Transcription
I've been in technology practically since birth. Computers, gadgets, all this software. My native world for over 20 years. It would seem, who else but me should be thrilled by this revolution, ride the wave, enjoy progress, be in the thick of things. But you know what? Even I sometimes get hit so hard that I just want to give up on everything and escape to the village to grow tomatoes. And it's not at all because I've fallen behind or don't understand technology. It's something else entirely. Every day, bam, and something new appears. New tools are growing like mushrooms after rain. Every second blogger has suddenly become a guru in neural networks and generously sprinkles secret tips. Everyone suddenly knows how to live correctly, how to work with it, how to spin it, how to make money from it. And this information noise in my head only makes things worse. Seriously, watch this video to the end, because I'll show you a system that has saved me personally over 40 hours a week in the last six months. Here's the paradox of our time. The more you study, the less you do. Does that sound painfully familiar? Yes. I spent a long time gathering information about all existing tools, building my AI projects, testing every new thing, messing up, starting over, and through a lot of trial and error, I understood one simple thing. It's not that artificial intelligence is advanced mathematics. Not at all. The thing is, most people are simply drowning in the information flow. Instead of taking a specific tool and just starting to use it. They read reviews, study tutorials, compare features, doubt their choice. And so, in a vicious cycle, do you recognize yourself? I'm sure you do. That's why today, without fluff, without pompous speeches about a bright, great future, I will give you a simple and clear roadmap. Four concrete stages on how to go from "I don't understand anything about this AI of yours" to "I am confident, I will use it and get measurable results." Write in the comments if the situation with this endless studying of everything instead of simple actions is familiar to you. Let's chat, share your experiences. I think everyone has something interesting.
Stage One. Choose your AI arsenal and don't spread yourself thin. I have an acquaintance, Daniil. He's a smart guy, he really understands neural networks, tests every new tool, records videos, reviews, lives this topic around the clock. You'd think he should have been ahead of the curve long ago. Right? Do you know what's strange? All these years, he has, by and large, remained in the same place. The same Daniil I knew 10 years ago, well, maybe he knows a few more terms, can show off at events. What's the point? The point is that every time a new novelty comes out, he resets the progress and starts all over again. "Oh, a new model is out, I need to retrain urgently." And so it goes in circles, like a hamster on a wheel. Instead of delving into something he has already mastered, he constantly jumps around. And unfortunately, he's not the only one. Most people do exactly the same thing. They chase after every shiny object. "Wow, a new neural network. I must try it." And that's it, concentration is gone. But the problem isn't that there are few tools. On the contrary, there are too many. And most people drown in this abundance of choice. FOMO eats away at the brain from the inside. People are afraid of missing something, afraid to say a firm no. But the truth is, real progress doesn't start when you grab everything, but when you cut out the excess and go deeper. Depth is always better than a kilometer on the surface. Fill the light. I was recently at a marketing conference. Sitting in the smoking area, talking to the owner of a digital agency. He's a sharp guy, has a team of 15 people, serious turnover, and he complains: "Victor, we're drowning in routine: briefs, presentations, reports. 80% of our time goes into this, and there's practically nothing left for creativity and strategy." I showed him a prompt system for automating these processes. A month later, we meet again, and he says: "We now do in a day what used to take us weeks. We've taken on three new major clients because we freed up time for business development." That's how you should think. Subscribe to the channel so you don't miss such cases. Every week I analyze real stories of business transformation through AI. So, before diving into neural networks, ask yourself one simple question. What specifically in my life really needs automation? You don't need to force it everywhere. Find where to apply it. Take a piece of paper, open your phone's notes, write down all your routine, all the tasks that devour your time, energy, strength without much meaning, where you just procrastinate, where you burn out, where you think: "Why did I do this manually when it can be automated?" Look at this list and ask yourself a second question: where exactly can AI help me here? And only then, and only then, choose a maximum of two tools for this specific area. Not 10, not 5, not 15. No need. "What if it comes in handy?" No need. "What if it's needed later?" Until it's needed, don't bother. It's better to become an expert in two things than a dilettante in twenty. And be sure to write in the comments which tasks take up most of your time. We might even shoot a separate video specifically on your problem. As soon as you narrow your focus, your brain will start working completely differently. Not in "gathering information" mode, but in "doing the work" mode. And that's a completely different level, friends.
