writehuman is the most powerful paraphraser

Elevate AI to Human Perfection

Bypass ai detection with the world's most powerful ai humanizer..

enhanced ai model toggle

Humanize AI text in three easy steps:

Copy ai-generated text, paste into writehuman.ai, click write human to humanize ai text, bypass ai detection with writehuman.

Bypass ZeroGPT AI Detection

Effortlessly Humanize AI Text

Protect your ai privacy with real undetectable ai.

Remove AI detection

Choose the plan that's right for you .

humanize ai with writehuman

Built-in AI Detector for Ultimate Al Bypass

Humanize ai text, built-in free ai detector, create undetectable ai, ai to human text, quality humanizer output, leading anti-ai detector, ai writing that resonates. humanize ai with writehuman..

writehuman customer

Frequently Asked Questions

Recent ai humanizer posts.

People using ai humanizer at work

How To Leverage AI Humanizer Tools for a More Productive Workflow

Author Ivan Jackson Photo

The Ultimate AI to Human Text Converter That Will Take Your Writing to the Next Level

ai writing vs human writing

Is AI Writing Superior? Discover How AI Humanizers Can Improve Your Writing

How it works: mastering the art of undetectable ai writing with writehuman, understanding ai writing detection, bypass ai detection with natural language processing (nlp), humanize ai text to craft content at scale, bypassing ai detectors and humanize ai text, the magic of rewriting and originality, from ai to human: the best ai humanizer., humanize ai and create quality ai writing.

Bypass AI detection with WriteHuman

© 2024 WriteHuman, LLC. All rights reserved.

Agree to the terms of service and privacy policy.

Get the most out of Smodin.io

Ai content detector.

Feel confident your text isn't detectable by AI with our 95% accurate AI Content Detector.

Author (AI Writer)

Let our AI writer write your next essay, article, paragraph, or anything else.

Plagiarism Checker

Feel confident that your text is unique with our plagiarism checker.

Smodin’s AI Content Detection Remover

Smodin’s AI content detection remover uses a sophisticated rewriting technology that intelligently analyzes AI-generated content and restructures it while preserving its original meaning and coherence. We use advanced natural language processing algorithms, that paraphrase and rephrase your AI-generated content, making it more human-like and less recognizable by AI detection systems.

Recommended Usage and Tips for AI Content Detection Remover

Quality Input : Start with well-structured, grammatically correct, and accurate prompts. This ensures that the rewriting process maintains the integrity of your original message.

Review and Edit : While our tool is highly effective, you get the best results when you review the rewritten content for accuracy, tone, and consistency. Make necessary adjustments as you see fit.

Iterative Rewriting : In some cases, it might be beneficial to rewrite the content multiple times to reduce the chances of AI detection further. Experiment with different iterations to find the best version.

Why you should use AI content detection remover?

Smodin’s AI Content Detection Remover provides users with a powerful solution for maintaining the creative essence of AI-generated content while bypassing AI detection software and tools. Our tool expertly restructures and rewrites your content, making it less recognizable as AI-generated while preserving its unique insights and ideas. Moreover, manually rewriting AI-generated content can be a time-consuming and labor-intensive process. This tool streamlines this task, allowing you to focus on other essential aspects of writing, including feeding better prompts, checking for accuracy, finding the right references, etc.

How to Avoid AI Plagiarism Detection

We have the solution to avoid AI detection: the recreate method. In the world of ChatGPT and large language models, AI writing is a must-have tool in your tool belt. However, there are ways to successfully detect AI generated content, and the only way to automatically prevent it is with a model trained on thousands of samples of human written data... and that is exactly what Smodin's recreate method is. Smodin's recreate method eliminates all AI detection methods in a single click, allowing you to efficiently create any content you need. There are situations, however, when text written by AI is too generic to be written by a human; for these situations it is recommended to generate a new text or make more than one attempt to produce a human-sounding text.

Check Text for Plagiarism

After you rewrite your text, you should make sure that the text passes plagiarism detection. Use our multi-lingual plagiarism detection application to quickly check the text for plagiarism!

What is AI Content Detection?

AI content detection is determining if a text is written by AI based on the randomness of the words. AI writing models tend to have a specific way of producing text based on the most frequent word orders. Is your text produced by an AI? Find out below!

Other Supported Languages

© 2024 Smodin LLC

Undetectable AI – Blog

AI Detector, Checker, and Humanizer Rated #1 by Forbes

How to Make AI Writing Undetectable: The 5 Best Ways

how-to-make-ai-writing-undetectable

If you want to learn how to make AI writing undetectable, you’re in the right place. We will show you 5 foolprof methods that will help you bypass AI detection and create human-like content.

If you’ve ever tried using AI to write for you, you know it can sometimes sound a bit off, making it easy to spot that a machine, not a person, did the work.

This recognition can be a real struggle, especially when you want the writing to feel natural, just like a human wrote it.

But don’t worry; there’s good news. I’m here to guide you through the top ways to make AI writing completely undetectable.

With these strategies, you can avoid those awkward phrases that scream “a robot wrote this” and seamlessly blend in with the content crafted by human hands.

Ready to make your AI writing pass as human-created?

Let’s dive into these tips and elevate your content game.

Table of Contents

How Is AI Writing Detected?

Understanding how AI-generated writing is detected can help you refine your content creation strategies and implement technologies that assist in the process.

In order to learn how to avoid AI detection, you must first understand how to create content using AI tools in a strategic way in order to deliver a positive user experience and avoid being flagged by detection tools that are becoming ever more prevalent in the market.

What Mistakes Make Your AI Writing Detectable?

Many mistakes are made when new strategies and technologies emerge.

It’s almost unavoidable at first as people try to quickly implement new tools focusing too much on the possible benefits and skipping the part that’s overlooked and necessary in the beginning: truly understanding the new technology or strategy one wishes to implement from the start.

In order to find success with any business practice, whether it’s something that’s been around for ages like advertising or something new like the implementation of AI-generated content tools, knowing what not to do is far more important than simply learning how to use the tool and executing without truly understanding what you’re doing.

When creating content with AI-generating tools, avoiding the following common mistakes will ensure a better user experience and a much better chance of creating AI text that is undetectable by checker tools and algorithms.

1. Repetition & Redundancy : AI-generating content tools like ChatGPT often tend to repeat phrases or reword the same idea in a robotic and redundant fashion.

Creating content that sounds repetitive disrupts the flow of the content and gives readers an unnatural reading experience, making it more likely they will not engage and much easier for the content itself to be flagged by AI detection tools.

2. Lack of Context or Nuance : AI-content platforms access an extraordinary amount of data, but they might miss certain nuances of the data, such as the cultural context of the information.

A human writer already possesses this kind of ability in ways AI is unable to and can better articulate subject matter that has heart, not just data behind its creation.

3. Inconsistency in Tone or Voice : More often than not, AI-generated content is inconsistent in the overall tone of writing.

This makes the content choppy or incohesive and leads to red flags in the eyes of detection tool algorithms. It also makes the reading unbearable to the reader, so even if it does get past the checkers, it will likely deliver a negative experience to the reader and not engage them in a way that actually benefits you or your business.

4. Over-Complexity : AI content tools often over-complicate sentences by adding too much information or trying to be too elevated in sentence structure rather than being concise and effective. The most common text generators available on the market are good, but they aren’t that good.

5. Generic Responses : AI content ends up being too generic a lot of the time, which comes across as robotic and unengaging.

In order to create content that delivers value, content that provides solutions to pain points and problems, generic content will always lose to in-depth articles that are created to educate and solve problems.

It’s essential to keep these mistakes in mind when executing a content strategy that utilizes AI-content tools in order to create exceptional content and avoid AI detection.

How to Test If Your AI Writing Is Detectable?

Now that you have the mistakes to avoid in mind, you’re ready to create content using AI that will be better than most of the competition.

That’s a great first step. But now you may be wondering how to bypass AI detection tools and algorithms now that you have your articles created and ready to go.

The following three tests will help you ensure that these articles will avoid detection.

1. Peer Reviews : Ask colleagues to review the articles without telling them it’s AI-generated. Any discrepancies or feedback should help you decipher if the writing sounds human or if there are still changes that need to be made in the revision process before publication.

2. AI Detectors : Several online tools can analyze your text to determine if it is AI-generated. Undetectable.ai helps you check the detectability of certain AI detector tools while humanizing the content to provide a much better experience for the reader and a much higher chance of avoiding detection.

3. Self-Analysis : The more often you use AI-content tools and edit the results to provide a more human experience, the more likely you will be able to distinguish what sounds natural and what sounds robotic.

Being aware of these common pitfalls and rookie mistakes while actively testing and revising your content, you will learn how to make AI writing undetectable and avoid detection.

How to Make AI Writing Undetectable

As AI writing tools become more and more advanced, they still occasionally produce articles and texts that are not easily readable or sound robotic in nature.

If your goal is to produce AI-generated content that reads as if it were written by you and not a bot, here’s a step-by-step guide on how to make AI text undetectable so you can avoid AI detection and deliver valuable content to your target audience:

#1 – Use Tools to Make Your AI Text Not Detectable

Utilizing tools is one of the easiest and most efficient ways to make AI text undetectable.

Before you revise your content manually, utilize additional tools designed to humanize AI-produced content in order to provide a better experience to your readers.

Undetectable.ai is one of the best tools you can use for this. It makes your AI writing undetectable and helps humanize your content in ways that pass through the detection tool of several algorithms.

To do that, first, select what type of ‘Readability’ and ‘Purpose’ your writing is trying to convey. Then, input your writing into the text box, such as the introduction paragraphs generated by ChatGPT in the image below.

