Gemini 3 Deepthink + NoteBookLM is INSANE! 🤯

Google just dropped something crazy. Gemini 3 can now think deeper than any AI before. And Notebook LM got supercharged with it. This changes everything about how you work. No more simple answers. Real research, real outputs, real work done for you. Okay, listen up. Google just released something insane. Gemini 3 deep think is now live. And this isn't just another AI update. This is a complete game changer because for the first time, Gemini doesn't just answer your question. It thinks like actually thinks multiple rounds of reasoning, testing different ideas, exploring possibilities before giving you an answer just like a human expert would. And here's the kicker. They combined it with Notebook LM, which means you can now upload hundreds of documents, PDFs, Word files, Google Sheets, images, and Gemini 3 will analyze everything, build reports, create slide decks, give you structured outputs, not summaries, real deliverables. Let's dive in. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. Julian Goldie reads every comment. So, make sure you comment below. So, first, what is deep think?

Most AI models work like this. You ask a question, they give one answer, fast, simple, but shallow. Deep think is different. When you give it a complex problem, it doesn't rush. It explores multiple pathways. It tests different solutions. It reasons through the problem step by step. Math problems, coding challenges, strategic planning, business analysis, anything that needs deep thought. Deepthink handles it. And it's only available to Google AI Ultra subscribers right now. Here's how you

access it. Open the Gemini app or go to gemini. google. com. Look for the model selector. Choose thinking from the options. Then switch to deep think in the prompt bar. Submit your complex task and wait. Yes, it takes longer than regular AI because it's actually thinking, running deeper, reasoning, testing multiple approaches, but the output is worth it. Let me give you an example. Say you're building a content strategy for the AI profit boardroom. With regular AI, you'd ask for a content plan and you get a basic list, some topics, maybe some keywords. Pretty generic. But with Deep Think, you can ask it to analyze your audience, study your competitors, look at trending topics in AI automation, consider what problems your community actually faces, and build a strategic content calendar that targets each stage of your customer journey. It doesn't just give you topics, it reasons through why each piece of content matters, how they connect, what order makes sense, how to build momentum. That's the difference. Regular AI gives you answers. Deepthink gives you strategy. Now, let's talk

about Notebook LM because this is where things get really powerful. Notebook LM is Google's AI research assistant, and it just got a massive upgrade. They added deep research mode, which means it can now act like an automated researcher. You feed it documents, lots of them, hundreds if you want, and it analyzes everything, finds patterns, builds insights, creates structured reports. But here's what makes it insane. It now runs on Gemini 3, which means it doesn't just summarize your documents, it understands them. It can transform research into executive slide decks, create visuals, build tables, generate full deliverables, all inside the workspace. And the file support is incredible. You can upload PDFs, Google Sheets, Microsoft Word documents, drive files, even images, drop them all into Notebook LM, and let Gemini 3 do the work. Let me show you how this works in practice. Let's say you're building a training program for the AI profit boardroom. You've got research papers on AI automation, case studies from successful businesses, data on what your community struggles with, customer feedback, maybe some industry reports. That's a lot of information. With Notebook LM, you upload all of it, every document, every spreadsheet, every PDF. Then you ask Gemini 3 to analyze it, find the key patterns, identify what training modules would be most valuable, and build a structured curriculum, not just an outline, a full plan with learning objectives, module breakdowns, practical exercises, even slide deck suggestions. Now, if you want to learn how to save time and automate your business with AI tools like Gemini 3 and Notebook LM, you need to join the AI profit boardroom. This is exactly the kind of workflow we teach. how to take powerful AI tools and use them to build real business systems. We show you the processes, the templates, the exact prompts, everything you need to implement this stuff in your business. Not just learn about it, actually use it. Check the link in the description.

All right, back to the features. Let's talk about specific use cases. First, research to reports. Say you're analyzing a market. You gather competitive websites, industry reports, customer reviews. That could be 50 documents. With Notebook LM, you upload everything, ask it to analyze market demand, identify gaps, find opportunities, and it builds you a full market research report, second use case, course creation. You've got expertise in something, maybe AI automation, maybe SEO, but you don't have time to organize everything into a course. Upload your notes, your past content, your client case studies. Let notebook LM structure it. It can create module outlines, suggest lesson topics, even draft scripts for each lesson. For use case, business reporting. You run a business. You've got data everywhere. Sales numbers, customer feedback, marketing results. Instead of manually building reports every month, upload all your data to Notebook LM. Ask it to create an executive summary. It pulls the key metrics, identifies trends, highlights what needs attention, and formats it into slides you can present. Now, let's

talk about the technical side. Gemini 3 is Google's most advanced model. It's built for complex reasoning, multi-step problems, abstract thinking, strategic analysis. And when you combine that with deep think mode, you get the closest thing to human level reasoning we've seen in AI. The way it works is simple. When you ask a complex question, deep think doesn't immediately respond. It runs multiple rounds of internal analysis. It considers different approaches, tests different solutions, evaluates which path makes the most sense, then it gives you the answer. And for Google AI Ultra subscribers, Notebook LM gets even better. You get enhanced capacity, more sources per notebook, higher usage limits, extended output generation, priority access to

new features. Here's what I want you to understand. This update isn't just about smarter AI. Is about changing how you work. Most people use AI for quick tasks, write an email, summarize an article. That's fine, but it's surface level. With Deep Think and Notebook LM, you can automate the deep work, the strategic thinking, the complex analysis. Imagine building a business plan in an afternoon, analyzing hundreds of customer feedback responses in minutes, creating a full training curriculum from scattered notes in an hour. That's what this enables. So, here's what you should do. If you have Google AI Ultra, go try Deep Think right now. Pick a complex problem you've been avoiding, something that needs real thought, feed it to Deepthink, see what happens. Then open notebook LM. Upload some documents related to a project you're working on. Ask Gemini 3 to analyze them. Just experiment. And if you don't have Ultra yet, you need to decide if it's worth it for your business. If you're doing knowledge work, if you're building content, if you're analyzing data, if you're making strategic decisions, then yes, this is worth it. Now, before we wrap up, let's

talk about where this is heading. Google is clearly building towards something bigger. An AI system that doesn't just assist you, it collaborates with you. It thinks with you. It executes with you. The winners will be the ones who learn these systems now, who build workflows around them, who understand how to prompt them, how to feed them the right information, how to get the outputs they need. And if you want the full process, SOPs, and hundreds of AI use cases like this one, join the AI success lab. It's our free AI community. Links in the comments and description. You'll get all the video notes from there, plus access to our community of 40,000 members who are crushing it with AI. And for the AI profit boardroom members, we go even deeper. We build these systems with you step by step. We show you exactly how to automate your business processes, how to save hours every day, how to use AI as your unfair advantage. Check the link below if you want in. Deepthink plus notebook LM isn't just smarter AI, it's an entirely new capability. Try it. Comment what you want it to solve next. Subscribe for more deep AI breakdowns. See you in the next one.