How to Earn Money with ChatGPT in 2026 Even If You Don't Understand Neural Networks

[00:02] use GPT chat will earn salaries that are on average 50% higher than those who don't. And these are not my words, these are data from TAZ and labor market research. At the same time, only a few people in Russia use neural networks due to blocking, fear of difficulty,

[00:17] registration difficulties, and so on. And while most people think: “Hey, I don’t understand this, it’s not for me.” Those who spent half an hour figuring out how it works are already doing their work

[00:30] five times faster or even mastering a new profession and working remotely from any city or country. In this video, I'll show you how GPT chat works, what it can do, and, most importantly, what options there are for using it to earn a

[00:45] remote income, even if you've never used it before. I will give specific examples for different professions, show real vacancies right before your eyes, and create a project for which companies paid me real [music]

[00:59] popular direction, which, in my opinion, is best to start mastering now. In the meantime, I'm giving away a big Yandex station to anyone who simply writes a comment on this video about why they find the topic interesting. You

[01:14] get the idea. Let's go. The first block, the most important principle, will save you tens of hours. After this, absolutely everything will become clear to you. The principle is this: communicate with GPT chat in the same detail as if you were explaining

[01:30] tasks to a live person. Well, imagine you come to a friend and say: "Help me with my work." He's like, "What exactly?" And you're like, "Well, I want more clients." He's like, "Well, what do you do?"

[01:43] GBT chat doesn't understand what you need to do if you tell it, for example, make me a presentation on such and such a topic, write me a text, it will do something for you, but it will do something abstract and useless. And if you write in detail what you

[01:56] need, why, in what style, the result will surprise you. Because many people treat GPT chat like Google, asking it something and then wondering why it can't do it perfectly the first time. But if you

[02:09] change your mindset and view GPT chat not as something you want it to do perfectly the first time, but as something you'll feed it with more and more information, it will understand your task better and better, and

[02:23] you'll ask it specific questions, like: "Help me create a great task for myself. I need to write a text. What questions do I need to answer to make it easier for you?" Then he will make a list of questions for you

[02:38] , you will answer them, and the result will be clearly better. If you are uncomfortable typing, you can click on the microphone and use your voice to tell what you need. The chat will understand and help you. Let me show you some examples so you can understand

[02:52] how widely this works. Let's say you are a sales manager, and you need to respond to clients every day, write special letters for them, prepare reports for managers, and so on. And you can write in GPT chat and

[03:05] say: "Hi, I'm a sales manager, the company sells put together, for example, a commercial proposal for a client who is building a country house. His budget is 2 million rubles.

[03:18] Write me this proposal so that it is clear, with specific figures. And GPT chat will already do it better for you if you send it a sample proposal as a file , and then give feedback on what was good, what was not, you can

[03:31] directly voice in the audio. The answer will be much stronger and will simplify your work. If you, for example, are a lawyer, you can attach a contract to the chat and say, check it for typical errors, ask what clauses to add to

[03:45] protect interests there, and the chat will check, find weak points, suggest review it all and understand whether he wrote something stupid. Correcting his mistakes will still be much faster than doing it yourself.

[04:00] difficult, but if gradually If you start, it will be easier. And in the video, I'll give instructions on how to make it easier for you to start using them, taking into account so on. It's normal that you're putting it off . But I can help

[04:14] it easy for you, with interesting, unexpected facts that will surprise you. Chati will quickly create both a lesson plan and a program . For mothers on maternity leave, it can

[04:26] suggest where to take a child in Kazan on the weekend, something interesting, something inexpensive, and you will receive a list of places with addresses, recommendations, and so on. For those looking for a job, you can write to the chat and say that you

[04:40] want to find something remote to work from home or abroad, what professions can be mastered, and so on. And CH GPT will give you a list, explaining why each profession is right for you and what exactly you will need to learn. And

[04:54] similarly, if you If you don't know how CHGBT can help you, just write it. Something like, "Hi, I work as a dental administrator. What tasks can you help me solve and simplify?" And he'll offer options

[05:06] you haven't even thought of. Well, for example, writing responses to patient reviews, writing appointment reminders to patients , preparing posts for the clinic's social media. And you can charge extra for this . That is, you

