How to ‘Humanize’ ChatGPT AI content [Prompts Included]

I experimented with hundreds of prompts to make ChatGPT sound more human. Most of these so-called humanizing prompts were a total waste of time, but eight of them were absolute game changers and have become part of my permaprompts set. These eight prompts fall under categories like personas, personal experience, fact insertion, perplexity, burstiness, unfluffing, flavor, and audience targeting. When used together, no one will be able to tell your content was generated by AI.

In this article, I’ll show you exactly how to make ChatGPT sound human— not just any human, but whoever you want it to be, whether that’s yourself or your favorite copywriter. Stick around because using these prompts you can start generating human-like content today.

Note: Prompts are written in Italics so you can copy them easily.

Google’s helpful content guidelines emphasize the importance of original information, personal experience, and easy readability—all factors ChatGPT doesn’t excel at out of the box. Unless you provide the right prompts.

To ensure the system works, let’s establish a baseline and evaluate a piece of content generated straight from ChatGPT. I asked ChatGPT to write a thousand-word article titled ‘Beginner’s Guide to Machine Learning.’ Here’s what it produced.

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Write a thousand-word article titled ‘Beginner’s Guide to Machine Learning.’

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In recent years, machine learning has emerged as a transformative technology that is reshaping industries, enhancing business processes, and revolutionizing how we interact with the world. From personalized recommendations on streaming platforms to autonomous vehicles navigating city streets, machine learning is everywhere. If you are new to this field and want to understand what machine learning is, how it works, and how you can get started, this beginner’s guide will provide a comprehensive overview.

Machine learning is a subset of artificial intelligence (AI) that enables systems to learn and improve from experience without being explicitly programmed. In simple terms, it involves training algorithms to recognize patterns in data and make predictions or decisions based on that data. Unlike traditional programming, where a developer writes explicit instructions for the computer to follow, machine learning models automatically identify patterns and insights from data, allowing them to adapt and evolve over time.

“Transformative technology” is a dead giveaway phrase that AI always uses. So is “revolutionizing”, and “comprehensive”. There’s no expertise or emotion in this content. It’s full of fluff. The paragraphs are all the same length. There’s no life to it at all. That’s pretty damn obvious that it’s AI.

Okay, so the testing system works. Let’s move on to the humanizing prompts.

Persona

Let’s start with persona prompts, where you aim for your Persona AI to not just write like a human, but to emulate a specific individual, like yourself. Suppose I wanted to train ChatGPT to write as if it were me or any other writer.

My training prompt:

Here’s an article I’ve written: [Input any article you want]. Analyze my tone, sentence, and paragraph structure, level of detail in explanations, amount of humor, frequency of reader questions, readability level, vocabulary, and the emotional depth I convey in my writing. Provide a 200-word summary of these aspects.

Now to write the content. Use this exact prompt, which took a few hours to perfect.

Prompt:

Based on the writing style analyzed from the provided article, create content titled [Insert your title] with a word count of [insert your word count]. Ensure that the new content strictly follows the author’s writing style, including tone, structure, and approach, as identified in the analysis.

Alright, let’s see how it did.

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Based on the writing style analyzed from the provided article, create content titled AI automation with a word count of 1000. Ensure that the new content strictly follows the author’s writing style, including tone, structure, and approach, as identified in the analysis.

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AI Automation: Revolutionizing Your Workflow

Hey there, fellow innovators! Akhil here, your friendly neighborhood prompt engineer and blogger. Today, we’re diving into a topic that has everyone buzzing: AI automation. As a passionate believer in creating efficient systems for seamless business operations, I can’t wait to share how AI can transform your workflows and help you achieve remarkable results.

In the last post, we explored how AI tools like ChatGPT can enhance your content creation process. In case you missed it, you can check it out here: Gain Topical Authority With this ChatGPT Prompt. But today, let’s explore the broader world of AI automation and how it can revolutionize various aspects of your business.

The Rise of AI Automation: An Introduction

Welcome to the AI Revolution! Automation is no longer a futuristic dream; it’s here, and it’s reshaping how we work, live, and interact. So why is AI automation such a game-changer?

What is AI Automation?

At its core, AI automation leverages advanced technologies to execute tasks and processes that traditionally require human intervention. Imagine having an intelligent assistant that handles repetitive, mundane tasks, freeing you to focus on strategic initiatives and creative endeavors. Sounds incredible, right? Well, it is!

You’ll notice the variation in sentence and paragraph length, as well as the absence of jargon. Mission accomplished. You can use these prompts to train ChatGPT to write like you, your favorite scientist, Elon Musk, or even Spiderman. But there’s one thing it’s missing: personal experience.

Personal experience

It knows your style, but it doesn’t know your stories and opinions that can make this article unique from the other AI trash content out there. I like to do this in two ways. The first method.