Next, select the goal you would like the generator to produce from “More Readable,” “Balanced,” or “More Human.” These settings help you avoid AI detection and revise your content in a way that will provide a more natural and engaging experience to the readers you’re hoping to reach.

Next, you can prompt Undetecable.ai to either “Humanize” your content or “Check for AI.”

By selecting “Humanize,” the tool will rewrite your text to sound less robotic and more natural so it passes detection tools and reads like it was actually written by you and not a bot—a win-win on your quest to avoid detection and deliver value to the reader.

Undetectable.ai also assesses the text in order to rank its likelihood of being recognized and flagged by AI detectors.

Once you input your writing into the text box, select the “Check for AI” option and results will populate with predictions of the potential your writing has to be flagged by common AI detectors.

The Undetectable.ai tool also allows you to assess whether or not your content needs to be further edited in order to avoid AI detection and even helps you rewrite the text if necessary.

Now, let’s go to the second tip.

#2 – Change Sentence Syntax

One of the most common signs of AI-generated content is the repetitive nature of the sentence structure. To humanize the content to avoid red flags, avoiding the following three mistakes is essential:

  • Vary Sentence Lengths : Mix the length of sentences throughout the text with long, complex sentences and short, concise ones. Robots are generally very repetitive with their process, humans aren’t.
  • Rearrange Words : Switching the order of words or flipping a sentence can make it sound more natural. Doing this will also throw off detection tools that are programmed to track patterns and habits of the common AI-writing tools.
  • Use Conjunctions : Using conjunctions like “and,” “but,” “so,” and “because” can make sentences sound less formal and help the writing flow more colloquially.

Changing your sentence syntax will make your text more human and undetectable by AI-checking tools.

#3 – Use Different Vocabulary

AI platforms have extensive vocabulary but can sometimes overuse specific terms or phrases. This is already very obvious to AI detectors and readers this early on in the widespread use of the technology, imagine in the future.

To fix this, you need to focus on the following areas when revising AI-generated text:

  • Synonyms : Use synonyms for repeated words. For instance, if the AI uses “fix” multiple times, you could switch it to “rectify” or “change.”
  • Idioms and Phrases : Utilize commonly used idioms or informal phrases. If they don’t fit the flow of the article, avoid using them, as they can throw off the tone.
  • Avoid Jargon : Limit the use of industry jargon unless the writing is aimed toward an audience that will commonly understand it. Replace advanced terminology with simpler terms wherever possible.

#4 – Remove Excessive Commas and Use Shorter Sentences

While not inherently wrong, the overuse of commas can cause sentence flow to read in an unnatural way. This is easily avoidable if you know what to look for. Make sure you:

  • Limit Commas : Avoid using more than two or three commas in a sentence. Rephrase the sentence or split the sentence into multiple sentences to help the readability and make the flow more human.
  • Opt for Simplicity : Don’t include unnecessary information or overly descriptive information. Be concise when possible.

#5 – Ask the AI Itself to Rewrite Your Text

Use the AI platform that generated your content to rewrite the text if it does not sound readable. This won’t solve every problem but it is a great next step to get you more close to and undetectable text. Here’s some tips for it:

  • Set Parameters : The more specific instructions you provide the AI tool, the better. For example, ask it to “Write this from the perspective of an attorney” or “Avoid using commas.”
  • Iterative Writing : Do not prompt AI to write a whole piece of content at once. Separate it into sections or paragraphs. After each section, review and prompt the AI to change parts that need improvement.
  • Feedback Loops : When you spot errors or problematic patterns, provide feedback to the AI. The AI can learn from these mistakes and produce content after the feedback is learned.

That’s how to make AI writing undetectable.

Like any tool, the effectiveness of AI depends on how it’s used. By setting parameters, separating your prompts, and providing feedback, you help improve AI’s overall production quality.

The Benefits of Making Your AI Text Undetectable

Learning how to make AI generated text undetectable offers several advantages to both you and your readers. First, in order for your content to be more easily recognized in search engines and avoid AI detection, it’s essential that you adhere to SEO best practices .

Second, your content will be more appealing when it feels personalized, genuine, and less robotic. Readers are more likely to engage with, share, and act on content that speaks to them personally and creates an actual connection.

Lastly, refining AI text improves its readability and coherence. Adjusting sentence structures, diversifying vocabulary, and avoiding redundancies helps the content flow better and be more easily comprehended.

Making AI content undetectable ensures its quality, effectiveness, and resonance with readers.

The Best Tool to Detect AI Content and Then Make it Undetectable

While all of these tips are helpful when it comes to avoiding AI detection and rewriting your AI-generated content, manually attempting this can be time-consuming and could end up making your content more confusing and your process less efficient.

Undetectable.ai eliminates any room for error and refines your workflow as it knows how to make AI writing undetectable and predicts its likelihood of avoiding red flags by AI detectors.

Undetectable.ai offers three subscription plans to help you optimize your AI usage and make your AI content undetectable.

Using Undetectable.ai greatly enhances your ability to create more balanced content that avoids AI detection and helps improve your readability and overall content success.

Try out the tool now for free and start detecting and humanizing your content.

We’ve explored lots of smart ways on how to make ai generated writing undetectable.

Changing how sentences are built, picking different words, and adjusting punctuation are all clever methods.

But there’s a shortcut: using tools that makes this process go faster.

Undetectable.ai is one of these tools, and it’s a game-changer because it does the hard work for you, making all your writing sound human and natural.

Want to make things easier for yourself? Try Undetectable.ai and watch your ai-written text transform.

Gold Penguin Logo with Text

How to Make AI Writing Undetectable: A Complete Guide

how to make an essay sound less ai generated

By this point in the history books, you've probably realized ChatGPT , Claude, Perplexity, and all the other AI writing & research tools are amazing. Every time I use them I'm mind blown.

Over the last year and a half, we’ve seen a technical revolution similar to when the Internet came out. OpenAI, the company behind the first major revelation, continues to ship groundbreaking products across the AI world and isn't showing any signs of slowing down.

Their most recent updates, GPT-4 and Claude 3 , are some of the most powerful NLP models ever created. They're capable of producing writing with quality even better than human writers/

If this is true, has AI writing reached the point where it’s now completely undetectable and indistinguishable from human writing? Not quite…

The same way AI tools generate writing is actually the exact opposite method of how it’s detected.

AI detection tools like Originality and Content at Scale try to reverse engineer the writing you enter to see how similar it would be to an AI tool like ChatGPT having to rewrite it.

So, what’s the solution?

You have to use words and structure sentences in a way that an AI writing generator wouldn’t use. You can't definitively predict AI text. There's no watermark that gets left behind to prove anything (unlike how plagiarism checkers show you the exact content somebody stole from).

With AI detection, it's just a bunch of words. But for now, AI still writes at a level that can be somewhat predicted, at least if the vocabulary and sentence scrambling aren't too complex.

If you're trying to make your AI writing undetectable, there's a few things you could do to help get around these somewhat faulty detection tools.

How to Make AI Writing Undetectable & Bypass Detection

A few sneaky tools like Undetectable AI make it fairly easy to remove obvious AI-written text from tools like ChatGPT, Claude, Gemini, Perplexity, etc (really any kind of AI writing software).

These undetection tools all combine machine learning algorithms and natural language processing techniques to identify patterns in the text and then get rid of them... aka making it more natural.

While it may be tempting to use AI to breeze through assignments or work tasks, it's important to be mindful of the potential consequences. Please don't do anything unethical or illegal. Only use these tools if it's ethical of you to do so!

Using AI Writing Scrambling Tools

AI has led to tools that hide AI-written text better. They shuffle words, rephrase sentences, and use synonyms. For example, "Exercise improves heart health" becomes "Heart health gets better with regular activity." This keeps the meaning but seems more human. It confuses detection tools by mimicking human writing's variety and style.

Undetectable.ai

The first tool I highly recommend is Undetectable.ai . It helps you change your content to suit various writing styles, such as essays, general writing, marketing material, and more.

To use Undetectable AI, simply paste your text into the tool, and choose the appropriate readability level and tone for your specific writing style.

Once you click the "Humanize" button, the service will work its magic, converting your AI-generated content into text that is not only coherent and engaging but also indistinguishable from human-written material. If you're looking for a more SEO-focused readability approach, you should check out their AI SEO writer .

I took a ChatGPT response about pizza and rephrased it. Check it out:

how to make an essay sound less ai generated

And look how it did when I threw it in Copyleaks .

how to make an essay sound less ai generated

Make sure to reread the content. Sometimes, the rephrasing inserts synonyms and styles that don't actually make sense given the context of the writing, but that's just a trade-off you have to deal with when working with a tool like this.

I'm just saying these tools should always be used as an assistant, not a replacement. But for an automatic tool, Undetectable is AMAZING. It starts at $15/month for 15,000 words. You also get a free trial to test things out before deciding if it's worth it or not

Undetectable AI Pricing March/April 2024

I also can't emphasize enough the need to use this service (and the others below) responsibly and ethically. Don't submit anything that could get you in trouble if you're not allowed to.

Next on the list is.... HideMyAI.

While HideMyAI takes a little bit longer to process text & doesn't come with as much complexity, you're still able to get some amazing undetectable content in a matter of seconds.

how to make an essay sound less ai generated

It works the same but scrambles your text rather differently. Just paste any section of ChatGPT-generated writing into the tool and check it out:

how to make an essay sound less ai generated

New result reads very well. But how does it do when we put it back into the detector? Pretty damn impressive. Not a single trace. Copyleaks also got a "human-generated" score.

how to make an essay sound less ai generated

Tweak Sentence Syntax

Once you've thrown the writing in one of those tools, it's time to do some manual labor.

You just have to modify the sentence syntax. This involves adjusting the arrangement of words and phrases in a sentence, as well as the relationships between them.

