For those who missed this when it was first published, I am sharing it with you once again.
In recent years, the evolution of generative AI has significantly changed how we work and live.
Amidst this, the skill known as prompt engineering is garnering significant attention.
By simply knowing the basics and tips for giving appropriate instructions to AI, your work efficiency will likely improve dramatically.
Are you using AI “just because”? This article summarizes specific ways to use AI to actually generate results and save time, from a practical business perspective.
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However, “I don’t know how to give instructions to AI” many people are likely struggling with this.
In this article, I will thoroughly explain the basics and tips of prompt engineering that even beginners can put into practice starting today.
I will also share practical usage methods from the perspective of Okada, who has real-world experience in SNS operations, so please use this as a reference.
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What you will learn in this article
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What is prompt engineering? Basic knowledge and importance
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Why is prompt engineering necessary now?
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The three major principles that form the basis of prompt engineering
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Basic structure of prompts that can be used with ChatGPT, Claude, and Google AI
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List of representative prompt engineering techniques
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Okada-style! Practical prompt examples for SNS operation and work efficiency
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Steps to learn and improve your prompt engineering skills
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The evolution of prompts in the latest AI and future predictions
What is Prompt Engineering? Basic Knowledge and Importance
Prompt engineering is the technique of optimizing instructions to obtain the desired output from AI.
As an essential skill for maximizing AI performance, its importance has been increasing rapidly in recent years.
AI is a very intelligent system, but it cannot perfectly grasp human intentions.
Therefore, it is necessary to learn the basics of prompt engineering and grasp the tips for giving precise instructions.
If you provide appropriate instructions, it will support your work just like an excellent assistant.
Also, improving the quality of prompts has the effect of preventing AI hallucinations (generating false information).
Prompt engineering can be said to be an indispensable technology for extracting accurate information.
As explained in the introductory guide for AI beginners, let’s first solidify the basics.
Why is prompt engineering necessary now?
The reason prompt engineering is needed is that the adoption of AI in business is progressing rapidly.
As companies and individuals utilize AI to increase productivity, the skills of the humans giving the instructions are being tested.
The key to unlocking AI performance
As of 2026, AI models such as ChatGPT 5 and Claude 4.7 have achieved phenomenal evolution.
However, no matter how high-performance the AI is, vague instructions will only yield generic answers.
Only by making full use of prompt engineering tips can you bring out the true value of AI.
For example, the results are completely different between an instruction like “write an article” and an instruction that starts with “you are a professional SEO writer.”
Clearly communicating prerequisites and objectives is the secret to producing high-quality output.
For corporate use cases, please also refer to S.Line Inc.’s business utilization as a reference.
Directly linked to operational efficiency and cost reduction
By mastering prompt engineering, you can significantly reduce the time spent on research and writing.
Tasks like data organization, which used to be done manually, can be completed instantly with a single appropriate prompt.
As a result, you will be able to dedicate your time to the creative work you should be focusing on.
In fact, there are many cases where work time has been reduced by more than half simply by refining prompts.
Mastering AI can be considered an essential requirement for business professionals moving forward.
Please also check out examples of business efficiency and business utilization using AI to help expand your practical understanding.
The 3 Major Principles of Prompt Engineering
There are important major principles in prompt engineering that are common regardless of which AI you use.
Simply following these principles will dramatically improve the accuracy of AI responses.
These three principles are the absolute basics of prompt engineering.
In particular, ‘assigning a role’ is extremely important as it determines the direction of the AI’s response.
For more detailed techniques, please also check out List of Prompt Engineering Techniques.
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Basic Prompt Structure for ChatGPT, Claude, and Google AI
When practicing prompt engineering, it is also important to understand the characteristics of each AI model.
Here, we will explain the differences between representative AI tools and the basic structure that can be used across them.
Now that you understand the basics, we will introduce specific tips to further increase AI accuracy.
By combining these techniques, your prompt engineering skills will improve dramatically.