Let's say you're a copywriter, or you call clients 100 times a day and correspond by email until late at night. Well, this is definitely not the strength of neural networks. Here, my style, my thoughts, my soul are needed. After all, believe me. Maybe yes, not the first time, yes, you'll have to adapt it to yourself, set it up, tame it, but the point is not just to take one tool at random, but to take two at once and have a fair comparison. Why exactly two? Because each of us has our own internal architecture. One tool might feel uncomfortable, alien, like an ill-fitting suit, while the second will fit perfectly, as if made specifically for you. The principle is simple. Take two options, test them, try them on like in a store, one might pinch, rub somewhere, the second has an ideal fit, choose what's comfortable, and move on. And moving on means working with the chosen tool for 7 days straight. Seven. One tool, one task, no scattering. Just sit down every day and use it. Don't study theory, don't watch the hundredth YouTube review, but do it with your hands. Adjust it for yourself, understand the logic, make mistakes, get annoyed, rejoice. Yes, there will be frustration. There will definitely be a moment when you say: "Why doesn't it understand what I want from it?" There will be a desire to quit everything, and that's normal, because AI is also trainable, adaptive. It gets smarter with every update. And you become more precise in your requests. Just the other day, I was asked a question in the comments. It's really important. They ask: "Victor, aren't you afraid that in a couple of years AI will become so smart that it will replace everyone?" Why study anything if tomorrow everything will become useless? And you know what I'll answer? It's like asking a driver: "Why learn to drive if self-driving cars will appear someday?" Yes, they will, but until they exist, who will drive? Plato, or maybe someone who sat at home and waited. We are now in a unique window of opportunity and are already powerful enough to radically change our productivity, but not yet autonomous enough to work without humans. This means that those who master it directly now, right now, will gain a huge advantage for at least the next 5-10 years. And we'll see after that. But we certainly won't sit and worry about what might happen someday. By the way, if you're thinking now, "Sounds great, but I don't even know how to register for these neural networks of yours," don't worry, I have a full course. "Neural Networks from A to Z" is a complete course for beginners. We literally go step-by-step, explaining how to register, how to create your first prompt, how to set up automation for your tasks without technical jargon. Only practice. In the first week, students are already saving hours daily and getting significant results. The link is in the description below the video.
Once you're comfortable with a tool, it's time to move on to the level of prompt engineering. That is, to make requests so that something truly valuable comes out. Not just to play around for fun, but to solve a specific business problem. Recently, a friend showed me how he mastered AI and, with shining eyes, said: "Draw me a cat controlling the universe on a trampoline." And he laughed, "Look how cool I am. How cool it turned out." Well, very productive. Of course, if the goal is just to kill a couple of hours of free time, no problem. But here's an example of real application. We have a project called "Neuro-Shoot." We create unique photoshoots using AI. People send a couple of their regular photos, choose styles, locations, and get a whole gallery as if from a glossy magazine. Without a studio, without makeup artists, without spending on rent, without running around the city. And you know what annoys me about regular photoshoots? Finding a good photographer. And good photographers cost, well, 30-50 thousand for a shoot. Choosing a location, studio rental, plus another 10-15 thousand. Makeup artist, stylist, several hours for preparation, and in the end, a whole day is spent, a lot of money. And the result? Well, a couple of successful shots and hundreds taken. And sometimes all the photos are disliked, but the money is spent. We have a different approach. Send us a couple of your regular photos from life, choose a style, mood, and get many cool professional shots. Any locations, any looks, any lighting. Click the link in the description, mention that you're from Victor, and get a 25% discount on your first photoshoot with us. Give a like if you're also tired of manual work where automation is possible. Let's see how many of us progressive people there are. Many think that to use neural networks so effectively, you need to become some kind of prompt engineer, certified prompt engineer, a qualified specialist with five years of experience. Spoiler: complete nonsense. I'll show you a pure four-step system by which you can yourself generate powerful requests and get decent results, as if you've been doing it your whole life.