This will create subtle variations in the structure of your text, making it harder for AI detection tools to identify patterns that are characteristic of machine-generated content, kind of similar to what QuillBot offers.

Doing this manually is similar to what we spoke about earlier but requires a lot more personal fine tuning (a software won't do this as extensively as the human eye).

Try switching between active/passive voice, changing vocab, etc. Just make it seem realistic! It might seem annoying to do, but if you're getting something done with ChatGPT in a matter of seconds, you could spend a few minutes going through your writing to make sure it looks like you actually wrote it.

You should also be utilizing a diverse range of sentence lengths and structures. In natural human writing, it's common to find a mix of short and long sentences, as well as a blend of simple, compound, and complex structures. Just match it with your own writing style.

You can mimic the rhythm and cadence of human writing to a waaaay larger degree in just a few tweaks. Readability is key!!!

Use Higher Level Vocabulary

Another great technique for making AI-generated content less detectable is to incorporate higher-level vocabulary into your writing. This not only elevates the quality of your content but also helps to obscure the telltale signs that it was produced by an AI.

To use higher-level vocabulary, consider replacing common or overused words with more precise or specialized terms. For instance, instead of using the word "important," you could opt for "crucial," "pivotal," or "indispensable."

Likewise, you can employ technical jargon or industry-specific terminology when discussing a particular subject, which lends credibility and depth to your content. Tools like QuillBot are actually perfect for this, they let you paragraph word by word & sentence by sentence until you're happy with your new paragraph.

QuillBot paraphrased text for AI content

Keep in mind that while using advanced vocabulary can make your writing more human-like, you need to find a balance between sophistication and readability (I'm assuming you'll have real humans read this somewhere, right?!)

Your content should remain accessible and engaging to your target audience, so avoid using obscure words that might confuse or alienate readers. Always keep in mind user intent, it wouldn't be worth over sophisticating your text if you are writing an article for 5th graders just for the sake of bypassing AI detection.

In addition to higher-level vocabulary, you can also make use of synonyms and paraphrasing to add richness to your content. This approach not only helps to mask the AI-generated nature of your text but also improves its overall flow and cohesion.

By diversifying your word choice and experimenting with different ways to express your ideas, you can create a more dynamic and compelling piece of writing that effectively evades detection by AI analysis tools while still naturally getting your point across.

Final Thoughts & Advice

Ever since these writing tools have become so popular, transforming AI-generated content into text that is indistinguishable from human-written material has been a fascinating and increasingly relevant topic.

Throw your writing into a tool like Undetectable or HideMyAI , do some manual editing, and you'll be good in a matter of minutes.

We've just entered a crazy world, and we're only at the beginning of a road. It'll be an interesting few years, for sure. Leave us a comment on your favorite tool and what works best for you!

how to make an essay sound less ai generated

Related Articles

How To Avoid AI Detection As A Writer

The chatgpt hype is real, and people are wondering how to avoid detection by ai software. schools and universities have even attempted to ban students from using the tool for their essays. but there are ways to prevent plagiarism or detection of ai-generated content. seo agencies use detection platforms such as originality.ai to ensure that ..

how to make an essay sound less ai generated

The ChatGPT hype is real , and people are wondering how to avoid detection by AI software. Schools and universities have even attempted to ban students from using the tool for their essays. But there are ways to prevent plagiarism or detection of AI-generated content.

SEO agencies use AI detection platforms such as Originality.ai's AI Detector to ensure that the texts they create don’t get flagged as being written with an AI tool – if they fail to do so, they risk getting penalized, losing all their hard work in vain.

This is where the dilemma comes in. If you use an AI content generator as a substitute for a “real human writer” without further editing or styling, you are at risk of detection.

AI should be used as a tool, not a replacement for a human writer.

You should use the AI-generated content as a starting point and then take the time to refine it so that it reads naturally.

This way, you can have the best of both worlds: a unique piece of content in a fraction of the time that looks written by a human.

In this post, we will look at five best practices to avoid AI detection as a writer. Whether you’re writing a blog post or an essay, these tips will help keep your content safe from detection.

Looking for a Paraphrase Plagiarism Checker?

Whether content is Human Generated or AI-Generated once it has been run through a paraphrasing tool it is undetectable to all AI Detectors and Plagiarism Checkers EXCEPT Originality.AI!

  • Read the complete study on Paraphrase Plagiarism Checking

how to make an essay sound less ai generated

What are AI-Detection Tools?

Simply put, AI content identification systems examine textual elements to identify whether a person or an AI wrote it. The language employed, the syntax and grammar, the degree of complexity, and the general coherence and readability of the text are a few characteristics that these technologies may consider.

By examining the language used and the degree of text complexity, the tool, for instance, may determine whether an AI like ChatGPT or Jasper wrote a text. Text produced by AI could be more formulaic and repetitious than writing created by humans, and it also requires more human language complexity and subtlety .

Additionally, AI-generated text may sometimes contain errors or inconsistencies less likely to occur in the human-written text.

On the other hand, if a text was written by a human, the AI content detection tool may be able to detect this by analyzing various linguistic and stylistic features of the text.

For example, human-written text may be more varied and nuanced than AI-generated text and may also contain more colloquial language and cultural references specific to human experience.

You can read about their accuracy here - https://originality.ai/blog/ai-content-detection-accuracy

The Workaround

Now let’s look at how to avoid AI detection of your content.

Tip #1: Don’t let it write everything

To avoid detection when using ChatGPT, it is recommended to break down content into smaller segments and generate each section separately. This will give the content a more natural feel and reduce the chances of being flagged as machine-generated.

Taking the time to review and edit each segment can further improve the quality of the text, making it less likely for detection tools to spot that an AI system has created it.

Finally, creating sections individually allow you to add nuances and variations typical in human conversation but not usually found in one long piece generated by an AI program.

Tip #2: Avoid repetition

The next tip is to make sure you don’t use any recurrent phrases or structures when talking with ChatGPT.

Artificial intelligence-driven conversation can often be detected due to its reliance on patterns and templates that lead to formulaic language. Such robotic-sounding dialogue can simplify AI detection, so keep your conversations as organic as possible to avoid discovery.

To avoid monotonous or customary language, try to increase your word and sentence structure diversity. The following are samples of repeated or formulaic expressions and methods on how to shun them:

Using the same sentence structure repeatedly:

Example of repetitive language: “I think that [statement]. I also think that [related statement].”

Alternative: Vary the sentence structure by using different connecting words or phrases such as “Furthermore,” “Moreover,” or “In addition,” or rephrase the sentence structure entirely.

Repeating the same words or phrases excessively:

Example of repetitive language: “This is a great product. I really like this product. This product is amazing.”

Alternative: Use synonyms, antonyms, or related words to express the same idea without repeating the same words or phrases.

Overusing cliches or common phrases:

Example of formulaic language: “Actions speak louder than words.”

Alternative: Avoid using cliches or common phrases, and try to express the same idea in your own words.

By avoiding repetitive or formulaic language, you can make your generated text sound more natural and less like it was generated by a machine. This can make it more difficult for AI detection tools to identify it as AI-generated.

Tip #3: Add some personal touch

The third tip for avoiding AI detection when using ChatGPT is incorporating personal anecdotes or experiences into your generated text. This technique aligns with Google’s E-E-A-T principle , which stands for Experience, Expertise, Authority, and Trustworthiness.

The search giant has suggested that content demonstrating expertise, authority, and dependability should have a better chance of appearing higher in search engine results. Including stories or experiences in your content proves your knowledge of the subject and makes it more believable and genuine.

It also makes the text you generate more intriguing and captivating for readers. It can give it a personal touch, making it easier to connect with and remember. Furthermore, these anecdotes or experiences can provide illustrations that back up your primary points or arguments.

Tip #4: Re-write your content

The fourth step to avoiding AI recognition when using ChatGPT is utilizing a tool such as QuillBot to revise the text without changing its fundamental meaning. QuillBot is an Artificial Intelligence-based writing tool that can be used for paraphrasing or reworking written material.

QuillBot can help make AI-generated text sound more natural and less robotic. By rewriting the text, you can reduce the chances of it being identified as computer-generated content.

how to make an essay sound less ai generated

When using QuillBot, enter the generated text into the tool and choose the level of rewriting you want. The tool will then generate a new version of the text that retains the meaning of the original but is phrased differently. You can repeat this process multiple times to create a completely new version.

Tip #5: Check it yourself

The last step in avoiding AI detection when using ChatGPT is to use a reliable AI detection tool like Originality.ai. This advanced algorithm-based system can accurately recognize AI-generated content and plagiarism . By applying this tool, you can be sure that the generated text will not be identified as coming from an artificial intelligence source.

how to make an essay sound less ai generated

To utilize Originality.ai , simply copy and paste the generated text into its platform for analysis. The report given by the system will indicate any areas of plagiarism or machine-produced material that need to be corrected before using it for its intended purpose.

This way, you can guarantee that your content is authentic and not just a copy of something else.

Bottom Line

ChatGPT and other AI-powered content generators can be helpful resources for creating unique content. But, to keep your work from sounding robotic, formulaic, and flagged by an AI-detection software, putting your own spin on things is important.

That means jazzing up your writing with fun anecdotes, avoiding boring and repetitive language, and breaking things down into bite-sized chunks.

Just remember: while AI can be a great tool in your arsenal, nothing beats the creativity and soul that a human writer brings to the table. So, let those creative juices flow and get to writing!

Jonathan Gillham

More from the blog, 22 best ai content detection tools.

Are you tired of spending endless hours writing and editing content for your website? The good news is you can now harness the power of AI to create articles in a fraction of the time. But beware, too much AI-generated content can harm your website’s search engine ranking. That’s where AI Content Detection Tools come.