Prompt:

ChatGPT, here’s my about page [Insert your about page]. Learn about my experience and stories that qualify me as an author for the content we’ll write. [Any other personal opinion regarding the topic]

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ChatGPT, here’s my about page [Insert your about page]. Learn about my experience and stories that qualify me as an author for the content we’ll write. [Any other personal opinion regarding the topic]

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AI Automation: Unleashing the Future of Efficiency

Hey there! It’s Akhil from Master at AI, where we delve into the fascinating world of Artificial Intelligence and explore how it’s reshaping our daily lives. Today, we’re going to dive into the transformative power of AI automation and how it’s revolutionizing industries and empowering individuals like you to achieve more with less effort.

Why AI Automation Matters

In today’s fast-paced digital landscape, staying ahead of the curve is crucial. AI automation offers a competitive edge by streamlining repetitive tasks, improving decision-making processes, and ultimately freeing up valuable time for creativity and strategic thinking. Whether you’re a business owner, a tech enthusiast, or just someone curious about the future, understanding AI automation is the key to unlocking new opportunities and driving efficiency.

Perplexity

Our next prompt is designed to encourage perplexity.

If you’ve examined AI-generated content enough, you’ll start to detect it from a mile away. I can smell robots. This is because AI often uses the same odd words and phrases repeatedly—words that no ordinary human would use.

Here’s an example:

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“Dive into the world of AI automation and unleash the power of artificial intelligence.”

SO ROBOTIC! 

Here’s a prompt to fix this:

Don’t always use the most natural words. Use the following words fewer than three times on this page. Unique, insure, utmost, Meticulous, meticulously, navigating, and in the realm of. [add more robotic phrases if you want]

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Don’t always use the most natural words. Use the following words fewer than three times on this page. Unique, insure, utmost, Meticulous, meticulously, navigating, and in the realm of. [add more robotic phrases if you want]

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AI automation involves leveraging Artificial Intelligence technologies to automate tasks and processes that were once manual. From simple email responses to complex data analysis, AI automation encompasses a broad spectrum of applications designed to mimic human intelligence and boost productivity. Imagine a world where machines handle the mundane, allowing you to focus on what truly matters—be it brainstorming the next big idea or enjoying quality time with your family.

Look at how well this content turned out. There are no awkward sentences, and the content is more concise. An unexpected side effect is that the content is also more bursty, which I’ll explain shortly. Now, let’s talk about burstiness and how to prompt it.

Burstiness

When writing, humans don’t adhere to a consistent pattern in sentence length or paragraph length. The perplexity prompt helps with this quite a bit, but here’s a specific prompt for burstiness.

Prompt:

Ensure varied paragraph structures. Use diverse sentence lengths while primarily focusing on short, straightforward sentences.

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Ensure varied paragraph structures. Use diverse sentence lengths while primarily focusing on short, straightforward sentences.

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Hey there! It’s Akhil from Master at AI. Today, we’re diving into the world of AI automation. If you’ve ever wondered how Artificial Intelligence is making tasks easier and businesses more efficient, you’re in the right place. AI automation is transforming the way we work and live, bringing us closer to a future where efficiency and innovation go hand in hand.AI automation employs advanced technologies to handle tasks that once needed human intervention. Imagine your emails sorting themselves, data being analyzed at lightning speed, and customer service operating around the clock. That’s AI automation at work. It mimics human intelligence but with more precision and without the need for breaks.

The core of AI automation lies in its ability to streamline repetitive tasks, allowing you to focus on more creative and strategic activities. It’s not just a futuristic concept; it’s a reality changing industries right now.

At the heart of AI automation are several key technologies. Let’s break them down. Machine Learning (ML) is foundational. It lets systems learn from data and improve over time. Think of it as the brain behind AI, spotting patterns and making predictions.

Indeed, our output includes short sentences, long sentences, long paragraphs, and short paragraphs—everything you need. This leans towards human-like, but burstiness isn’t as humanizing as what we’ll cover next.

Fact Insersion

GPT models are trained up until October 2023, so if your content requires facts that have emerged since then, you’re out of luck. Additionally, if you need fact-dense content, you might end up with fluffy material from ChatGPT. Oh, hell no!

Here’s your prompt to fix this.

Fact #1. [state the fact]

Fact #2 [state the fact]

Please use these facts when creating your content.

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Fact #1. The global artificial intelligence (AI) market is projected to reach a staggering $407 billion by 2027

Fact #2 AI could automate 73 million jobs by 2030, according to McKinsey Global Institute.

Please use these facts when creating your content.

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The global artificial intelligence (AI) market is projected to reach a staggering $407 billion by 2027. This rapid growth underscores the significant role AI automation plays in our economy. From business operations to personal tasks, AI is becoming integral to our daily lives.

AI’s influence extends to the job market, with significant implications for employment. According to McKinsey Global Institute, AI could automate up to 73 million jobs by 2030. This figure highlights both the potential and the challenges of AI automation. While AI promises increased efficiency and cost savings, it also necessitates a shift in job roles and skills. Preparing for this transition is crucial, as industries adapt to new technologies and workflows.

And bam, now we have a compelling introduction that hooks the reader with recent and informative data. However, one or two facts alone aren’t enough to create a complete and engaging article.