[05:19] for example, has its own website or Telegram channel. You start writing texts with GPT chat , and you get paid an extra 25-30,000 rubles for the work you do with neural networks and do it faster. Oh, well, the company doesn't know, and that's it. And

[05:33] it's profitable for them, because they save time, but you get money, let's take a closer look at how to set tasks for GPT chat to get really great results. Because most people, well, write something like,

[05:47] I don't know, well, with the same texts, like, write me a text about marketing or about dentistry. They get nonsense and People think neural networks are useless. But there's a simple structure that always works and will help you

[06:00] create content, well, get better answers. First, always define a role. Who is your GPT chat? A marketer, an editor with ten years of experience, a financial consultant, or a business co-founder . The role will help the neural network understand

[06:14] which direction to think. It's like if you went to the hospital and said, "I need a doctor." They'll ask you, "Which one?" You'll say, "I need a dentist." Then they'll take you to one. Second, describe the task with context. That is, why do you need

[06:28] the task with context. That is, why do you need it, what do you need to know? There are bad details, on. When I worked as editor-in-chief at Gazprombank, I set tasks for authors in exactly the same way, in detail, with explanations. That is, everything is just as detailed. It's

[06:44] just that this work used to take 10 hours, and now it's 30 minutes, if you know how to use it. And third, add a final phrase at the end: questions as necessary to complete the task as best as possible. If you

[06:58] don't know, What happens? The GPT chat will ask you everything it needs to solve the problem, clarify the audience, formats, and give you a much better answer. But if you don't like it, and this is the fourth, don't

[07:14] write a five-word response: "[ __ ]." Explain what exactly is wrong. It's too formal. Write it simpler, or there aren't enough specific examples with numbers, or the first paragraph is boring. Start with an interesting title. Start with a question. The more precise the

[07:28] feedback, the better the next attempt will be. And here's another thing, a feature few people know about. You can help the GPT chat write a request for itself. For example, you write: "Hi, I need to create an advertising post for a

[07:43] dental clinic. Write yourself the perfect prompt that will lead to results." And it will write a detailed request with the role, context, style requirements, structure. And all you have to do is receive the text and edit it,

[07:56] if you know, well, what to look for to give the neural network feedback. Because the goal of the neural network itself is, well, to give you an answer as quickly as possible, with the least amount of effort. If you know how to edit it to

[08:09] Therefore, the neural network is a great tool for improving your skills. Well, for example, if you're an accountant, you can send a report and say: "Compare this column with this column and draw me, I don't know, a diagram

[08:23] accountant, you wouldn't think, for example, that these columns even need to be linked. Then you can say: "Digitalize this and this for me so that this and that happen ." That is, In fact, for you it's like, well, a calculator, which

[08:36] once appeared and replaced those abacuses with everything simpler. And before that, like Excel once appeared, and everyone started recording data in a spreadsheet. But Excel didn't replace the profession and didn't eliminate the accountant. It's just a tool that

[08:50] can now be used with a neural network. Exactly the same. It speeds up what you already know. But at the same time, if you don't have a financial or economic education, it won't make you an economist. It's simple. By the way, Chat

[09:02] but can also generate images. Right inside the chat, you can write: "Draw me a cover." Let's say it's about choosing windows. I say, it's in a minimalist style: "Light colors," a modern apartment with large windows, and

[09:16] so on. You can even write to it, like, help me write the right request so that you can generate this image for me. And it will do all this there itself in English. You then throw it there in a new chat, and it will create it

[09:31] all great for personal use, of course, but can you use, of course, but can you make money from it? We'll talk about that now.