Step one. Assign a role. Don't just answer him, but imagine you are such-and-such a specialist. I'm addressing you. Imagine you are an incredibly meticulous art director who is reviewing the work of others, and immediately reorient yourself. He starts looking deeper, cuts out the unnecessary, focuses on nuances that an ordinary user wouldn't even think of.
Step two. Provide context. AI doesn't read minds and doesn't see your screen. If you want it to really help, explain what's happening. I didn't just say: "Make a photo in the style of the sixties." I gave full context: the model's age, her style. What emotions to convey, for what purpose the photoshoot is, what references inspire the client.
Step three. Formulate a clear command. What do you want as output? Clearly, specifically. Help me, do this based on that. For example, create a technical brief for a photoshoot in the style of the French New Wave of the sixties, including five different emotional states, specifying lighting, color palette, and compositional solutions for each frame.
Step four. Specify the format. And here many fail. Format is not just a list; it can be a table, a detailed plan, a technical brief, even code. And now for the secret cheat code. When you get a result you like, ask the final question: "What would the prompt look like that would immediately give me such an ideal result?" And it will generate an improved version of the prompt for you. And now you're learning not just to click randomly, but to think like a person who knows how to speak with a machine in its language. And I publish even more working prompts and cases on my Telegram channel. There, I daily share various tips that don't make it into videos, memes, and I answer questions. And yes, there's a lot of interesting and useful stuff there, so click the link in the description to go.
Stage Three. Build your learning system. Well, now that you know which tools to use and how to work with them, let's talk about a critically important thing: the pace of learning. Because while all these technologies are developing rapidly, you simply must build your own system of continuous growth, otherwise you will quickly fall behind. You'll burn out. And here's where it gets interesting. Schools don't teach children, and if they do, they often punish for using AI rather than encourage it. You know, I understand why most teachers sometimes burn out. "You don't understand, if you allow children to use AI, they won't learn anything." Like, it's a catastrophe, degradation. "Before, we thought with our own heads." But I categorically disagree with such a position. From the moment ChatGPT appeared, I started to understand it thoroughly, not in the future, someday, but immediately as soon as it became available. I tried it, experimented, messed up, integrated it into everyday tasks, and then started passing it on to other friends, my team, people around me, and saw in practice how it works. People start to see more opportunities, think wider, deeper, because, well, seriously, why pretend anymore, does the future exist in AI? It's like saying in the early nineties, "No internet. If you want to learn something, go to the library, look up the catalog, find the right shelf, and breathe in the dust of old books." And then the internet came, and everything changed drastically. Answers started coming to us, not the other way around. The same thing is happening now. This is the next evolutionary leap. And to say that everything must be done manually is like demanding to give up calculators because, well, before, we all calculated on paper. Do you know what I'll tell you about learning? As soon as you stop developing, you start to slowly decline, professionally, no jokes. And I'm not talking about motivational chatter here. This is the harsh reality of our time. Do you want to become truly cool? Forget about "when I have time." "Well, I'll watch something on the weekend." Yeah, you'll watch. You need a clear learning schedule, like brushing your teeth. Every day, without fail. This is what I personally do. And I advise everyone. First, turn your feed into an educational machine. Seriously? We still spend hours on our phones. So let at least our brains be worked out, not dulled. Go to TikTok, type in the search something like "AI in marketing" or "AI for education." Basically, find a couple of videos, go to the comments, and write something so the algorithm kicks in. And it will show you more of this content. In a couple of days, instead of dancing with cats, your feed will have case studies, new prompts, insights from experts. Simply because you slightly reconfigured the input information flow. Second, weekly calls with interns. Learning through live communication is