Everyone talks about AI tools.
Almost nobody talks about how they work together.
That’s the difference between getting overwhelmed and actually building something that prints results while you sleep.
And that’s what I call the AI Power Stack.
Watch the video below:
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Step One: GPT Image 1.5 – Turning Ideas Into Reality
The first part of the AI Power Stack is GPT Image 1.5.
This is where you turn words into visuals that stop the scroll.
I’ve tested this side by side with Google’s Nano Banana.
The difference is night and day.
GPT Image 1.5 generates more realistic lighting, sharper detail, and better text rendering right on the image.
If you’ve ever tried to make YouTube thumbnails or ad banners, you know how painful it can be to get text readable and balanced.
With GPT Image 1.5, you can do that instantly.
Here’s my simple framework for powerful image prompts:
- Clarity: Be specific about what you want — who, what, where, why.
- Contrast: Describe the background and lighting that make the subject pop.
- Context: Is it for an ad, thumbnail, or blog? Tell the AI.
- Perspective: Include camera angles or style (“cinematic poster,” “IMAX frame,” “macro lens”).
- Action: Make the image feel alive — movement, energy, emotion.
When you do this, you get images that look like movie posters — not generic AI stock photos.
You can also edit them in seconds.
Want to brighten the colors? Add realism? Make the model smile? Just ask.
For marketers, this means instant UGC, product shots, or ad creatives — no camera crew required.
Step Two: NotebookLM – The AI Research Brain
Once you have visuals, you need information.
That’s where NotebookLM comes in — Google’s AI research assistant.
It reads your documents, transcripts, and links, then summarizes them like a human researcher who never sleeps.
Most people use NotebookLM to “chat” with PDFs.
They’re missing the real power: context and structure.
Here’s how I use NotebookLM inside the AI Power Stack:
- I upload everything related to a topic — blog posts, client SOPs, transcripts, notes.
- I let NotebookLM analyze and cross-reference them.
- It becomes a private knowledge base I can query at any time.
When I ask, “Summarize my top-performing AI prompts from 2025,” NotebookLM pulls examples, formats them, and gives me data-backed insights.
Then I can export those directly into Gemini to start building something interactive.
That’s the bridge most people miss — moving from research to creation.
Step Three: Gemini – Building Without Code
Google Gemini is the builder in the stack.
It turns what you know into something you can use.
With Gemini, I can import a NotebookLM notebook and then say:
“Build a mini-app that teaches my clients how to use GPT Image 1.5 to design thumbnails.”
Within minutes, Gemini builds a working prototype with text, visuals, buttons, and logic — no code needed.
You can use this to build:
- Landing pages
- Quizzes
- Client dashboards
- Interactive training tools
- Portfolio generators
It’s like having a developer who never complains and never sleeps.
Even if you’ve never coded a day in your life, you can create apps, dashboards, or microsites using NotebookLM data.
That’s how people are replacing expensive SaaS subscriptions and outsourcing work they used to pay hundreds for.
Step Four: Claude – The Writing and Workflow Engine
If GPT Image 1.5 is your artist, and Gemini is your builder, then Claude is your strategist.
Claude by Anthropic writes like a human, edits like an agency pro, and organizes information like an analyst.
I use Claude to automate:
- YouTube script writing
- Blog creation
- Tweet systems
- Email sequences
- SOP documentation
The beauty of Claude inside the AI Power Stack is its long memory.
You can feed it all your NotebookLM research and Gemini outputs, and it ties everything together into one coherent strategy.
For example:
Let’s say I build an app in Gemini that teaches people how to use GPT Image 1.5.
Claude can write the emails, landing page copy, and content scripts that promote it — automatically.
That’s what I mean when I say the AI Power Stack replaces entire teams.
How the Stack Works Together
Here’s what it looks like when you combine them:
- NotebookLM gathers all your research.
- Gemini builds the product, app, or tool from that research.
- GPT Image 1.5 creates the visuals, thumbnails, or ads.
- Claude automates the copywriting and communication.
You’re not using AI as random tools anymore.
You’re building a connected system.
Each part supports the other — like a production line that never stops.
That’s how I produce full campaigns, product mockups, and tutorials without a team or expensive software.
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 GPT Image 1.5, NotebookLM, Gemini, and Claude to automate education, content creation, and client training.
Real Example: From Prompt to Product
Let’s walk through a live use case of the AI Power Stack.
Say I want to build an educational tool for AI marketing.
Step 1: I use GPT Image 1.5 to generate thumbnails, UGC photos, and course graphics.
Step 2: I use NotebookLM to upload my transcripts, case studies, and training notes.
Step 3: I import that notebook into Gemini and tell it:
“Build a course app that teaches beginners how to make money with AI prompts.”
Gemini creates a full layout — modules, lessons, buttons, progress tracking.
Step 4: I give the link to Claude, and it writes the course outline, scripts, and email automation for the launch.
In a single day, I’ve built what used to take a small team weeks to finish.
That’s the power of using all four tools together — a seamless, automated workflow from idea to income.
How to Build Your Own AI Power Stack
Here’s the roadmap I recommend:
- Start with one simple outcome (e.g., build a landing page, create a product mockup, design a YouTube thumbnail).
- Use NotebookLM to gather all your source material.
- Move it into Gemini to prototype and visualize.
- Use GPT Image 1.5 to design the visuals.
- Let Claude write, summarize, and automate the marketing side.
Repeat this once a week for a month.
You’ll start seeing results you can measure — content, leads, and automation built faster than ever.
How I Use It in My Own Business
I use the AI Power Stack daily inside my content agency and communities.
When I create tutorials or short-form videos:
- GPT Image 1.5 makes the thumbnail.
- NotebookLM organizes the video notes.
- Gemini builds interactive versions of my training for the classroom.
- Claude writes the captions, posts, and email follow-ups.
It’s how I can publish new content every single day across multiple platforms without burning out or hiring more staff.
And every workflow improves over time because each AI learns from my previous projects.
FAQs
What is the AI Power Stack?
It’s the combination of GPT Image 1.5, NotebookLM, Gemini, and Claude working together to create, build, and automate.
Why use all four tools together?
Each one covers a different strength — visuals, research, building, and writing. Combined, they form a self-running workflow.
Do I need technical skills to use this?
No. Everything is drag-and-drop, plain English, and prompt-based.
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.
Can this replace my marketing team?
It won’t replace your creativity — but it will replace 80% of the repetitive work that slows you down.