[09:44] make your work faster. But there's something more interesting. What if I told you that there's one specific skill for working with GPT chat that allows people with no experience, who have never even done this before, to work from any city? We're

[10:00] design, or anything complicated here. We're talking about text content. That is, about texts. Let me explain. Look at the story. Any business needs content. A small coffee shop needs posts on a Telegram channel, a developer needs articles for

[10:15] Telegram channel, a developer needs articles for Yandex Zen or for a website or newsletter, product descriptions, and so on. At an online school, or when I worked as an editor at a bank, we made a script for a video in which a speaker speaks,

[10:28] explains something, a lawyer, for example, a marketer, and so on. A furniture manufacturer needs descriptions, texts for their website or for a marketplace. Even texts on The notifications you receive on your phone are also text

[10:41] written by real people. And this person is called a copywriter. And I know what you're thinking: these are the guys who write on exchanges for pennies. But no, that was about 10 years ago, because now a copywriter who

[10:55] works with businesses directly or through an agency is a completely different story. It's a remote, in-house job with a flexible schedule, decent pay, and the ability to handle several projects simultaneously. The key feature is

[11:09] that with neural networks, mastering this profession is much faster, and the content itself, if you open Telegram channels or company websites, is increasingly in demand. At the same time, if you simply ask

[11:22] GPT chat to write a post for, say, dentistry on the topic of, well, teeth, it will simply produce a template text that will not catch anyone's attention. With clichés, others suddenly offer a personalized approach, a team of professionals, innovative technologies,

[11:35] and so on. These are empty words, behind which there is nothing. But if you know the base and If you understand how to write for a specific audience, how to cut through the noise, and add facts instead of abstractions, you get a completely different result from a neural network

[11:47] . That's exactly why they pay for it . Not for the ability to press the GPT VChat button , but for understanding how to create text that works and brings in leads. a copywriter specifically does and how much it costs. For example, these are posts for

[12:02] Telegram channels. Look, there's a channel about manufacturing country houses. There's a window manufacturer, and here's an insurance company for travelers. Someone runs all of these channels. They come up with topics, write posts, and select images. And

[12:17] the fee for running a single Telegram channel starts from 40,000 to 80,000 rubles per month. And I don't know this from the internet. These are open prices on agency websites. Plus, I run Telegram channels and write articles for Zen for several companies. For example,

[12:32] here's a company manufacturing country houses, here's a window manufacturer, and here's an insurance company for travelers. These are our clients. The second format is articles for Yandex Zen, because over 70 million people visit Zen. This is a huge

[12:45] audience, and brands want to work with this audience. And many people think that working on Zen means some views, pennies, payment per character, but that's a completely different story. There is the Yandexpromo format, where one article for you,

[13:01] Yandexpromo format, where one article for you, as an author, costs from 4 to 10,000 rubles. Here is the channel of the Window Factory company. They produce plastic windows, and you see their articles. What kind of balcony glazing won't ruin the summer, replacement and

[13:14] repair of plastic windows, soundproofing windows, and so on. All these texts were written by a copywriter. If you now think: "Damn, what the hell is this talking about? " The idea is this: brands want to work with an audience. They

[13:28] go to Yandex with an advertising budget and say: "Here you are, 200,000 rubles. Tell us about our new product." For example, AlfaStrakhovanie talks about insurance. Yandex contacts an advertising agency and says, "Write

[13:42] us five articles on this topic." But these articles must have an interesting travel insurance without overpaying, with a good structure so that the article gets read. And at the end, a call to

[13:55] action. For example, leave a request for a selection or get a free policy from AlfaStrakhovanie. So it turns out that Zen only pays for clicks to the end, when a person has already finished reading the article and clicks at the end . Well, the user leaves

[14:10] a request. To get a lot of requests, you need an author who can write this article well . I worked as this author, and you can become this author too. I have a If you're interested, subscribe to the channel. Now I'm speaking briefly in this video so

[14:23] the possibilities of working with neural networks. Because if before such an article would have taken 2 or 3 days to write, now it's all much easier. But there are nuances. For example, pay attention Please note, these articles are written about people, not companies.

