Most people are still just scratching the surface of what AI can do for their productivity. I was scrolling through YouTube and stumbled upon a video that genuinely made me rethink my own AI workflows. This AI professional shared three techniques that combine different tools in such a clever way, and I had to break them down for you.
The core idea is to stop using AI tools in isolation. The real power comes from creating a chain, where one AI’s output becomes the input for another. The creator demonstrates how to connect tools like Perplexity, NotebookLM, and Gemini to create systems that are way more powerful than the sum of their parts. It’s about moving from simple prompts to building automated processes.
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What blew me away was how this innovator wasn’t just using one model for one task. The person who shared it showcased a multi-tool approach that solves complex problems with surprising ease. Here’s a deeper look at the three methods:
- 📌 Your Personal AI Tutor on Demand This first technique is for anyone who loves learning but hates wading through dozens of articles and tutorials. The creator shows how you can get an AI to become your personal tutor and generate custom video lectures on any topic. The process is brilliant. First, you use Perplexity to act as your research assistant. You ask it to find the top 20-50 online resources for learning a subject, like Python. The prompt shared was: “I like to learn Python. Please give me the top 20 to 50 resources that you can find online that teaches this…Give me the URLs only.” Perplexity quickly returns a clean list of high-quality links. Then, you take this list and head over to Google’s NotebookLM. You paste all the URLs into a new notebook, and this is where the magic happens. NotebookLM ingests and ‘reads’ all of that content in seconds. Once it has synthesized the information, you use its Video Overview feature. With a simple click, it generates a full video lecture, complete with slides and a voiceover, summarizing the key concepts from all those sources. You can even guide it with a prompt to focus the lecture on a specific area you want to learn first. It’s like having a university professor on call, ready to create a custom curriculum for you.
- ✅ From Raw Data to Boardroom-Ready Reports in Minutes The second workflow tackles a common professional headache: turning dense information into a report that looks amazing and is easy to understand. The expert uses the example of a financial analyst asked to analyze a stock. The first step, again, is research in Perplexity. A cool trick the mind behind it shows is using Perplexity’s specialized Finance focus, which zeroes in on SEC filings for incredibly accurate data. You give it a detailed prompt asking for an analysis of a company’s financial health, risks, and more. Perplexity delivers a comprehensive text report. But here’s the upgrade: instead of just presenting that wall of text, you copy it and go to Google Gemini. After enabling the Canvas extension, you paste the report in. Gemini’s Canvas feature immediately offers to transform that text. With one click, you can turn it into a fully designed, interactive webpage or a professional infographic. The results are stunning. We’re talking charts, clean layouts, and great visuals, all generated in about a minute. Imagine walking into a meeting with a slick, data-rich website you ‘built’ in less time than it took to make coffee. This is an awesome hack for anyone who needs to present information persuasively.
- 💡 Build a Truly ‘Expert’ AI Assistant This last technique might be the most powerful. We all use prompts like “Act as an expert copywriter,” but the results can be inconsistent. This talented creator offers a far superior method. Instead of just telling ChatGPT to be an expert, you first use it to build the expertise. You start with a ‘research’ prompt, asking ChatGPT to do a deep dive on a topic. For instance: “Do research on the most compelling copywriting techniques that get people to buy. dive deep into the psychology.” ChatGPT will spend several minutes generating a massive, detailed document on the subject. The creator’s output was 18 pages long. You then take this research, save it as a PDF, and go to ChatGPT’s Projects feature. You create a new project (e.g., “Copywriting Expert”) and upload that PDF as a permanent file. From that moment on, any chat you start within that project will automatically have that deep knowledge as its foundation. The AI isn’t just acting like an expert; it’s trained on a knowledge base you curated. This creates an incredibly consistent and knowledgeable assistant for specialized tasks, without needing to repeat complex instructions ever again.
This approach to stacking AI tools is a huge leap in productivity. I definitely learned a few new things here.
Check out the full video from the original poster to see these amazing workflows in action for yourself!