generally fire in terms of effectiveness. What did I do? I started meeting once a week on Zoom with people who are doing something interesting in the field. No, we're not childhood friends, not colleagues. I just write: "Hi, you're creating cool content, want to chat?" Coffee in Zoom. That's it. My favorite question for such meetings: "What do you think will be the next generation of neural networks?" There's a great video, by the way, watch it. Sometimes the answers are so insightful that they just click in your head. It's precisely these conversations that keep you at the forefront of development, not in a catching-up mode. The formula for modern learning is as simple as possible: reconfigure content consumption for development. Find those who are already practicing and growing. Listen to them, ask questions, absorb their experience. And this is the new format of education. The path to true AI literacy. And here's another useful tip. Many miss it: every month or two, give yourself an audit. Go back to the beginning, look at all the tasks you do daily, and honestly answer what you're spending energy on. And ask yourself immediately: "Can AI take this on today?" Today, technologies are changing so rapidly that what couldn't be automated three months ago, can be done easily today. Therefore, such a tech audit is a must for anyone who wants to stay in the game. Plus, be sure to look at industry events, workshops, conferences once a quarter. I understand that time is critically short. I myself barely manage. But if you find events where there's a lot of talk about AI in your field, definitely go there, because there you'll meet people who can become colleagues, mentors, or just guys with whom you can share cool developments. Together with them, you can solve tasks much faster, more effectively, rather than just swinging a shovel alone. Write in the comments, are AI being actively used in your field yet, or is it still the old way? It's interesting to understand in which industries the process is faster. Let's figure out together what's happening in the market.
Stage Four. Become a director, not an executor. And this is the final, most important shift in thinking. Learn to be not just an executor, but a director of processes. How to become a director, not a robot? First, stop being just busy. Many confuse being busy with moving forward. If your day is an endless marathon of small tasks, it's time to stop, think about what can be automated, and in a few years, 90% of routine tasks will be done by AI. So why waste time on them now? Second. Develop taste. Understanding what a truly cool result is. It doesn't matter if it's business, creativity, leadership. Learn better. See what those at the peak are doing. And try to understand the patterns of their success. Honestly, I love social media precisely for this. Yes, yes, you can get stuck in information garbage, but if you approach it wisely, it's a treasure trove of global experience. Subscribe to cool experts, watch quality content, absorb their thinking. To be a great director, you need to be able to explain complex things simply, so that people say: "Ah, now it's all clear." And finally, practice self-analysis. Life without reflection is like a movie without a plot. Seek feedback from your team, family, colleagues. Be ready to honestly admit whether your work schedule has improved, whether you're working more effectively, whether AI is giving you more freedom for important things. This is how you simply move forward not just with AI, but much faster. I understand it, and it might seem like madness. And yes, it really stresses many people out. But honestly, if you take this simple four-stage plan and start following it, you'll be ahead of 99% of people around you. You don't want to be the one who wakes up one day and says: "What happened to horses and carriages? Why is everyone suddenly driving these metal machines?" This is what I've noticed over years of working in technology. Every major innovation creates new opportunities. When Uber appeared, were all drivers former taxi drivers? Yes, of course not. Most had never worked in taxis in their lives. They quickly adapted, switched to the new reality. The truth is that with every technological leap, some professions disappear, but new, more interesting, higher-paying ones appear. This happened during the industrial revolution, and it's happening now. But the key point is: those who were ahead, who saw the opportunities earlier, started selling shovels and pickaxes to those who went to look for gold. This is your chance right now. Subscribe to the channel, turn on notifications. In upcoming videos, I'll show specific monetization schemes and skills. Technologies are developing rapidly.