[14:38] That is, there are no phrases like, "We are the best window manufacturer with twenty years of experience," and so on. They tell you how to choose windows so you don't overpay. And feel the difference, because the first version is about the company, and the second is about your

[14:50] pay for, because it attracts clients. Not boilerplate words like, "We are leaders with a personalized approach, " but specific, useful content. Well, for example, if we're talking about a developer, then about mortgages, how to

[15:04] get them profitably, how to apply for a donor mortgage, and so on. Look at Tinkoff Bank's example. They also have simple, useful, and clear content. If you go to the website to apply for a credit card, you also see useful text, simple

[15:17] a copywriter. If you receive an SMS from the bank, I also wrote the copywriter. If you want to ask how much an apartment in Moscow costs on Tinkoff Bank's blog, that was also written by a copywriter. And the information is open, 10,000 1,000 rubles per piece of

[15:31] material. I'm not talking about video scripts, like krills, shorsam, or YouTube videos, because each script is written by someone. But the key idea, texts can be created using GPT chat, not by hand, as before, but in 15-30

[15:47] minutes. Moreover, the quality can be even higher, because the neural network doesn't get tired, doesn't imprint, doesn't make mistakes, and knows information on any topic. Let me going to do something that might change your understanding of neural networks. So,

[16:01] look. Let's say we want to write an article for a company that sells windows. Well, the topic is how to choose windows for an apartment in 2026. Before, I would have sat down and started googling what profiles there are, what the differences are, how to choose, and so on. I

[16:14] would have figured it all out myself for two or three hours, and then spent an hour compiling the information into a convenient format. Now I'm doing I do it differently. I go to Yandex and type " windows." I find the channels of a company that sells windows. For example, Veka Windows.

[16:28] I open their articles and select three of them. Then I open the GPT chat and paste the text of those three articles there so the neural network can understand the company's writing style, how they address the reader, what examples they use, how they construct

[16:42] sentences, and so on. And I type a query like this: "Hello." Study the style and structure of these three articles. Pay attention to how the author communicates with the reader, what examples they use, how they construct sentences, and write a new article

[16:56] in exactly the same style on the topic: "How to choose windows for an apartment in 2026?" 3.5-4,000 characters. Use a structure with subheadings, write from the perspective of an expert, but in simple language. Add specific examples and figures. And at the end,

[17:10] make a gentle recommendation to the Oknaveko company. Click send, and in literally 30 seconds, not Rossi will prepare a full-fledged article. Of course, edited, but look what happened. In 2026, the window market

[17:24] has changed. What was considered premium options just 5 years ago has now pay attention to when choosing windows today, so as not to regret the purchase in a few years. You see, this is a normal conflict beginning. Pain.

[17:38] What to pay attention to, so as not to regret the purchase in several years. Then there are subheadings, energy efficiency, smart windows, security, trends, and so on. That is, the neural network produces a good answer, but you can still, like, well, a

[17:51] person sitting there, give it feedback. If you learn this— because there are basic principles that you can master—then you're essentially not so important for you to gain six months of experience to work in this

[18:05] field, but to know the basic rules. Well, for example, the basis of good text is writing in a human-like manner. If you understand this, then you can directly write in the GPT chat: "Write in simple language, without bureaucratic jargon and complex expressions, and the result will immediately

[18:19] improve." Or also specifics and facts. If you use numbers or information, the text will be better. But at the same time, these facts need to be used in the reader's world. For example, the phrase: "There, the energy intensity is 40%." It says nothing.

[18:33] It's a useless fact. And you need to learn to explain them. And pay attention Please note, I don't need to understand windows to choose the right material. I'm not an expert on double- glazed windows or profiles. I just know how to set a task for a neural network and how to

[18:45] evaluate the result. And this can be learned. And here's what's interesting. Many people some special talent or a philological education. But I'll tell you honestly, when I worked as editor-in-chief at Gazprombank, we

[18:59] had writers with a wide variety of backgrounds on our team. Former teachers, managers, baristas, engineers. None of them had journalism degrees. They simply knew the basic principles of good writing and knew how to work with information. And now, with

[19:13] neural networks, the entry barrier has become even lower. But yes, the GPT char does most of the generating work. But you need to understand what good writing is and be able to direct it in the right direction. As an editor, you

[19:26] probably ask yourself: "Okay, but who's going to pay me for this? Where to look for clients? "How will they hire me without experience?" I'll tell you now, but first, experience?" I'll tell you now, but first, something important. This is where

[19:40] fail, because they don't know where to go, what to write, how to I'll give you a specific system and tell you about the mistakes 90% of beginners make. Yes, Charge GPT does most of the generating, but