1. Use variables to organize information
Defining variables in your prompt using symbols like ‘#’ or ‘ãã’ makes it easier for the AI to recognize information.
For example, adding headings like “# Target” or “# Objective” will make your instructions clearer.
Because the information is organized, you can significantly reduce the risk of the AI misunderstanding the context.
2. Encourage step-by-step thinking (Chain of Thought)
When solving complex problems, it is effective to add the phrase, “Please think step-by-step.”
Since the AI creates its response while verbalizing its thought process, there will be fewer logical inconsistencies.
This technique is also extremely powerful when having the AI solve mathematical calculations or logic puzzles.
3. Use positive phrasing
Positive instructions like “Please do X” are easier for AI to understand than negative instructions like “Please do not do X.”
For example, instead of saying “Do not use technical jargon,” instruct it to “Explain it in words that even an elementary school student can understand.”
By using positive phrasing, the AI will be more likely to generate specific and constructive responses.
4. Include examples (Few-Shot)
Providing a few examples (samples) of the output you expect from the AI will dramatically increase the accuracy of the response.
By showing a few patterns, such as “Input: Apple -> Output: Red,” the AI learns the pattern.
This is a very effective method for conveying nuances or tones that are difficult to explain in words.
5. Specify the output length and tone concretely
Instead of vague instructions like “Summarize concisely,” specify it concretely, such as “Summarize in bullet points within 300 characters.”
Also, set the atmosphere of the text in detail, such as “friendly tone” or “professional, formal expression.”
This saves you the trouble of making revisions and allows you to get the ideal text on the first try.
6. Have the AI confirm the intent of your question
After giving instructions, ask, “Did you understand the intent of these instructions?”
Another tip is to include a confirmation step by saying, “If you understand, please reply only with ‘Yes’.”
By confirming that the AI’s understanding is correct before executing the actual task, you can prevent failures.
This confirmation process is extremely useful when working on complex projects with AI.
7. Give instructions in English and have it translated into Japanese
Since many AI models are trained on English data, English prompts tend to have higher accuracy.
For complex tasks, a pro tip is to give instructions in English and specify, “Please provide the output in Japanese.”
For the latest trends in AI models, be sure to regularly check the latest AI news and industry trends.
List of Representative Prompt Engineering Techniques
There are various specialized techniques for prompt engineering proposed by researchers.
Here, we introduce the representative techniques you should know as a foundation, compared in a table.
Understanding these techniques and using them appropriately depending on the situation is the secret to prompt engineering.
In particular, CoT (Chain of Thought) is known as a very effective technique even in the latest Google AI.
The Google AI practical application guide also explains advanced prompt examples using CoT.
Also, recently, a technique called “Meta-Prompting,” where you have the AI itself improve the prompt, is attracting attention.
Just by asking the AI, “Rewrite the instructions I entered into a better prompt,” you can complete high-quality instructions.
When you are unsure about creating a prompt, relying on the AI tool itself is a perfectly valid strategy.
Okada-style! Practical Prompt Examples for SNS Management and Business Efficiency
Here, I will introduce examples of prompt engineering that I actually use in my daily work and SNS management.
Since this content is based on real experience, please try incorporating it into your own work.
Prompt for mass-producing Instagram post ideas
In SNS management, you need to constantly come up with new plans and ideas.
I assign the role of a ‘professional SNS marketer’ to the AI and have it delve deep into the pain points of the target audience.
For example, I might say, ‘List 10 concerns that women in their 20s have regarding AI side hustles, and propose a solution for each with a catchy title.’
By using this prompt, you can complete a month’s worth of post ideas in just a few seconds.
The trick to creating viral content is for humans to add emotion and real-life experience to the ideas proposed by the AI.
For those who want to learn more detailed Instagram management know-how, please also refer to Okapi Nikki (Instagram Management).
Prompts to create internal manuals in an instant
At S.Line, we have also introduced AI for verbalizing business workflows and creating manuals.