Compose AI Review - A Free Chrome Extension to Automate Your Writing

If you're looking for a free Chrome extension that works directly with you in Google Docs, helping you generate engaging and high-quality content, Compose AI could be the right choice for you.

how to make an essay sound less ai generated

SEO.AI Review - Get More Ranking Content With Less Work

Elevate your brand's success with SEO.ai, a time-saving solution that combines AI and SEO tools to uncover content gaps and create SEO-optimized content. Boost your search engine rankings effortlessly.

AI Content Detector & Plagiarism Checker for Serious Content Publishers

Improve your content quality by accurately detecting duplicate content and artificially generated text..

AI & Plagiarism Detector for Serious Content Publishers

KNOWLEDGE BASE

© 0000   Originality.ai

Team portal

Try for free

Talk to sales

How to Make AI-Generated Outputs Sound Less AI

Oct 25, 2023

Ever found yourself struggling to make your AI-generated email drafts sound less robotic and more human-like? You're not alone. This is a common hurdle encountered when leveraging AI technologies like OpenAI's GPT-3 for textual outputs. The good news is, we've got you covered. In this article, we'll guide you through effective ways to make your AI-crafted emails sound less machine-like and more human.

AI-generated outputs refer to the textual content produced by artificial intelligence systems such as OpenAI's ChatGPT , Microsoft's Copilot , or MailMaestro. These advanced systems utilize machine learning algorithms to generate high-quality text based on the input provided. Despite their powerful capabilities, they sometimes lack the subtleties of human communication, resulting in outputs that may sound robotic or impersonal.

how to make an essay sound less ai generated

General tips:

Opt for a casual tone.

Make your AI-generated text more conversational by using informal language, contractions, and colloquial expressions. Check out our blog on the importance and impact of choosing the right tone.

Guide your AI

Provide additional prompts to your AI to ensure it produces text that sounds more human-like. For example, you can instruct it to incorporate additional details or expectations the AI could have missed. New to prompt writing? Discover tips on how to write good prompt.

Review and edit

Add a personal touch to your text before you send. This could include a personal anecdote, a joke, or a reference to a shared experience.

Looking for a faster way to draft personalized emails?

MailMaestro is an AI email assistant designed to help you draft high-quality emails quickly and efficiently. By leveraging OpenAI capabilities, MailMaestro streamlines your email drafting and management processes.

One of the standout features of MailMaestro is the Improve selected text function. With this feature, you can simply select a part of your draft that you want to improve. You can instruct the MailMaestro AI to make it longer, make it shorter, turn it into bullet points, or even to make it sound more human.

Ready to transform your email drafting experience? Check out the demo below to see MailMaestro in action!

Example of AI-generated output and how to make it sound more human:

Let's take a look at this AI-generated email:

Dear Recipient,

Following a review of our project files, it has come to my attention that we are due for a meeting to discuss our progress. I propose a virtual meeting next week to go over the details. Please let me know your availability.

[Your Name]

Sounds a bit robotic, doesn't it? It's precise, formal, and gets the point across, but lacks the warmth and personal touch of human communication. So, let's give it a makeover!

Additional prompts to instruct AI

Use conversational tone; Add personal touches; Provide additional AI prompts

Rewritten Text

Hope this email finds you well. I was just rummaging through our project files and realized we need to have a quick catch-up. How about a virtual coffee chat next week? Let me know what works for you.

This redo definitely sounds more casual and personal. It's like an old friend reaching out for a catch-up session over coffee. However, it could still benefit from a touch of humor or a personal anecdote to make it even more engaging.

how to make an essay sound less ai generated

The Second Redo

Incorporate humor; Include a personal anecdote or shared experience

What's brewing? As I was 'spring cleaning' our project files (don't worry, no files were harmed in the process), I realized we need to have a quick catch-up. How about we turn it into a virtual coffee chat next week? It'll be just like old times, minus the coffee shop background noise. Let me know what works for you.

This redo feels more engaging, personal, and human-like. It incorporates humor and a shared experience, making it more relatable. It feels like you're not just setting up a meeting, but also rekindling a rapport with the recipient.

how to make an essay sound less ai generated

Whether it's an email, a blog post, or a social media update, the goal is to resonate with your audience. A robotic tone can create a disconnect, making your message less impactful. By infusing a human touch into your AI-generated outputs, you enhance engagement and relatability. Feel free to apply these tips to humanize the outputs of any AI tool you utilize, be it ChatGPT, MailMaestro, or any other AI-assistant.

Remember, effective email communication is about building relationships, not just exchanging information. And that's where the human touch comes in. By incorporating a casual tone, personalizing the content, and guiding our AI tools effectively, we can make our AI-generated emails sound more human and less robotic. Ready to take your email drafting to the next level? Try MailMaestro today and experience the power of AI.

Press ESC to close

how to make text sound less like ai

how to make text sound less like ai

In today’s world of advanced technology and artificial intelligence, we have become increasingly accustomed to interacting with machines and algorithms that generate text. Whether it’s chatbots, automated customer service replies, or even news articles, it’s not uncommon to come across text that sounds like it was written by a machine. While AI has certainly made great strides in natural language generation, there are still ways to make text sound less artificial and more human. Here are some tips on how to make your text sound less like AI:

1. Use Contractions: One of the most noticeable features of AI-generated text is the lack of contractions. Instead of “I am,” “we are,” or “it is,” use “I’m,” “we’re,” and “it’s” to mimic the conversational flow of natural language.

2. Vary Sentence Structure: AI tends to generate text with a consistent and predictable structure. To make your text sound more human, mix up your sentence lengths and structures. Use short, punchy sentences for emphasis, and longer, descriptive sentences to add variety and flow.

3. Add Personal Touch: Injecting personal anecdotes, experiences, or emotions into your text can help it sound more authentic and relatable. This could be in the form of a personal story, a shared experience, or an emotional appeal that resonates with the reader.

4. Use Colloquial Language: Avoid overly formal or technical language that can make your text sound sterile and artificial. Instead, use colloquial phrases, idioms, and slang to make your writing feel more casual and natural.

5. Consider the Audience: Tailor your language and tone to fit the audience you are addressing. Speaking directly to the reader and using inclusive language can create a sense of connection and engagement.

6. Avoid Overly Complex Vocabulary: While a diverse vocabulary can enhance your writing, using overly complex or obscure words can make your text sound stilted and unnatural. Opt for words that are clear and easily understandable to a wide audience.

7. Inject Humor and Personality: Adding a touch of humor or personality to your writing can make it feel less robotic and more engaging. Use humor, wit, and personality to connect with the reader on a human level.

8. Edit and Revise: Take the time to review and revise your text to ensure that it flows smoothly and sounds natural. Reading your writing out loud can help identify any awkward phrasings or unnatural-sounding passages.

In conclusion, writing in a way that sounds less like AI involves injecting personality, using colloquial language, varying sentence structure, and connecting with the audience on a personal level. By following these tips, you can create text that resonates with readers and feels more conversational and human. With a little effort, you can make your writing stand out in a world filled with automated content.

Related posts:

  • how to make a text less ai detectable
  • how to make ai text less detectable
  • how to make text less ai detectable
  • how to make text less ai detection
  • does my text sound like ai
  • how to make ai text sound human
  • are regular vehicles less luxiorious than ai ones
  • do ai have less health titanfall 2
  • do you earn less xp in overwatch hard ai
  • does ai mean less employment
  • how to make ai less agressive in eu4
  • how to make ai less biased
  • how to make ai less detectable
  • how to make arma 3 ai do less damage
  • how to make arma 3 ai less accurate

Share Article:

I am an AI researcher, specializing in providing AI-related tools, news, and solutions, including OpenAI and ChatGPT.

how to make text shadow in ai

How to make text to image ai.

How to Make AI Writing Sound More Human: Tips & Tricks

how to make an essay sound less ai generated

Advancements in artificial intelligence have paved the way for revolutionary tools in content creation , fundamentally altering the writing landscape. Today's AI writing software harnesses sophisticated algorithms to produce text that can mimic human writing styles across various genres and purposes. To harness the potential of these tools effectively, it's crucial to understand their capabilities and limitations. At its core, AI writing is dependent on natural language processing (NLP) and machine learning (ML), which allow computers to understand, interpret, and generate human language in a way that is both coherent and contextually relevant.

However, despite the progress, AI-generated content can sometimes lack the nuanced touch of a human writer. It's the subtleties of emotive expression, the rhythm of prose, and the idiosyncrasies that come with individual experiences that AI often struggles to replicate. This is where human intervention becomes essential. Writers and editors can refine AI output, infusing it with the human elements that resonate with readers. To make AI writing sound more human , one must blend the efficiency of AI with the creativity and empathy of human insight.

To start leveraging the power of AI in your content strategy, Visit our website to learn more and get started today! Click here. It's time to elevate your content with the best of both worlds: the speed and consistency of AI, and the depth and relatability of human touch.

The Art of Blending AI with Human Creativity

Combining AI and Human Creativity style=

The collaboration between AI and human creativity is akin to a dance between technology and artistry. It's not about allowing AI to take the reins entirely but rather about leveraging its capabilities to enhance and amplify the creative process. Writers can use AI to generate ideas, construct drafts, or overcome writer's block, but the final touch, the soul of the piece, comes from the human touch.

Blending AI with human creativity involves a strategic approach. Writers should start by providing clear prompts and guidelines to the AI, ensuring that the initial output is aligned with the desired tone and style. From there, the human element comes into play—editing for voice, polishing nuances, and adding personal anecdotes or humor that AI cannot authentically create. This human-led refinement process is essential to elevate the content from a mere assembly of words to a narrative that captivates and engages.