[19:55] you need to understand what a good text is and the ability to direct it in the right direction. As an editor, the first thing they associate with copywriting is exchanges, they search for text orders, and end up with some freelance

[20:08] text orders, and end up with some freelance jobs for 200 rubles. But this is a dead end. You'll waste time, earn 3,000 rubles there, and build some kind of portfolio vacancies, because real,

[20:21] stable work is elsewhere. Instead of exchanges, there are three reliable channels that actually work. The first is headhunter. Yes, you can search for regular job openings there. Copywriter, content writer, editor, content manager. There are

[20:35] hundreds of vacancies there. Many of them are remote. And the salaries are far from 200 rubles per article. Here's a vacancy for an editor/copywriter starting from 60,000 rubles. Here's a vacancy for a writer for Telegram channels. Here's a copywriter with

[20:47] knowledge of neural networks. And here's the tricky part: regardless of where you work, because copywriting is remote work. For example, here's a company looking for a copywriter with a salary starting from 90,000 rubles. Responsibilities include writing

[21:02] running a Telegram channel, and working with translations. And here, you don't even need to write in a foreign language. You just need to be able to work with foreign content, find ideas, and edit translations via GPT chat. And not Be wary

[21:19] if a job posting states 1-3 years of experience or knowledge of English, and so on. Why do you think companies write this way ? Because if they don't, they'll hire anyone who doesn't know how to work with

[21:31] neural networks and doesn't even know how basic text rules work. But, in theory, companies aren't interested in your experience, but rather whether you can handle the task or not. And to see if you can handle the task, they give you a test task,

[21:46] you complete it, and if you do a great job, even with neural networks, you start working together. And again, if the posting stated "no experience required," sending empty responses like, "Hello, I'm looking for a job, I don't know anything

[22:02] ." But even if you don't have experience, you send them examples of your texts, and you can compile them yourself using GPT chat, even for fake projects. That is, you write about real estate, you have some in your city A

[22:16] company, you went to their website, their Telegram channel, just for fun, and wrote posts for their channel and for their website. No one asked you, but you already have a portfolio. And with this portfolio, you apply, maybe

[22:28] that you've already done some texts for them , look at it and say, "Oh, well, it might be difficult is that you don't have experience yet, so it will be hard for you to assess when the text is

[22:41] really good and when it isn't. For the first year and a half, when I was working with text, without an editor, that is, without someone who would give feedback, I invited, but I didn't understand what was going on and what exactly I needed to improve.

[22:54] Maybe it was my resume, or maybe the cover letter, that is, the text I attached. Maybe I didn't do a good job, but I don't the company doesn't say that they don't I'm satisfied, they just say, "No."

[23:07] not be enough. And this is exactly what I noticed while working with authors at Tinkoff Bank, then when I was editor-in-chief at Gazprombank. There's one step between "I understand how this works and I actually do it, I get paid for it."

[23:22] This is this layer, this practice with feedback, when a real person with experience looks at your text and says, "This is good, this is weak, that's why, how can I improve it?" In a week, you can achieve what you used to spend a month digging

[23:37] wrong. That's why I created a new project. It's a copywriting marathon with neural networks. It's especially for those who want to try this remote profession from scratch. Without experience, in 5 days you'll figure out what a copywriter does,

[23:52] write your first text using a neural network, and receive individual feedback from experienced editors every day, for every homework assignment. The training takes place on Telegram. You receive a text You complete the lesson, and

[24:06] If you have any questions, you can ask the curator or editor, and they will answer you. And at the end, you get a large, detailed lesson on how to find clients, how to put together a resume, and what to write to get your first

[24:19] project. And the best participants will finally get the opportunity to take on a real paid project from my advertising agency. And this isn't a six-month course where you watch the lessons and forget about them; it's 5 days of practice. Every day there's

[24:33] general chat where you can ask any question. The link to the marathon is in the description. only recruiting 30 people so that the curators can give everyone

[24:45] trying it out and understanding what kind of profession you're good at and how much you come on over, we're waiting for you. And let me tell you about a second way to attract clients: look for them in special Telegram channels, for example, "copywriter

