How to become a copywriter who cannot be replaced by a neural network?
In 2023, more and more professions are at risk of extinction due to the development of technology, including neural networks. Copywriters are no exception. What does this mean for those who make money writing lyrics? Is it time to look for a new job? Let’s figure it out.
Let’s start simple: what is a neural network? This is software that can process information and compose answers based on the analysis of large amounts of data from the Internet. The most advanced neural network is now considered GPT-chat, created by OpenAI. She is able to generate texts, answering questions and keeping up the conversation.
In theory, GPT-chat is quite capable of performing the functions of a copywriter: it generates text well on almost any topic, and it also works for free, without breaks and days off. Some pluses. What about in practice?
When a client orders a text from you, he pays not for letters, but for the result: audience loyalty, conversion into a purchase, etc. To create a quality text, you will need not only knowledge of the language and the ability to assemble sentences from words with varying degrees of success. We need the ability to adapt to the needs of the target audience, to present the material in an original way.
What skills make a specialist unique and indispensable? We have been working in the field of creating sci-fi content for more than a year and are ready to share a few secrets.
Quality editing skills
The draft of the text should just be. The text is truly created not at the time of its writing, but before and after. 80% of the work on the text is preparation for writing and editing.
How is text created that the reader trusts? As a rule, in informational texts, everything begins with the collection of materials. This is where fact-checking comes in handy.
Fact-checking is the verification of information in order to find out its reliability, relevance and reliability. And here are 3 rules of fact-checking that will help make the text reliable:
Don’t rely on one resource. Gather at least 3-5 sources of information that can be compared with each other. Do they write the same thing? If different, whose argument looks more convincing? Double-check all resources, even those that are already familiar.
All materials that cause the slightest doubt are no longer a fact, and their use should be abandoned. Or an honest indication of the fact is possible: “there is an opinion that …, but it is debatable, because …”
Check the author. If a person with an education in economics writes about psychology, this is a reason to think. Who is author? What kind of education does he have, can he be potentially biased in the topic?
When the information is checked and the draft is “collected” piece by piece, it’s time for editing.
Step 1. Grammar. Everything is relatively easy here, there are enough services that will automatically check your text, and any language rule can be found on the Internet. Even Word with its built-in check will help. But this is the simplest.
Step 2. Check the logic and consistency of the text. Make sure that each paragraph and sentence is logically related to each other and follows each other in the correct sequence. Thoughts go one after another, there are no “jumps” in the narrative and unfinished thoughts.
Step 3. Remove all unnecessary words and phrases. Often authors repeat or use extra words and phrases that do not carry any information. Most have parasitic words, and this is normal. Remove all such phrases to make the text more clear and concise.
Step 4. Make sure the resulting text is relevant to the purpose and audience. Reread the text from the point of view of the target audience and make sure it matches their interests and needs. It does not contain incomprehensible terms or examples close to these people.
Step 5. Ask another person to read the text. Sometimes the other person may notice errors and inaccuracies that you missed. If this is not possible, there is another way to look at the text with a fresh eye. Set it aside for exactly the time you spent writing it. Did you write the text for 2 hours? Close the document and open it after 2 hours, and you will notice something that you did not pay attention to before.
Editing is a process that takes time and attention. A neural network can generate text, but validate it with great difficulty and little success. Here a person can easily beat her.
Creative writing skills
Creative presentation in the text is the use of non-standard, original and exciting techniques to make the text more interesting and memorable for the reader. This approach allows you to attract attention and keep it throughout the text, as well as make it more effective in achieving the goal.
Here are a few tricks you can take note of:
Metaphors and analogies. They help to explain complex concepts and ideas in a simple and understandable way, making the text more accessible and interesting for the reader. And they are well remembered, so your text will seem useful.
Use of vivid and descriptive adjectives and adverbs. This technique helps to create a vivid and memorable picture in the reader’s head. It also works well for recognition and trust in you as an author.
Personal stories and experiences. This allows you to engage the reader on an emotional level, making the text more lively and interesting. Something, but neural networks have no personal experience.
Interesting headlines. Headings and subheadings should be informative, engaging, and engaging for the reader. If the neural network has no problems with informativeness, then it will not be able to create a funny play on words or work at the level of associations.
It is important to remember that the creative presentation should be relevant to the topic and purpose of the text, as well as the audience for which it is intended. It should not divert attention from the main idea and purpose of the text, but should be a means of strengthening it and keeping the reader’s attention.
Ability to adapt to new
The ability to adapt to change is an important skill that will help you successfully cope with changes in work and life in general. Our world is changing, and this process will only accelerate in the future. Yesterday neural networks appeared, tomorrow there will be something else. A specialist who cannot adapt to the new conditions of the game will not be in demand. No stable orders, no high bills.
We have some tips for maintaining this skill:
Learn new things. Learning new things is one of the best ways to adapt to change. Learn new technologies, ways of working, and other tools that can help you deal with change.
Stay flexible. It is important to be open to change and not be afraid to try new things. If you can quickly change your approach to work, then it will be easier for you to adapt to new conditions.
Be open to feedback. Feedback will help you understand what changes are needed to improve your work. Be open to constructive criticism and use it to improve your performance and adaptability.
Adaptability is a skill, it can be developed. Do not be afraid to make mistakes and try new things, only this will allow you to keep up with the times.
Experience with neural networks
To stay “in the flow” now, you need to master the work with neural networks. It is not difficult at all, and will simplify your work at times. And we will tell you what you need to consider when using the most popular neural network – GPT-chat.
Formulate a clear request: To get the most useful response from GPT-chat, it is important to make your request as specific as possible. Try to use keywords to help GPT-chat better understand your request. Avoid vague phrases such as “something about…”
Train the neural network: GPT-chat is built on machine learning. What does this mean for the average user? If you use GPT-chat for specific tasks consistently, it will better understand your needs and provide more relevant results.
Check answers for accuracy: GPT-chat may not always generate accurate and reliable answers. Therefore, it is important to check the text for factual errors. Use reliable sources of information to check answers (see section on fact-checking).
Despite its effectiveness and convenience, GPT-chat is a tool with its own limitations. For example, he cannot independently conduct research or draw analytical conclusions from information.
In addition, GPT-chat has no personality or moral values of its own and cannot judge what is right or wrong, ethical or unethical. It works only on the basis of the information available to it.
What is GPT-chat good for?
Text generation according to your requirements. GPT-chat can create texts on a wide variety of topics in any style. This can be useful for writing articles, promotional materials, reviews, etc. It is enough to add to the request “the text should be friendly”, “explain in simple language”, etc.
Text editing. GPT-chat can provide suggestions for improving the grammar and style of the text. In English, this function works better than in others.
Creating a text plan for which topic, generating titles on request and other basic creative tasks. Here you will have to work especially carefully on a clear request, but the result can be pleasing. It will not be ideal, but the direction of thought will appear for sure.
Instead of conclusions
Neural networks have changed the writing industry forever. And while someone scolds them, others have already begun to enjoy the benefits.
The advent of advanced neural networks has increased the added value of texts. It is the difference between the cost of a product or service produced and the cost of the resources used to create it. It can manifest itself as an increase in the quality of the product, an improvement in the manufacturing process, an increase in the usability of the product for the consumer, or a reduction in the time required to manufacture the product.
It must be remembered that neural networks like GPT-chat are a calculator. The calculator will not replace the mathematician, but it can speed up his work. A neural network is a useful tool in the hands of a good operator. So maybe it’s time to learn?