It is crucial to remember that AI is a tool, not a replacement. By using AI as a foundation, writers can free up time to focus on those aspects of writing that require a human's unique perspective, such as interpreting complex emotions, understanding cultural subtleties, and crafting arguments that resonate on a deeper level. Thus, the art of blending AI with human creativity is about achieving a harmony that leverages the strengths of both to produce content that is not only efficient but also profoundly human in its appeal.

Techniques to Infuse Personality into AI Text

Infusing personality into AI-generated text is a multifaceted process that involves several key techniques. To ensure that the text resonates with readers as though it were written by a human, it's critical to adopt a style and tone that reflect the intended voice. One effective method is to incorporate idiomatic expressions and colloquialisms, which can make the content more relatable and less robotic. However, these should be used judiciously to maintain professionalism and clarity.

Embracing variability is another technique that adds naturalness to AI text. Rather than using repetitive sentence structures or vocabulary, varying syntax and diction can give the impression of a more dynamic and thoughtful composition. Additionally, implementing rhetorical devices such as metaphors, analogies, and alliterations can bring an artistic flair to the narrative, often lacking in AI writing.

Another dimension is emotional intelligence . AI can be programmed to recognize context and adjust the emotional tone accordingly, whether it's enthusiasm, empathy, or humor. This emotional layering helps in creating a bond with readers, as it mirrors the nuanced communication style of humans. Lastly, personal anecdotes or references to current events can also be weaved into the text to provide a sense of timeliness and personal touch.

By combining these techniques, the goal is to transform sterile AI prose into rich, engaging content that echoes the intricacies of human thought and expression. It's about bridging the gap between the efficiency of AI and the warmth of human interaction to create text that is both informative and delightful to read.

The Role of Context in Humanizing AI Writing

Context in Humanizing AI Writing style=

Understanding and employing context is pivotal in the quest to make AI writing sound more human. Context acts as the compass that guides the AI in choosing not only the right words but also the appropriate tone and style for different situations. When AI is trained to recognize the nuances of context, it can tailor its language to better fit the audience's expectations and the purpose of the text.

For instance, when creating content for a professional audience, an AI with a strong grasp of context will avoid slang and maintain a formal tone. Conversely, in a more casual setting, it might opt for a conversational style, using contractions and colloquial phrases. This level of adaptability is what separates mechanical-sounding text from writing that feels genuinely human.

Moreover, context is key when deciding how to structure information. In a narrative, the AI might adopt a storytelling approach, while in an informative piece, clarity and conciseness become the priorities. Contextual understanding also enables the AI to make relevant cultural references or jokes, which can make a piece more engaging and relatable.

However, mastering context in AI writing is a complex task. It involves a deep learning process where the AI must be exposed to a vast array of scenarios and text types. Through machine learning algorithms , the AI can analyze patterns and learn from feedback, gradually improving its ability to mimic human-like contextual awareness. Ultimately, integrating context is about enriching AI-generated content so that it not only informs but also connects with readers on a human level.

Editing AI-Generated Content for a Natural Flow

Editing AI-Generated Text style=

Once AI has produced a draft, the human touch comes into play through editing to ensure a natural flow. This crucial step involves refining the text to eliminate any awkward phrasing or inconsistencies that can disrupt the reader's experience. It's during this phase that an editor will pay close attention to the rhythm and pacing of sentences, smoothing out transitions and enhancing the overall readability of the content.

Editing AI-generated content goes beyond mere proofreading. It's about infusing personality and a unique voice into the text. Editors might add idiomatic expressions, vary sentence lengths, and incorporate questions to create a more dynamic and engaging narrative. Subtle adjustments such as these can significantly elevate the quality of AI writing, making it virtually indistinguishable from content written by humans.

An editor will also look for opportunities to inject emotion where appropriate, using descriptive language that resonates with the audience. By doing so, they can transform informative content into a piece that not only informs but also evokes a response. This could mean the difference between a reader skimming through an article and one who is fully engaged and moved to action.

Ultimately, the goal of editing AI-generated content is to create a seamless reading experience, where the technology behind the writing becomes invisible. Through meticulous editing, we can achieve a level of refinement and sophistication that prompts readers to focus on the message, rather than the medium of its delivery.

Evaluating AI Writing: A Human Perspective

Evaluating AI Writing Quality style=

When evaluating AI-generated writing, it is essential to adopt a human perspective to ensure that the content not only makes sense but also connects with readers on a personal level. A thorough evaluation looks at various aspects of the content, such as emotional depth, cultural nuances, and the ability to engage in storytelling. These are areas where human writers typically excel and where AI might need further refinement.

Understanding the target audience is paramount in this process. Human evaluators can discern whether the writing addresses the audience's needs, interests, and pain points effectively. They can also assess the subtleties of tone and style – is the writing too formal or too casual? Does it strike the right balance? Moreover, human insight is invaluable in spotting nuances that AI might miss, such as regional idioms or context-specific references that resonate with readers.

Feedback from actual readers can also be instrumental in evaluating AI writing. Reader engagement metrics, such as comments, shares, and time spent on the page, can provide tangible evidence of how well the content is performing. A human perspective is crucial in interpreting these metrics and making the necessary adjustments to the AI's output.

For those looking to harness the full potential of AI writing while maintaining a human touch, visit our website to learn more and get started today ! Our platform, Juice.ai, is designed to bridge the gap between technology and the human element, ensuring that your content resonates with your audience and drives engagement. Click here to explore how we can elevate your content marketing strategy.

About The Author

Featured Articles

how to make an essay sound less ai generated

Why Evergreen Content Should Be The Lifeblood Of Your Website

how to make an essay sound less ai generated

3 Reasons Why YOUR Business Can Always Benefit From Consistent SEO Practice

how to make an essay sound less ai generated

6 Tips For Developing a Proper Sales Funnel on Your Shopify Site

how to make an essay sound less ai generated

The Two Main Ways of Creating SEO Content

how to make an essay sound less ai generated

3 Incredible Ways to Identify Blog Growth using Google Analytics

how to make an essay sound less ai generated

How To Treat Your Winning SEO Articles

how to make an essay sound less ai generated

5 Ways to Get the Most ROI Out of Your SEO Content

how to make an essay sound less ai generated

What is SEO and How Can I Master it Quickly?

Get a free personalized marketing plan for your business.

Login Required for Access

Are your AI-generated articles being detected by the toughest AI-detectors like GPTZero, ZeroGPT, or ContentAtScale? With Rewrite as Human, you can take the guesswork out of content creation and rewrite your articles to avoid detection in a single click.

No tricks or gimmicks – our web app uses advanced rewriting algorithms to make sure your articles are undetectable. Achieve peace of mind that your content is unique and high quality, without sacrificing time spent on writing or manual editing.

Some people say AI content is okay’d by Google. Is it really though? By using AI to generate your content, this already contradicts Google’s EEAT. So who’s the one with expertise, experience, authoritativeness, and trustworthiness? You or GPT?

Rewrite As Human offers an easy solution for those looking for creating undetectable content. Stop worrying about duplicated content and start delighting your customers with original, high-quality pieces they won't find anywhere else. Try Rewrite As Human now to write like a human every time.

MIT Technology Review

  • Newsletters

How to spot AI-generated text

The internet is increasingly awash with text written by AI software. We need new tools to detect it.

  • Melissa Heikkilä archive page

""

This sentence was written by an AI—or was it? OpenAI’s new chatbot, ChatGPT, presents us with a problem: How will we know whether what we read online is written by a human or a machine?

Since it was released in late November, ChatGPT has been used by over a million people. It has the AI community enthralled, and it is clear the internet is increasingly being flooded with AI-generated text. People are using it to come up with jokes, write children’s stories, and craft better emails. 

ChatGPT is OpenAI’s spin-off of its large language model GPT-3 , which generates remarkably human-sounding answers to questions that it’s asked. The magic—and danger—of these large language models lies in the illusion of correctness. The sentences they produce look right—they use the right kinds of words in the correct order. But the AI doesn’t know what any of it means. These models work by predicting the most likely next word in a sentence. They haven’t a clue whether something is correct or false, and they confidently present information as true even when it is not. 

In an already polarized, politically fraught online world, these AI tools could further distort the information we consume. If they are rolled out into the real world in real products, the consequences could be devastating. 

We’re in desperate need of ways to differentiate between human- and AI-written text in order to counter potential misuses of the technology, says Irene Solaiman, policy director at AI startup Hugging Face, who used to be an AI researcher at OpenAI and studied AI output detection for the release of GPT-3’s predecessor GPT-2. 

New tools will also be crucial to enforcing bans on AI-generated text and code, like the one recently announced by Stack Overflow, a website where coders can ask for help. ChatGPT can confidently regurgitate answers to software problems, but it’s not foolproof. Getting code wrong can lead to buggy and broken software, which is expensive and potentially chaotic to fix. 

A spokesperson for Stack Overflow says that the company’s moderators are “examining thousands of submitted community member reports via a number of tools including heuristics and detection models” but would not go into more detail. 

In reality, it is incredibly difficult, and the ban is likely almost impossible to enforce.

Today’s detection tool kit

There are various ways researchers have tried to detect AI-generated text. One common method is to use software to analyze different features of the text—for example, how fluently it reads, how frequently certain words appear, or whether there are patterns in punctuation or sentence length. 

“If you have enough text, a really easy cue is the word ‘the’ occurs too many times,” says Daphne Ippolito, a senior research scientist at Google Brain, the company’s research unit for deep learning. 

Because large language models work by predicting the next word in a sentence, they are more likely to use common words like “the,” “it,” or “is” instead of wonky, rare words. This is exactly the kind of text that automated detector systems are good at picking up, Ippolito and a team of researchers at Google found in research they published in 2019.

