Transcription
Right now, files lie on your computer that can work for you, but they are simply gathering dust. You use AI as a chatbot. You ask a question, you get text, but that's the last century. Today, I will show you how to turn your document folder into a full-fledged application, a training simulator for employees, or an analytical center without programmers, without complex settings, simply by combining your memory and Google's intelligence. In this video, we will build a business brain from scratch, live. First, we will send the AI to the internet so that it can gather a database about competitors for us. Then, we will turn it into an interactive training simulator for sales managers. I'll tell you right away that I already had a similar video about LM Notebook and Gemini. And today, we will again analyze the combination of these amazing tools. But today, we will delve deeper into creating an application using this combination. It will be interesting. And before watching, be sure to subscribe to the channel, give this video a like, and write a comment. Everyone, enjoy your breakthrough. Before pressing buttons, let's understand how it works. It's a very simple analogy. For a long time, we had a problem. We had a librarian. This is LM Notebook. He is very smart. You could give him 50 books, and he would remember every word. He never lied. If you asked him about something, he would open the right page and read out the answer. But he was passive. He could only read and answer. He couldn't create anything. On the other hand, we had an engineer. This is Gemini. He can write code, draw, come up with ideas, but he had a different problem. He often made up facts. He didn't know the details of your business. He was like a talented worker with amnesia. What did Google do? It sat the librarian and the engineer at the same table. Now you tell the engineer, "Build me a website." The engineer turns to the librarian and asks, "What are our prices? What are the delivery terms? What is our communication style?" The librarian gives him accurate data from your files. And the engineer builds a website that perfectly suits your business, without errors, without fabrications. But for this to work, we need to organize our documents. You can't just dump everything into one pile. Experts call this a source stack system, but we'll call it simpler. Shelves. You need to create four virtual shelves in LM Notebook. The first is the foundation. Here you put the most important things: who you are, your mission, your prices, a description of your services, and very importantly, the brand voice, that is, how you communicate, strictly and friendly. The second shelf is reconnaissance. Here we will store everything we learn about the outside world: competitor reports, market trends, articles. The third shelf is projects. This is a folder for current work. Notes from quick meetings, drafts, ideas. Shelf four is results. Here you put what has already worked. The best email that brought sales, the best video script. This is necessary for the AI to learn from your victories. If you arrange your files on these shelves, your business brain will become brilliant. Enough theory, let's do it. Let's imagine a real task. Suppose we want to open a coffee shop, but not just any, but one with Brazilian coffee. We know nothing about this market. Our goal is to create a calculator application that will show whether it is profitable, based on real data. Step one – reconnaissance. Before, you would have had to spend a week Googling coffee prices, rental costs, trends for 2026. Now, we use the agent reconnaissance function in Gemini. I write in the chat: "Conduct a deep market research of coffee shops." I am interested in trends, the average cost of a cup of coffee, rental expenses, and staff salaries. Find real figures and statistics. Look what happens. The AI doesn't just give an answer, it starts working. It opens dozens of websites, it reads analyst reports, it filters out advertising and junk. This takes a couple of minutes. And it's ready. Look, it has created a huge 20-page report for us. It has graphs, tables, prices, and most importantly, it's fresh data, not five-year-old stuff. Step two – loading memory. Now we need to save this knowledge. I download this report, go to LM Notebook, create a new notebook, and name it "Coffee Business." I upload this report there. And I also add my file "My Savings," which states how much money I have for the start. That's it, now our librarian has remembered everything. Next, the magic begins. And now, the most interesting part. We return to the engineer in Gemini. I click the plus sign, select the LM Notebook tool, choose the "Coffee Business" notebook, and write the following command. Based on the data from this notebook, create an interactive profit calculator for my future coffee shop. Use the Dynamic View function. I want to see a slider for the number of guests per day. Second, a slider for the price per cup. And third, a graph that shows my net profit per month. Take into account the rental and salary expenses from the report. Let's launch and see. It's not writing me text, it's not writing me code that needs to be inserted somewhere. An application appears right in the chat window. Let's check. I move the guest slider, set it to 100 people per day. The graph immediately adjusts. It shows that I will be at a loss. I raise the price per cup. Oops, the graph goes up. I'm in the black. I can click on the expenses tab, and it will show me a diagram of how much money goes to rent and how much to beans. Where did it get these numbers? From that report it found itself 5 minutes ago. Do you understand what you've done? We went from "I know nothing" to "I have a working financial tool" in 10 minutes. And I didn't write a single line of code. A coffee shop is just an example. Let's see how you can apply this in your real work tomorrow. I've put together three best scenarios for you. This is what's called Software as a Service, when your service turns into a program. Imagine you have a sales department. You've written them scripts on what to say to a client, but beginners still get lost when a client starts arguing or being rude. You spend hours training them personally. We take our scripts, a list of objections, "too expensive," "I'll think about it," and examples of the best calls. We upload all this into LM Notebook. Then we go to Gemini and say, "Create a sales simulator." You play the role of a skeptical client. I am the manager. We communicate in the chat. On the side, create a hint panel where you will display advice from our scripts if I get confused. At the end, give me a rating. How does this look? Your employee opens the link, the AI writes to them, "Hello, I've reviewed your offer. It's too expensive, competitors are cheaper." The employee has to respond. If they write nonsense, the hint panel flashes. Attention! According to the script, you need to ask who exactly they are comparing us to. This is a safe place to train. An employee can make mistakes here so as not to make mistakes with real money. And it works 24/7. Now, imagine you are sent reports. Marketing sends Excel, accounting sends PDF, HR sends Word. To understand what's happening in the business, you need to open 10 files and rack your brain. Now let's do this. You create a notebook "April Reporting" and throw all these files into it, without looking. You give Gemini a command. "Create a strategic dashboard. Make three tabs: Money, People, Problems. Find the main figures in all files and draw graphs." How does this look? You get one web page. On the first tab, a profit graph, on the second, who quit, who was hired. On the third, risks are highlighted in red. For example, marketing spent the budget, but there are few leads. Imagine you are an agency or a freelancer. When a new client comes, you send them an email. Here's a link to the contract, here's a link to the brief, here are our contacts, here's the work plan. The client gets confused, loses links, and constantly bothers you. Now you have all these documents in the database. You ask Gemini, "Create a personalized application for client Ivan." Name it "Welcome to the Project." Make a timeline, a work schedule for a month. Add a "Team" section with our photos and contacts, and an "FAQ" section from our FAQ file. How does this look? You send the client one link, they open it even from their phone and see a beautiful application. It says, "Hi, Ivan." They see the schedule. Stage one – design in progress. They see the photo of your manager and a button "Message on Telegram." It incredibly elevates your status in the client's eyes. You look like a tech company, not just a contractor. Friends, the world has changed. Just yesterday, the coolest guy in the room was the one who knew how to write complex code in Python or Java. Today, that's not so important. AI writes code faster and better. Today, the coolest person is the one who knows how to structure their knowledge. Your experience, your instructions, your understanding of the market. That is now the most valuable. This is your new program code. If you know how to arrange your knowledge on shelves and explain to the machine what to do with it, you can create anything. You can be alone, but work like a huge corporation. You can create services in an evening that used to take years. Don't let your knowledge gather dust in folders. Turn it into tools. Start building your business brain today. Thanks for watching. See you in the future. Ah.