[25:00] editor," "remote work," "normal," " work," "content," and so on. People are looking there. Authors for project work. That is, when you need to launch a Telegram channel for several months, write a series of posts, prepare a newsletter, and job openings

[25:14] are posted there every day. But you need to write to the person, respond, tests, and so on. Another non-obvious way to find clients is apartment renovation company or a furniture store, and you see that they have

[25:28] some articles or they have a blog on Zen or a website, and you generate articles in their style , find their contact information, and write to them along the lines of, "Good afternoon, I saw your channel on Zen. I'm a copywriter working with neural networks and have prepared

[25:42] an article for you on a certain topic." Well, for example, if we're talking about a veterinary clinic, something like, "Why do dogs eat grass and why is it dangerous?" If you like it, I'm ready to write for you regularly. Here's a link to the text. You can choose topics

[25:54] that you like and would be interested in exploring. This is You've already written an article, they can take a look. If they really like it, they might start ordering it from you. You can also find vacancies

[26:07] on Telegram or HT Hunter. And if you like a certain company, you can immediately write some text for them and include it directly in the cover this topic for you. Take a look. I thought

[26:20] I want to work with you. Well, and so, of course, you write to everyone. Well, it longer, but you can try writing to at least five different companies on different topics and check what your conversion rate is.

[26:34] then maybe improve your resistance letter, and that's how you'll get everything together resume and cover letter. And here, GPT chat also helps. When you apply for a vacancy on HT Hunter, the cover letter is the first thing

[26:48] the employer sees. And most Unfortunately, or fortunately, people send something like, "Hello, here's my resume," or something more relevant. You can do something even better: write a

[27:02] each vacancy. That is, you write what they indicate there, what their requirements are . They were told they need articles for Zen on dentistry, so that's what you write. I can help with Zen texts on dentistry. Here are examples of

[27:16] for your niche. The cover letter itself can also be written using "Help me write a cover letter for a copywriter vacancy." Here is the text of the vacancy. Don't use

[27:29] clichés like responsible, resilient, and sociable. Write briefly, to the point, and he'll write it, and you'll check it and correct it if anything's wrong." And then you send it. At my advertising agency, we

[27:41] dedicated person responds to job openings, inserts them into the description in the GPT chat, receives the email text, checks it, and sends it. It's a working system. But no competition. That means complex projects, when we work with large

[27:55] so on. And many people now think, "Damn, there must be a lot of competition." How am I even going to develop there? What am I going to do?" Understand, experienced copywriters are already taking on projects. They don't respond to job openings.

[28:11] projects. They don't respond to job openings. without jobs respond to job openings on Telegram or Hathunter. That means either newbies who don't know what they're doing, or you, who are just starting out, but you know the basics, or you can take a marathon, go through the

[28:24] basics, understand what clients value in work, how it all works, and so on. Take full training there, test the profession, understand the different formats, learn how to write texts for different pages, understand how

[28:36] funnels work, how landing pages work—in short, get into the profession and gain a respond to a job opening, you'll be competing with newbies, and during your training, you'll have a real project and reviews. You'll understand how it all

[28:49] works. You'll have a resume from a specialist who's already worked for the other candidates. So, when you respond and do test assignments, yes, everything won't be perfect, but out of ten responses,

[29:04] you'll get two offers, out of five test assignments, you'll get one job offer, and that's normal. But there are more vacancies than people. There are just a lot of people, newbies. And those who really know, are capable,

[29:17] them this is an opportunity to master a stable profession. And you can do it too. And if you want to start something and try it out, you know yourself, the link to the marathon is in the description. Go ahead, get feedback,

[29:30] neural networks, even if you've never done it before. And I'll continue. rules that can make your text better and stand out from other copywriters.

[29:43] First: write as simply as possible. And simpler is the same as how we talk. We don't talk with friends. Having woken up early in the morning, I carried out what I had planned the night before and I drank a cup of coffee. We say, "I didn't get enough sleep and bought coffee before work."

[29:58] It's easier and sounds more correct, without any complex subordinate clauses and so on. That's completely unnecessary here; it only gets in the way. Instead, we provide cleaning services; we write simply: we clean apartments.

