookLM Workflow

From Learning to Output: Building an AI-Driven Creator Workflow with NotebookLM, Immich, and LattePanda

 

Why NotebookLM + Immich + LattePanda?

 

I first came across this learning process while reading “How to Read a Book” by Fan Deng. 

 

The method is simple but powerful — learn new knowledge, internalize it through thinking, and then output it in your own words. 

The Brain-Friendly Creator Workflow: How Lattepanda, NotebookLM, and Immich Turn Knowledge Into Long-Term Creativity

 

Fan Deng liked to express his understanding visually through mind maps.

 

After reading many books, I realized that this “learn–internalize–output” cycle is a recurring concept among great authors. 

 

Now, in the AI era, as someone whose English is average (even a bit poor), I’m trying to make progress by exploring how brands and creators can get referenced by large language models.

 

 

How AI Tools Enhance My Learning Process

 

My approach begins with finding experts in a field and deeply analyzing how they promote their work.

For example, in the SEO world, I follow Nathan Gotch.

 

Here’s how I learn from his videos step by step:

 

1. Watch the YouTube video once with Chinese subtitles enabled.2. Paste the video link into NotebookLM, and generate a Mind Map.3. Review the map alongside the video to make sure the content matches.4. Regularly revisit the mind maps to reinforce memory.

 

Finally, I download the mind map to my computer and upload it to Immich for image organization and easy access during future content creation.

 

Creating and reviewing mind maps helps reinforce memory traces in the brain. When you forget and relearn, these traces reappear, making your learning curve shorter each time.

 

AI-Powered Knowledge Internalization and Output

LattePanda + NotebookLM + Immich Workflow

 

 

What Is NotebookLM?

 

NotebookLM is an AI-powered note-taking and knowledge organization tool developed by Google. 

 

Its purpose is to help users understand, summarize, and generate insights from diverse materials. Originally available only in the U.S., it now works in most regions and supports connections with Google Docs, PDFs, YouTube videos, and web pages.

 

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English Feature	Description
Notebook Summary	Automatically summarizes key points and conclusions
Key Points	Highlights important ideas
Outline View	Hierarchical structure, convertible to mind maps
Source-based Q&A	Answers questions directly from uploaded materials
Generated Draft	Creates article drafts or scripts based on sources
Export to Google Docs	Exports for formatting and sharing

 

 

What Is Immich?

 

Immich is like a private version of Google Photos. 

 

You can run it on your PC, NAS, or single-board computer such as LattePanda or Raspberry Pi. 

 

It automatically backs up, browses, searches, and shares your photos and videos while keeping all your data under your control.

 

(You can refer to my other article, Building a Family Photo Cloud with LattePanda + Immich, for setup details.)

 

Real Demo: NotebookLM + Immich in Action

 

Let’s take Dan Koe as an example.

 

He’s a leading figure in personal growth, self-monetization, and the creator economy, with a large following on X (Twitter) and YouTube.

 

Example video: “The $1 Million Dollar Morning Routine (It's Stupid But It Works)”

 

 

Step 01 – Use NotebookLM

1. Open NotebookLM → Create New Notebook → Paste the YouTube link

2. The app will automatically generate a video summary.

3. I prefer using the Mind Map view — click the arrow to expand details.

4. To download, manually open each “>” node and export the full map.

The homepage of Notebooklm

 

Content generated after adding videos to Notebooklm

 

Example: 

 

NotebookLM automatically generates structured insights and visual maps from video content.

 

Mind maps generated by Notebooklm

 

Step 02 – Use Immich

 

Next, open Immich and upload the downloaded mind maps into a dedicated album.

Immich uploads the mind map generated by Notebooklm

A small tip: after uploading, large images might show a rendering error — just refresh the page once, and it will display correctly.

 

Once uploaded, Immich allows direct image copying to editors like reddit、X (Twitter) 、facebook without re-uploading — making workflow seamless.

 

 

My Setup: LattePanda Sigma as My Second Computer

 

My main Mac is already 7–8 years old, and after a motherboard replacement, it can no longer handle heavy workloads. 

 

So I chose LattePanda Sigma as my second machine — an x86 mini PC that doubles as both a work computer and a homelab server (for Jellyfin and Immich).

 

It runs AI models efficiently and supports creative workflows. The cover image for this article was generated using JiMeng . 

 

 

Summary

 

By combining NotebookLM, Immich, and LattePanda, I’ve built a personalized AI-enhanced learning and creation system:

 

. Learn from videos and articles efficiently

. Internalize knowledge visually with mind maps

. Store and organize learning assets with Immich

. Use LattePanda as a second computer and homelab base

. Output refined content for SEO and self-media work

 

This workflow makes AI not just a productivity booster, but a true creative partner for learning, thinking, and expression.

 

 

📚 FAQs

 

Q1: Why combine NotebookLM, Immich, and LattePanda instead of just using cloud tools? 

 

A1: This setup provides privacy, offline control, and better integration between AI-assisted learning (NotebookLM), local asset storage (Immich), and reliable computing power (LattePanda).

 

 

Q2: Can NotebookLM generate mind maps automatically? 

 

A2: Yes, NotebookLM’s Outline View can be converted into mind maps, making it easier to visualize and retain knowledge.

 

 

Q3: Is Immich suitable for creators beyond photo storage? 

 

A3: Absolutely. Many creators use Immich as a personal media database for storing visual assets like mind maps, screenshots, and project images.

 

 

Q4: Why use LattePanda Sigma as a second computer? 

 

A4: LattePanda Sigma is an x86 mini PC that supports Windows, Docker, and AI workloads — perfect for creators who need both mobility and processing power.

 

 

Q5: How does this AI workflow improve learning efficiency? 

 

A5: It mimics cognitive reinforcement — by converting content into structured mind maps and revisiting them, your brain builds stronger memory pathways, shortening relearning time.