But Ippolito’s study also showed something interesting: the human participants tended to think this kind of “clean” text looked better and contained fewer mistakes, and thus that it must have been written by a person. 

In reality, human-written text is riddled with typos and is incredibly variable, incorporating different styles and slang, while “language models very, very rarely make typos. They’re much better at generating perfect texts,” Ippolito says. 

“A typo in the text is actually a really good indicator that it was human written,” she adds. 

Large language models themselves can also be used to detect AI-generated text. One of the most successful ways to do this is to retrain the model on some texts written by humans, and others created by machines, so it learns to differentiate between the two, says Muhammad Abdul-Mageed, who is the Canada research chair in natural-language processing and machine learning at the University of British Columbia and has studied detection . 

Scott Aaronson, a computer scientist at the University of Texas on secondment as a researcher at OpenAI for a year, meanwhile, has been developing watermarks for longer pieces of text generated by models such as GPT-3—“an otherwise unnoticeable secret signal in its choices of words, which you can use to prove later that, yes, this came from GPT,” he writes in his blog. 

A spokesperson for OpenAI confirmed that the company is working on watermarks, and said its policies state that users should clearly indicate text generated by AI “in a way no one could reasonably miss or misunderstand.” 

But these technical fixes come with big caveats. Most of them don’t stand a chance against the latest generation of AI language models, as they are built on GPT-2 or other earlier models. Many of these detection tools work best when there is a lot of text available; they will be less efficient in some concrete use cases, like chatbots or email assistants, which rely on shorter conversations and provide less data to analyze. And using large language models for detection also requires powerful computers, and access to the AI model itself, which tech companies don’t allow, Abdul-Mageed says. 

The bigger and more powerful the model, the harder it is to build AI models to detect what text is written by a human and what isn’t, says Solaiman. 

“What’s so concerning now is that [ChatGPT has] really impressive outputs. Detection models just can’t keep up. You’re playing catch-up this whole time,” she says. 

Training the human eye

There is no silver bullet for detecting AI-written text, says Solaiman. “A detection model is not going to be your answer for detecting synthetic text in the same way that a safety filter is not going to be your answer for mitigating biases,” she says. 

To have a chance of solving the problem, we’ll need improved technical fixes and more transparency around when humans are interacting with an AI, and people will need to learn to spot the signs of AI-written sentences. 

“What would be really nice to have is a plug-in to Chrome or to whatever web browser you’re using that will let you know if any text on your web page is machine generated,” Ippolito says.

Some help is already out there. Researchers at Harvard and IBM developed a tool called Giant Language Model Test Room (GLTR), which supports humans by highlighting passages that might have been generated by a computer program. 

But AI is already fooling us. Researchers at Cornell University found that people found fake news articles generated by GPT-2 credible about 66% of the time. 

Another study found that untrained humans were able to correctly spot text generated by GPT-3 only at a level consistent with random chance.  

The good news is that people can be trained to be better at spotting AI-generated text, Ippolito says. She built a game to test how many sentences a computer can generate before a player catches on that it’s not human, and found that people got gradually better over time. 

“If you look at lots of generative texts and you try to figure out what doesn’t make sense about it, you can get better at this task,” she says. One way is to pick up on implausible statements, like the AI saying it takes 60 minutes to make a cup of coffee.

Artificial intelligence

Large language models can do jaw-dropping things. but nobody knows exactly why..

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

  • Will Douglas Heaven archive page

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

What’s next for generative video

OpenAI's Sora has raised the bar for AI moviemaking. Here are four things to bear in mind as we wrap our heads around what's coming.

The AI Act is done. Here’s what will (and won’t) change

The hard work starts now.

Stay connected

Get the latest updates from mit technology review.

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at [email protected] with a list of newsletters you’d like to receive.

how to make an essay sound less ai generated

Productivity

3 Writesonic features that make your AI-generated content more human

Hero image with the Writesonic logo

Time savings isn't the only reason I fancy the tool. In my experience with content generators, most (if not all) of their outputs lack the human touch. You need to edit, fine-tune, and add some creative flair to make the content sound human .

And that's fair—you're a human, and it's not. But Writesonic comes with some built-in features that give its initial output a more human-like touch, so I need to spend less time editing.

How does Writesonic work?

Writesonic works like other AI writing tools: you select the specific template for your use case, give it a set of parameters, and it generates content for you. Writesonic has over 100 writing templates (what it calls "features"). I've used it to generate emails, ads, blog posts, and product descriptions.

In addition to the features I'm about to dig into, Writesonic also stands out for having upgraded its generative AI model to the most advanced version: GPT-4. Most other tools are still running on GPT-3.5, which, in theory, means the content you get from Writesonic will be more reliable and human, as GPT-4 is meant to produce more natural, accurate, and engaging outputs.

With that, here are the three Writesonic features that I feel make my AI-generated content feel more human, even before I get my hands on it.  

Passive-to-active voice tool

Take a look at this sentence:

The demand for human writers may be decreased due to the automation of tasks such as content creation and copywriting.

It sounds robotic, right? And it's kind of difficult to follow.

Passive phrases like that ("be decreased") are pretty common with AI content generators, especially when you don't provide clear instructions on tone or style. And while passive voice is sometimes the best choice, too much of it can make things really clunky.

Writesonic's passive-to-active voice tool can rewrite AI-generated passive sentences in the active voice, so they're easier to read. When you log in to your Writesonic account, search for passive to active voice in the search bar. Open the feature, and you'll see a blank page with form fields.

The Passive to Active Voice feature

Name your document, input the passive sentences you want to convert to active voice, then select your language and quality type. Click Generate , and Writesonic will rewrite the passive sentences in the active voice.

So, let's quickly rewrite the previous passive sentence. For this example, I'm choosing the Superior quality type (which uses GPT-4). Here's the result.

The result: The automation of tasks such as content creation and copywriting may decrease the demand for human writers.

Much better. And much more human.

Tone changer

We marketers know the importance of our unique brand voice and personality. But conveying that tone of voice (TOV) can be challenging, especially when creating content across multiple channels. 

Writesonic's tone changer helps you capture different tones of voice and produce content that matches your brand. AI content generators usually lack personality and empathy—two critical aspects of content marketing—and the tone changer feature helps counteract this.

When using any Writesonic template to generate content, you'll find several options for tone of voice—things like encouraging, dramatic, witty, and sarcastic. Select the one that matches your brand and audience.

The dropdown of tones in Writesonic's Tone Changer

After you supply the necessary information for your copy, click Generate , and the tool will produce content that reflects that adjective. The fact that this tone changer lives inside every Writesonic feature helps you maintain consistency in tone when creating content for multiple platforms.

If your existing content doesn't reflect your brand's personality, you can also use Writesonic to change the tone. Search for tone changer on your dashboard, and in the field for tone, type any tone you want Writesonic to convert your content to. Click Generate .

Typing in your bespoke tone in the Tone Changer

Immediately, the tool will rewrite your content to match the specified tone.

Analogy maker

I'm using analogies a lot in my new blog, and I like to think they make my writing stand out. But coming up with the right analogy every time is tough. So I use Writesonic's analogy maker.

When you open the feature (you can search for it from your dashboard), you'll see form fields similar to those in the tone changer. Enter the statement you want to create an analogy for, then select your language and quality type. Click Generate , and the tool will churn out five creative analogies for you. Some will be terrible, but you might find a gem.

For an article on personal growth, I asked Writesonic to create an analogy about "personal growth and raising kids." Here are the outputs it produced.

Writesonic's analogy maker

I use this mostly for inspiration. Sometimes I combine multiple ones, edit a specific one, or just get a spark from one of the ideas. 

Why is it important to humanize AI-generated content? 

Now here's the rub. Even though these features improve the quality of content I get from Writesonic, I never treat them as publish-ready content. AI content may look impressive, but on its own, it provides unoriginal, often awkward, and sometimes inaccurate content. 

This is bad not only because you won't connect with your audience in a personal and authentic way, but also because it won't please Google. In the latest version of their guidelines , Google makes it clear that auto-generated content that adds no value will be treated as spam—that means SEO penalties, among other things. 

Following the September 2022 Helpful Core Update, Strategic Growth Advisor Kevin Indig published a report showing a site—throughtheclutter.com—that was brutally penalized by Google for using AI-generated content without taking extra care to humanize it. The effect was so bad that the website traffic tanked to almost zero from ~1M monthly visitors. And that's just one example. Several marketers on Twitter and LinkedIn have reported similar outcomes with sites that exclusively relied on AI tools for content production.

AI content tools are just that: tools. Their outputs serve as, at best, rough drafts. But if an AI tool does a pretty good job (like Writesonic), it'll drastically cut down your editing time . 

Automate your AI content production

Writesonic integrates with WordPress, so if you're creating blog posts like I am, you can publish directly to your blog in one click after editing in the Google Docs-style editor. But if you're creating content for other platforms, you can use Zapier to connect Writesonic to thousands of other apps and put your content production on autopilot. Here are some examples of how to get started.

Create a Google Doc with new content from Writesonic

Writesonic logo

Generate product descriptions with Writesonic from spreadsheet rows in Google Sheets

Google Sheets logo

Zapier is a no-code automation tool that lets you connect your apps into automated workflows, so that every person and every business can move forward at growth speed. Learn more about how it works .

Related reading:

The best AI writing generators

Writesonic vs. Jasper: Which AI writing tools is best?

How to use AI badly

How to use Midjourney

Get productivity tips delivered straight to your inbox

We’ll email you 1-3 times per week—and never share your information.

