Most people upload one PDF to NotebookLM, ask a question, and call it a day.
That’s a mistake.
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Here’s the truth.
When you combine NotebookLM, GLM 4.7, and Computer Use Agents, you get something that most people don’t even realize exists — an AI automation Q&A system that builds, researches, and executes for you.
This is how I use it daily.
It’s like having a team of assistants that never forgets, never sleeps, and knows your business better than you do.
The Power of NotebookLM
Most people misunderstand what NotebookLM actually does.
It’s not just a place to store documents — it’s a thinking system.
When I upload sources like my website, customer avatar, SOPs, or training notes, NotebookLM becomes my second brain.
It remembers everything.
So when I ask it, “What are the top problems my clients have before buying?”, it doesn’t guess — it pulls directly from my data.
That’s what makes it different from ChatGPT.
ChatGPT forgets. NotebookLM remembers.
Now imagine this as the foundation for your automation stack.
Your data. Your words. Your business context.
All connected.
Adding GLM 4.7 to the Mix
Now let’s talk about GLM 4.7.
This thing is wild.
It’s open-source, it builds apps, dashboards, and mini-tools — instantly.
I use GLM 4.7 to turn NotebookLM ideas into working automations.
Example?
NotebookLM gives me 30 YouTube ideas based on my community data.
Then I go into GLM 4.7, type:
“Build a content tracker that measures engagement on all these video topics.”
Boom.
It builds it.
No code.
Just results.
That’s how I bridge research to execution.
NotebookLM stores and structures the ideas.
GLM 4.7 brings them to life.
It’s a full loop — from strategy to software.
Computer Use Agents: The Missing Link
Here’s where most people get stuck.
You can have data and code — but who clicks the buttons?
That’s where Computer Use Agents come in.
Google’s new Computer Use Agents act like an intern that lives inside your browser.
They can fill forms, scroll websites, grab leads, or even post content automatically.
I literally use them to:
- Pull competitor data from websites
- Add it into Google Sheets
- Cross-check with my NotebookLM notes
No manual clicks.
No copy-paste.
This turns the NotebookLM + GLM 4.7 combo into a real AI Automation Q&A system.
Because now, when I ask, “How do I find 50 leads for my SEO agency?”, it doesn’t just give me an answer.
It executes.
It runs the steps.
It automates the boring stuff.
That’s the key difference.
The Source Stack System
Here’s the method I use to make all this work together.
I call it the Source Stack System.
Step one — upload your foundation data into NotebookLM: offers, customer avatars, testimonials, and SOPs.
Step two — build research notebooks for your biggest business problems.
For example:
“How do I reduce client churn?”
“How do I improve lead quality?”
Let NotebookLM summarize and create action plans.
Step three — take those plans and give them to GLM 4.7.
Tell it to “build an onboarding tracker,” or “create a client dashboard.”
Finally, connect your Computer Use Agent to run it automatically in your browser.
That’s how you create a real AI system that thinks, builds, and acts.
The 30-Day NotebookLM + GLM 4.7 Plan
Here’s what I recommend if you want to master this fast.
Day 1–3: Build your Foundation Stack in NotebookLM.
Day 4–7: Upload your top-performing content. Let it analyze tone, engagement, and audience.
Day 8–14: Build Research Notebooks around your biggest business bottlenecks.
Day 15–20: Feed those insights into GLM 4.7. Build automations for the daily workflows that drain your time.
Day 21–25: Connect your Computer Use Agents to execute repetitive tasks.
Day 26–30: Combine them all into a full AI Automation Q&A pipeline that runs daily.
That’s the full cycle.
Research → Build → Execute → Repeat.
Turning Knowledge into Automation
If you’ve ever wished your notes could do something, this is it.
NotebookLM doesn’t just store your information — it structures it for GLM 4.7.
GLM 4.7 doesn’t just build apps — it gives Computer Use Agents something to run.
And Computer Use Agents don’t just click — they automate the entire feedback loop.
This is the evolution of how entrepreneurs use AI.
Not just prompts.
Not just chatbots.
Actual workflows that act on your behalf.
If you’ve ever used ChatGPT and thought, “Why can’t it just do the task?” — this is your answer.
Real-World Examples
Let’s say you run an SEO agency like me.
You upload your client SOPs, email templates, and competitor reports to NotebookLM.
Then you ask: “What steps could we automate to reduce churn?”
NotebookLM summarizes patterns and gives you ideas.
You paste those ideas into GLM 4.7, and it builds an onboarding tool in minutes.
Next, your Computer Use Agent runs that tool for new clients automatically.
That’s your business, running 24/7 without manual labor.
Now multiply that across 10 systems.
You start freeing up hours every day.
That’s not theory.
That’s my real workflow.
Inside the AI Success Lab
If you want the templates and AI workflows, check out Julian Goldie’s FREE AI Success Lab Community here: https://aisuccesslabjuliangoldie.com/
Inside, you’ll see exactly how creators are using NotebookLM, Computer Use Agents, and GLM 4.7 to automate education, client onboarding, and content production.
It’s where strategy meets execution.
AI Automation Q&A in Action
Every day inside the AI Profit Boardroom, we run live AI Automation Q&A sessions.
Members ask:
“How do I connect NotebookLM with Gemini?”
“How do I make GLM 4.7 build tools automatically?”
“How do I train Computer Use Agents to pull data safely?”
And we walk through each step, live.
It’s not theory — it’s practice.
Because AI only compounds when you implement.
One question can unlock 10 hours of automation.
That’s why the top 1% use this stack.
They don’t chase shiny tools.
They master one system deeply.
Why This Works
NotebookLM gives you memory.
GLM 4.7 gives you execution.
Computer Use Agents give you automation.
And your AI Automation Q&A workflow ties it all together.
That’s the full AI leverage loop.
You ask → It builds → It runs → You scale.
That’s the future of work.
And it’s free.
The Real Mindset Shift
Most people think they need to learn to code.
Wrong.
You just need to learn to ask better questions.
AI doesn’t replace creativity — it multiplies it.
The people who win are not the ones who know everything.
They’re the ones who know how to ask the right thing in the right system.
NotebookLM is your brain.
GLM 4.7 is your hands.
Computer Use Agents are your team.
And AI Automation Q&A is your meeting room where everything connects.
That’s how you go from overwhelmed to automated.
FAQs
What is the best way to start with NotebookLM?
Start by uploading your foundational sources — website, offers, and customer avatar. That gives NotebookLM the context to generate useful answers.
Can Computer Use Agents really replace a virtual assistant?
They don’t replace humans entirely — but they do 80% of repetitive tasks faster, cheaper, and more accurately.
How does GLM 4.7 compare to ChatGPT or Claude?
GLM 4.7 builds functional apps and dashboards instantly. It’s open source and highly visual, which makes it perfect for automation.
How can I connect all these tools together?
Use NotebookLM for memory, GLM 4.7 for execution, and Computer Use Agents for action. Combine them inside your AI Automation Q&A workflow.
Where can I get templates to automate this?
You can access full templates and workflows inside the AI Profit Boardroom, plus free guides inside the AI Success Lab.