[30:12] write simply: we clean apartments. Instead, we create a wide range of IT solutions, we create websites and applications. It sounds simple, but a huge portion of texts on the internet are written in complex, incomprehensible language. That's why companies are willing to

[30:25] pay those who can write clearly and help solve their needed not only for clients, but also for company employees, for instructions, for example, instructions for the sales department, a story about how

[30:38] to correspond with clients, scripts, presentation templates, commercial proposals, and so on. Yes, I repeat, even phone apps, stories— all of this is done by a copywriter. The next rule: don't use abstractions. And

[30:50] neurosecs also forbid this. Abstraction means a high level of professionals, an individual approach, and And so on. The problem with these words is that they mean nothing, and everyone interprets them differently. Here's a real-life

[31:03] example. The website of an apartment renovation company is a huge canvas of text that's hard to read. In their work, employees are focused on maximizing customer satisfaction, since the best advertising is

[31:15] the number of satisfied customers, blah-blah-blah. So, on half a page, you can write much more simply and clearly: We renovate apartments in Moscow. We do everything from the design project to the final cleaning. First, we'll come and measure

[31:27] the space. Then we'll show the drawings, coordinate, agree on an estimate, and purchase materials with a 10% discount. Look at examples of work and customer reviews. You see, this is concrete instead of empty words, facts instead of promises. This is exactly the kind of text people

[31:41] pay for. And what's more interesting is that all these rules can be incorporated into GPT chat. all these rules can be incorporated into GPT chat. Write in simple language, without abstractions. Write about the reader, not the company. Add examples, numbers. And the neural network

[31:54] will take this into account when generating content. But to do this To write, you need to know that it's depending on the format, be it a YouTube script, website text, or a Telegram channel, you need to understand how to approach the neural network so that it produces

[32:08] good material. That's why a copywriter, author, or editor—they're all the neural networks isn't a person who uses a neural network as a tool to do their work faster, better,

[32:21] and more expensively. Billions of people around the world use GPT chat and other neural networks , but in Russia, they're still united because of sanctions, blocking, and inconvenient access. People don't want to waste time figuring out how it works. And

[32:34] this is precisely why it creates a window of opportunity for those who are ready to figure it out. Because companies need content, posts, articles, newsletters, scripts, website and blog articles, and demand is only growing. At the same time, experienced

[32:48] copywriters who work the old-fashioned way write one article in three or four hours, while you, using Neural networks, you can do the same job in half an hour. And while they write one article, you can figure it out, register

[33:00] with the neural network, understand how it all works, and write five. And that's your take on clients to run Telegram channels and write articles for Zen. If previously, 20 scripts a month required a whole team—screenwriters,

[33:14] editors, and my personal time—now one person can complete the same volume in a few days. But I don't limit myself to twenty scripts; I do 60. And use neural networks and create content for different channels. And if you're

[33:27] watching this video now, it means you're potentially interested in this work in general; you're not one of those who just wants to close the door and forget about it and never do anything else. A five-day marathon with neural networks is available at the link in the description for beginners from

[33:39] scratch, who want to try this profession and get feedback without experience, without education, without innate talent. This A marathon is the fastest way to get started in the profession, understanding what it's all about, what they pay for,

[33:51] Go ahead, read the reviews, and sign up while there are still spots available. Now, let's quickly talk about registration. Registering for GPT chat takes just 2 minutes. The free version doesn't require any payment. Just

[34:03] go to the OpenI website, click register, sign in with your Google account, and you're done. You can start using it right now. The free version is enough to get a rough idea of ​​how it works. If you want more,

[34:15] other videos on my channel where I give specific guides on GPT chat. So you sure you'll find this channel useful. Those who mastered neural networks a year or two ago are already building clients and honing their skills. It's easier for them

[34:30] , but harder for you because you're just starting out. But you still have a few years to go before everyone starts using it and the competition heats up. When will this become the market standard? Now you have the opportunity

[34:42] immerse yourself in it, gaining new opportunities regarding how and what other earning options there are. My name is Mark Nikolaev. Thank you for watching. Watch other videos about using neural networks. And I

[34:56] using neural networks. And I bid you farewell. Have a nice evening. Bye-bye.