Juliet John picture

Juliet John

Juliet is a B2B SaaS content writer. She writes authoritative and helpful long-form content that drives revenue and ranks on search. Outside content marketing, she loves to cook and read fiction. Find her at https://writerjuliet.com/

  • Artificial intelligence (AI)
  • Media and editorial
  • Content marketing

Related articles

A hero image for Google Sheets app tips with the Google Sheets logo on a green background

How to make a table in Google Sheets

A hero image for Microsoft Teams app tips with the Microsoft Teams logo

How to set or schedule an out of office status in Teams (and then remove it)

How to set or schedule an out of office...

The Gmail icon.

Where is the archive in Gmail? A quick guide with a simple answer

Where is the archive in Gmail? A quick guide...

Hero image with the monday.com logo

7 monday.com features to streamline your project management

7 monday.com features to streamline your...

Improve your productivity automatically. Use Zapier to get your apps working together.

A Zap with the trigger 'When I get a new lead from Facebook,' and the action 'Notify my team in Slack'

Our approach

  • Responsibility
  • Infrastructure
  • Try Meta AI

RECOMMENDED READS

  • 5 Steps to Getting Started with Llama 2
  • The Llama Ecosystem: Past, Present, and Future
  • Introducing Code Llama, a state-of-the-art large language model for coding
  • Meta and Microsoft Introduce the Next Generation of Llama
  • Today, we’re introducing Meta Llama 3, the next generation of our state-of-the-art open source large language model.
  • Llama 3 models will soon be available on AWS, Databricks, Google Cloud, Hugging Face, Kaggle, IBM WatsonX, Microsoft Azure, NVIDIA NIM, and Snowflake, and with support from hardware platforms offered by AMD, AWS, Dell, Intel, NVIDIA, and Qualcomm.
  • We’re dedicated to developing Llama 3 in a responsible way, and we’re offering various resources to help others use it responsibly as well. This includes introducing new trust and safety tools with Llama Guard 2, Code Shield, and CyberSec Eval 2.
  • In the coming months, we expect to introduce new capabilities, longer context windows, additional model sizes, and enhanced performance, and we’ll share the Llama 3 research paper.
  • Meta AI, built with Llama 3 technology, is now one of the world’s leading AI assistants that can boost your intelligence and lighten your load—helping you learn, get things done, create content, and connect to make the most out of every moment. You can try Meta AI here .

Today, we’re excited to share the first two models of the next generation of Llama, Meta Llama 3, available for broad use. This release features pretrained and instruction-fine-tuned language models with 8B and 70B parameters that can support a broad range of use cases. This next generation of Llama demonstrates state-of-the-art performance on a wide range of industry benchmarks and offers new capabilities, including improved reasoning. We believe these are the best open source models of their class, period. In support of our longstanding open approach, we’re putting Llama 3 in the hands of the community. We want to kickstart the next wave of innovation in AI across the stack—from applications to developer tools to evals to inference optimizations and more. We can’t wait to see what you build and look forward to your feedback.

Our goals for Llama 3

With Llama 3, we set out to build the best open models that are on par with the best proprietary models available today. We wanted to address developer feedback to increase the overall helpfulness of Llama 3 and are doing so while continuing to play a leading role on responsible use and deployment of LLMs. We are embracing the open source ethos of releasing early and often to enable the community to get access to these models while they are still in development. The text-based models we are releasing today are the first in the Llama 3 collection of models. Our goal in the near future is to make Llama 3 multilingual and multimodal, have longer context, and continue to improve overall performance across core LLM capabilities such as reasoning and coding.

State-of-the-art performance

Our new 8B and 70B parameter Llama 3 models are a major leap over Llama 2 and establish a new state-of-the-art for LLM models at those scales. Thanks to improvements in pretraining and post-training, our pretrained and instruction-fine-tuned models are the best models existing today at the 8B and 70B parameter scale. Improvements in our post-training procedures substantially reduced false refusal rates, improved alignment, and increased diversity in model responses. We also saw greatly improved capabilities like reasoning, code generation, and instruction following making Llama 3 more steerable.

how to make an essay sound less ai generated

*Please see evaluation details for setting and parameters with which these evaluations are calculated.

In the development of Llama 3, we looked at model performance on standard benchmarks and also sought to optimize for performance for real-world scenarios. To this end, we developed a new high-quality human evaluation set. This evaluation set contains 1,800 prompts that cover 12 key use cases: asking for advice, brainstorming, classification, closed question answering, coding, creative writing, extraction, inhabiting a character/persona, open question answering, reasoning, rewriting, and summarization. To prevent accidental overfitting of our models on this evaluation set, even our own modeling teams do not have access to it. The chart below shows aggregated results of our human evaluations across of these categories and prompts against Claude Sonnet, Mistral Medium, and GPT-3.5.

how to make an essay sound less ai generated

Preference rankings by human annotators based on this evaluation set highlight the strong performance of our 70B instruction-following model compared to competing models of comparable size in real-world scenarios.

Our pretrained model also establishes a new state-of-the-art for LLM models at those scales.

how to make an essay sound less ai generated

To develop a great language model, we believe it’s important to innovate, scale, and optimize for simplicity. We adopted this design philosophy throughout the Llama 3 project with a focus on four key ingredients: the model architecture, the pretraining data, scaling up pretraining, and instruction fine-tuning.

Model architecture

In line with our design philosophy, we opted for a relatively standard decoder-only transformer architecture in Llama 3. Compared to Llama 2, we made several key improvements. Llama 3 uses a tokenizer with a vocabulary of 128K tokens that encodes language much more efficiently, which leads to substantially improved model performance. To improve the inference efficiency of Llama 3 models, we’ve adopted grouped query attention (GQA) across both the 8B and 70B sizes. We trained the models on sequences of 8,192 tokens, using a mask to ensure self-attention does not cross document boundaries.

Training data

To train the best language model, the curation of a large, high-quality training dataset is paramount. In line with our design principles, we invested heavily in pretraining data. Llama 3 is pretrained on over 15T tokens that were all collected from publicly available sources. Our training dataset is seven times larger than that used for Llama 2, and it includes four times more code. To prepare for upcoming multilingual use cases, over 5% of the Llama 3 pretraining dataset consists of high-quality non-English data that covers over 30 languages. However, we do not expect the same level of performance in these languages as in English.

To ensure Llama 3 is trained on data of the highest quality, we developed a series of data-filtering pipelines. These pipelines include using heuristic filters, NSFW filters, semantic deduplication approaches, and text classifiers to predict data quality. We found that previous generations of Llama are surprisingly good at identifying high-quality data, hence we used Llama 2 to generate the training data for the text-quality classifiers that are powering Llama 3.

We also performed extensive experiments to evaluate the best ways of mixing data from different sources in our final pretraining dataset. These experiments enabled us to select a data mix that ensures that Llama 3 performs well across use cases including trivia questions, STEM, coding, historical knowledge, etc.

Scaling up pretraining

To effectively leverage our pretraining data in Llama 3 models, we put substantial effort into scaling up pretraining. Specifically, we have developed a series of detailed scaling laws for downstream benchmark evaluations. These scaling laws enable us to select an optimal data mix and to make informed decisions on how to best use our training compute. Importantly, scaling laws allow us to predict the performance of our largest models on key tasks (for example, code generation as evaluated on the HumanEval benchmark—see above) before we actually train the models. This helps us ensure strong performance of our final models across a variety of use cases and capabilities.

We made several new observations on scaling behavior during the development of Llama 3. For example, while the Chinchilla-optimal amount of training compute for an 8B parameter model corresponds to ~200B tokens, we found that model performance continues to improve even after the model is trained on two orders of magnitude more data. Both our 8B and 70B parameter models continued to improve log-linearly after we trained them on up to 15T tokens. Larger models can match the performance of these smaller models with less training compute, but smaller models are generally preferred because they are much more efficient during inference.

To train our largest Llama 3 models, we combined three types of parallelization: data parallelization, model parallelization, and pipeline parallelization. Our most efficient implementation achieves a compute utilization of over 400 TFLOPS per GPU when trained on 16K GPUs simultaneously. We performed training runs on two custom-built 24K GPU clusters . To maximize GPU uptime, we developed an advanced new training stack that automates error detection, handling, and maintenance. We also greatly improved our hardware reliability and detection mechanisms for silent data corruption, and we developed new scalable storage systems that reduce overheads of checkpointing and rollback. Those improvements resulted in an overall effective training time of more than 95%. Combined, these improvements increased the efficiency of Llama 3 training by ~three times compared to Llama 2.

Instruction fine-tuning

To fully unlock the potential of our pretrained models in chat use cases, we innovated on our approach to instruction-tuning as well. Our approach to post-training is a combination of supervised fine-tuning (SFT), rejection sampling, proximal policy optimization (PPO), and direct preference optimization (DPO). The quality of the prompts that are used in SFT and the preference rankings that are used in PPO and DPO has an outsized influence on the performance of aligned models. Some of our biggest improvements in model quality came from carefully curating this data and performing multiple rounds of quality assurance on annotations provided by human annotators.

Learning from preference rankings via PPO and DPO also greatly improved the performance of Llama 3 on reasoning and coding tasks. We found that if you ask a model a reasoning question that it struggles to answer, the model will sometimes produce the right reasoning trace: The model knows how to produce the right answer, but it does not know how to select it. Training on preference rankings enables the model to learn how to select it.

Building with Llama 3

Our vision is to enable developers to customize Llama 3 to support relevant use cases and to make it easier to adopt best practices and improve the open ecosystem. With this release, we’re providing new trust and safety tools including updated components with both Llama Guard 2 and Cybersec Eval 2, and the introduction of Code Shield—an inference time guardrail for filtering insecure code produced by LLMs.