Unfluffing

You’re ensuring that every word in your content adds real value. Let’s revisit that poorly written content from ChatGPT without any humanizing prompts.

Just look at this introductory paragraph. It’s completely lacking any information and is filled with fluff.

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Let’s fix that.

Do not include any fluff when producing content. Each sentence should provide value to the overall goal of the content piece. Strictly follow this guideline.

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Do not include any fluff when producing content. Each sentence should provide value to the overall goal of the content piece. Strictly follow this guideline.

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Hello, Akhil here from Master at AI. Let’s dive into AI automation and see how it’s reshaping industries and daily tasks.

AI automation uses advanced technologies to handle tasks previously done by humans. It enables systems to perform repetitive tasks with precision. For instance, AI can automate data entry, analyze large datasets, and manage customer interactions without fatigue. This shift allows human workers to focus on more complex and strategic activities.

Key technologies driving AI automation include Machine Learning (ML), Natural Language Processing (NLP), Robotic Process Automation (RPA), and Computer Vision. ML helps systems learn and adapt from data, improving over time. NLP facilitates interactions with AI through natural language, powering chatbots and virtual assistants. RPA manages rule-based tasks efficiently, such as data processing and reporting. Computer Vision interprets visual data, essential for applications like facial recognition and autonomous vehicles.

And just like that, exactly as ChatGPT pointed out, here’s a concise beginner overview to AI automation with no fluff.

Must read: Generating AI blog Posts that google loves! [Prompts included]

Flavor prompt

Humans have fun when they write. Robots don’t. It’s a dead giveaway.

Prompt:

ChatGPT, engagement is the highest priority. Be conversational, empathetic, and occasionally humorous. Use idioms, metaphors, anecdotes, and natural dialogue.

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ChatGPT, engagement is the highest priority. Be conversational, empathetic, and occasionally humorous. Use idioms, metaphors, anecdotes, and natural dialogue.

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To understand AI automation, let’s break down the techy stuff into bite-sized pieces. First up, we’ve got Machine Learning (ML)—the brains of the operation. ML is like the curious student who never stops learning. It sifts through mountains of data, finding patterns and getting smarter with every interaction.

Next, there’s Natural Language Processing (NLP), the smooth-talker of the group. NLP allows AI to understand and respond to human language. It’s why chatbots seem to know what you’re saying, even when you typo your way through a message.

Robotic Process Automation (RPA) is the taskmaster. Imagine having a diligent intern who never forgets a detail and executes tasks with pinpoint precision. That’s RPA handling repetitive, rule-based tasks like a pro.

Finally, there’s Computer Vision, the eagle-eyed observer. This technology allows machines to “see” and interpret visual information, like scanning a picture and instantly telling you what it is. Think facial recognition, self-driving cars, and quality checks in manufacturing. Together, these technologies are like a well-oiled machine, driving the engine of AI automation.

How good is this? 

“Imagine having a diligent intern who never forgets a detail and executes tasks with pinpoint precision”

Great, isn’t it?

Audience Targeting

By default, ChatGPT writes content for—well, honestly, I’m not sure who it’s meant for. But when most humans write, they have a specific audience in mind.

Here’s your prompt to fix that.

My target audience has the following characteristics:

1. [insert demographic information]

2. [insert tone preferences]

3. [insert reading level preference]

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My target audience has the following characteristics:

1. North Americans, teenagers to young adults

2. Semi casual tone

3. Reading level equivalent to a high school student

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To understand AI automation, let’s break down the techy stuff into bite-sized pieces. First up, we’ve got Machine Learning (ML)—the brains of the operation. ML is like the curious student who never stops learning. It sifts through mountains of data, finding patterns and getting smarter with every interaction.

Next, there’s Natural Language Processing (NLP), the smooth-talker of the group. NLP allows AI to understand and respond to human language. It’s why chatbots seem to know what you’re saying, even when you typo your way through a message.

Robotic Process Automation (RPA) is the taskmaster. Imagine having a diligent intern who never forgets a detail and executes tasks with pinpoint precision. That’s RPA handling repetitive, rule-based tasks like a pro.

Finally, there’s Computer Vision, the eagle-eyed observer. This technology allows machines to “see” and interpret visual information, like scanning a picture and instantly telling you what it is. Think facial recognition, self-driving cars, and quality checks in manufacturing. Together, these technologies are like a well-oiled machine, driving the engine of AI automation.

As you can see, it did quite well, especially with tone and reading level. When you combine all these prompts, you end up with content that sounds impressively human—maybe even better than a human.

However, the downside to all this prompting, particularly the manual tasks like gathering dozens of facts and data for your content or inputting details about your target audience for each article, is that it takes time. Plus, it’s subjective. For example, if you’re writing a piece on how to maximize air mile points when traveling, how do you even know which facts are accurate?

Or how do you determine what the target audience wants? The answer is already on page one of Google. Those articles rank there because people like them. By analyzing and dissecting the top-ranking articles on air mile points, you can learn about the best domestic and international airlines, as well as which hotels offer the best reward points.

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