I feed messy bulleted notes to the AI and instruct it to ‘clean up these procedures for new employees in a Markdown format that allows for visualizing diagrams.’
As a result, manual creation that used to take several hours can now be completed in just about 15 minutes.
The important thing is not to use what the AI outputs as is, but to always have it checked by human eyes.
Prompt engineering is not magic; it is merely a tool to accelerate human work.
For comparing and considering various AI tools, our article on comparing, reviewing, and choosing generative AI tools will be helpful.
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Steps to learn and improve prompt engineering
Once you have learned the basics of prompt engineering, let’s polish your skills through practice.
Here, I will explain specific learning methods to step up from a beginner to an advanced user.
There is no single correct answer in prompt engineering, and the process of trial and error itself is learning.
In particular, thinking about how to improve a prompt that failed once will deepen your understanding of the AI’s thought process.
The basic mechanisms of AI are also explained in detail in our AI Beginner’s Introduction/Basic Guide, so please use it for review.
The Evolution and Future Predictions of Prompts in Modern AI
As of 2026, AI technology is evolving day by day, and the nature of prompt engineering is also changing.
With the latest models like Claude 4.7 and Google AI, it has become possible to understand context deeply with fewer instructions.
Is the theory that prompts are unnecessary true?
As AI becomes smarter, we sometimes hear the opinion that “prompt engineering will become unnecessary in the future.”
Certainly, with technologies like Anthropic MCP, an era where AI autonomously operates tools is approaching.
However, the human role of defining “what to make the AI do” and “what goals to aim for” will never disappear.
In fact, as AI becomes capable of executing advanced tasks, the importance of initial instructions (prompts) will only increase.
Individuals who can set precise goals and define requirements will see their market value rise even further in the future.
If you want to follow the latest AI trends and technological developments, we recommend regularly checking the latest AI news and model release information.
Common Failures and Countermeasures in Prompt Engineering
In the process of practicing prompt engineering, there are failure patterns that many people tend to fall into.
By knowing these pitfalls in advance, you can save wasted time and utilize AI efficiently.
Instructions are too vague and abstract
Abstract prompts like “write a nice piece of text” are typical examples of failure.
Since there is no definition of “nice” for AI, it will only generate generic, harmless text.
The biggest trick to improving accuracy is to specifically verbalize and communicate the target audience, purpose, tone and manner, etc.
Packing multiple complex instructions at once
It is also a mistake to pack multiple tasks into a single prompt, such as creating an article structure, writing, summarizing, and translating.
This causes the AI to become confused, leading to some instructions being ignored or the overall quality declining.
Try to break down complex tasks into smaller ones and give instructions one by one.
For how to use convenient AI tools, please also refer to our comparison and selection guide for generative AI tools.
How to connect prompt engineering to side hustles and work
Prompt engineering skills are not just for improving work efficiency; they are a weapon for creating new sources of income.
It is no exaggeration to say that side hustles and remote work using AI are currently one of the hottest markets.
For example, even for “blog article creation” projects posted on crowdsourcing sites, you can deliver high-quality work in a short time by using AI.
Also, by combining skills in AI-powered image generation and video editing, you will be able to accept high-paying creative projects.
If you want to make social media management a full-fledged job, please also check out the roadmap for social media management.
Prompt engineering is a skill that anyone can learn from scratch, regardless of age or educational background.
First, try practicing the basic tips and get a feel for using AI in your own area of expertise.
For business development using AI, we also explain it in detail in our article on AI business applications and case studies.
Frequently Asked Questions (FAQ) about Prompt Engineering
Finally, we have summarized frequently asked questions about the basics and tips of prompt engineering.
If you are just starting to use AI, please use this to resolve any questions you may have.
Prompt engineering will be the ultimate weapon for surviving in the coming era.
While keeping in mind the basics and tips introduced in this article, please start your dialogue with AI today.
Further practical prompt techniques are also updated regularly in the prompt utilization category.
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