We’ve also co-developed Llama 3 with torchtune , the new PyTorch-native library for easily authoring, fine-tuning, and experimenting with LLMs. torchtune provides memory efficient and hackable training recipes written entirely in PyTorch. The library is integrated with popular platforms such as Hugging Face, Weights & Biases, and EleutherAI and even supports Executorch for enabling efficient inference to be run on a wide variety of mobile and edge devices. For everything from prompt engineering to using Llama 3 with LangChain we have a comprehensive getting started guide and takes you from downloading Llama 3 all the way to deployment at scale within your generative AI application.

A system-level approach to responsibility

We have designed Llama 3 models to be maximally helpful while ensuring an industry leading approach to responsibly deploying them. To achieve this, we have adopted a new, system-level approach to the responsible development and deployment of Llama. We envision Llama models as part of a broader system that puts the developer in the driver’s seat. Llama models will serve as a foundational piece of a system that developers design with their unique end goals in mind.

how to make an essay sound less ai generated

Instruction fine-tuning also plays a major role in ensuring the safety of our models. Our instruction-fine-tuned models have been red-teamed (tested) for safety through internal and external efforts. ​​Our red teaming approach leverages human experts and automation methods to generate adversarial prompts that try to elicit problematic responses. For instance, we apply comprehensive testing to assess risks of misuse related to Chemical, Biological, Cyber Security, and other risk areas. All of these efforts are iterative and used to inform safety fine-tuning of the models being released. You can read more about our efforts in the model card .

Llama Guard models are meant to be a foundation for prompt and response safety and can easily be fine-tuned to create a new taxonomy depending on application needs. As a starting point, the new Llama Guard 2 uses the recently announced MLCommons taxonomy, in an effort to support the emergence of industry standards in this important area. Additionally, CyberSecEval 2 expands on its predecessor by adding measures of an LLM’s propensity to allow for abuse of its code interpreter, offensive cybersecurity capabilities, and susceptibility to prompt injection attacks (learn more in our technical paper ). Finally, we’re introducing Code Shield which adds support for inference-time filtering of insecure code produced by LLMs. This offers mitigation of risks around insecure code suggestions, code interpreter abuse prevention, and secure command execution.

With the speed at which the generative AI space is moving, we believe an open approach is an important way to bring the ecosystem together and mitigate these potential harms. As part of that, we’re updating our Responsible Use Guide (RUG) that provides a comprehensive guide to responsible development with LLMs. As we outlined in the RUG, we recommend that all inputs and outputs be checked and filtered in accordance with content guidelines appropriate to the application. Additionally, many cloud service providers offer content moderation APIs and other tools for responsible deployment, and we encourage developers to also consider using these options.

Deploying Llama 3 at scale

Llama 3 will soon be available on all major platforms including cloud providers, model API providers, and much more. Llama 3 will be everywhere .

Our benchmarks show the tokenizer offers improved token efficiency, yielding up to 15% fewer tokens compared to Llama 2. Also, Group Query Attention (GQA) now has been added to Llama 3 8B as well. As a result, we observed that despite the model having 1B more parameters compared to Llama 2 7B, the improved tokenizer efficiency and GQA contribute to maintaining the inference efficiency on par with Llama 2 7B.

For examples of how to leverage all of these capabilities, check out Llama Recipes which contains all of our open source code that can be leveraged for everything from fine-tuning to deployment to model evaluation.

What’s next for Llama 3?

The Llama 3 8B and 70B models mark the beginning of what we plan to release for Llama 3. And there’s a lot more to come.

Our largest models are over 400B parameters and, while these models are still training, our team is excited about how they’re trending. Over the coming months, we’ll release multiple models with new capabilities including multimodality, the ability to converse in multiple languages, a much longer context window, and stronger overall capabilities. We will also publish a detailed research paper once we are done training Llama 3.

To give you a sneak preview for where these models are today as they continue training, we thought we could share some snapshots of how our largest LLM model is trending. Please note that this data is based on an early checkpoint of Llama 3 that is still training and these capabilities are not supported as part of the models released today.

how to make an essay sound less ai generated

We’re committed to the continued growth and development of an open AI ecosystem for releasing our models responsibly. We have long believed that openness leads to better, safer products, faster innovation, and a healthier overall market. This is good for Meta, and it is good for society. We’re taking a community-first approach with Llama 3, and starting today, these models are available on the leading cloud, hosting, and hardware platforms with many more to come.

Try Meta Llama 3 today

We’ve integrated our latest models into Meta AI, which we believe is the world’s leading AI assistant. It’s now built with Llama 3 technology and it’s available in more countries across our apps.

You can use Meta AI on Facebook, Instagram, WhatsApp, Messenger, and the web to get things done, learn, create, and connect with the things that matter to you. You can read more about the Meta AI experience here .

Visit the Llama 3 website to download the models and reference the Getting Started Guide for the latest list of all available platforms.

You’ll also soon be able to test multimodal Meta AI on our Ray-Ban Meta smart glasses.

As always, we look forward to seeing all the amazing products and experiences you will build with Meta Llama 3.

Our latest updates delivered to your inbox

Subscribe to our newsletter to keep up with Meta AI news, events, research breakthroughs, and more.

Join us in the pursuit of what’s possible with AI.

how to make an essay sound less ai generated

Product experiences

Foundational models

Latest news

Meta © 2024

IMAGES

  1. 8 Best AI Essay Writing Tools You Should Try

    how to make an essay sound less ai generated

  2. Write your Essay the Easy Way!

    how to make an essay sound less ai generated

  3. 6 Best AI Essay Writer Tools to Create 100% Original Content

    how to make an essay sound less ai generated

  4. Writing Essays With AI: A Guide

    how to make an essay sound less ai generated

  5. Best AI Essay Writing Tools for Students

    how to make an essay sound less ai generated

  6. How to rewrite essays with ai using wordbot

    how to make an essay sound less ai generated

VIDEO

  1. It be like that

  2. Generate AI Voices & Clone Your Voice IN SECONDS

  3. Mastering the 3-Paragraph Essay

  4. Sound Effects

  5. AI Voice Generator

  6. Lullaby of the moon

COMMENTS

  1. WriteHuman: Undetectable AI and AI Humanizer

    The premier AI detector and AI humanizer, WriteHuman empowers you to take control of your AI privacy. By removing AI detection from popular platforms like Turnitin, ZeroGPT, Writer, and many others, you can confidently submit your content without triggering any alarms. Embrace a new era of seamless content creation. Humanize AI Text.

  2. AI Content Detection Remover: Rewrite & Bypass AI Detection

    Smodin's AI Content Detection Remover provides users with a powerful solution for maintaining the creative essence of AI-generated content while bypassing AI detection software and tools. Our tool expertly restructures and rewrites your content, making it less recognizable as AI-generated while preserving its unique insights and ideas.

  3. AI Detector, AI Checker, & AI Humanizer

    Input your AI-generated content into our user-friendly AI detector and humanizer tool. It's designed to handle text of up to 10,000 characters length at a time. Once you input your text, Undetectable AI's detection bypass algorithms start to work. Just sit back and relax as our AI detection remover does its' magic.

  4. How to Make AI Writing Undetectable: The 5 Best Ways

    Iterative Writing: Do not prompt AI to write a whole piece of content at once. Separate it into sections or paragraphs. After each section, review and prompt the AI to change parts that need improvement. Feedback Loops: When you spot errors or problematic patterns, provide feedback to the AI.

  5. How to Make AI Writing Undetectable: A Complete Guide

    Use Higher Level Vocabulary. Another great technique for making AI-generated content less detectable is to incorporate higher-level vocabulary into your writing. This not only elevates the quality of your content but also helps to obscure the telltale signs that it was produced by an AI.

  6. Phrasly: Best AI Detection Remover

    Phrasly.AI is the best AI detection remover and bypass service that helps you create authentic and engaging content. Whether you need to rewrite your AI-generated text, avoid false positives from Turnitin, or learn how to bypass AI detectors, Phrasly.AI has the solution for you. Try our AI humanizer and content transformation tools today and see the difference.

  7. HideMyAl

    Bypass AI detectors, and transform AI generated content to humanlike copy with our free tool. Try the HideMyAI AI content humanizer for free. With this public demo, you can easily input text created with ChatGPT, Jasper, etc... and our proprietary models will make it undetectable to humans and AI scanners alike. We offer limited usage to visitors.

  8. How To Avoid AI Detection As A Writer

    Tip #3: Add some personal touch. The third tip for avoiding AI detection when using ChatGPT is incorporating personal anecdotes or experiences into your generated text. This technique aligns with Google's E-E-A-T principle, which stands for Experience, Expertise, Authority, and Trustworthiness.

  9. How to Make AI Content Undetectable: 10 Best Ways to Explore

    Leverage Paraphrasing Tool. Besides using an undetectable AI writer, you may also try online rewriting or paraphrasing tools to rephrase your AI-generated text to make it undetectable. By replacing some robotic words with alternative words, it may help make AI text undetectable.

  10. How to Make AI-Generated Outputs Sound Less AI

    In this article, we'll guide you through effective ways to make your AI-crafted emails sound less machine-like and more human. AI-generated outputs refer to the textual content produced by artificial intelligence systems such as OpenAI's ChatGPT, Microsoft's Copilot, or MailMaestro. These advanced systems utilize machine learning algorithms to ...

  11. How To Make AI Content Undetectable In 2024 (From 10 Tests)

    Test 1: Using Undetectable.ai . The best method to make AI content undetectable is using a relatively new tool that I found called undetectable.ai.. It functions more or less like Quillbot, but it humanizes AI text to pass detection.. All you have to do is drop the text you want to rephrase in the text field and click "Humanize."

  12. The Writer's Dilemma: How to Avoid Sounding Like a Robot and ...

    As AI technology continues to advance, more and more people are turning to AI writing tools to help them generate content. But while AI writing tools can be useful for generating ideas and saving ...

  13. how to make text sound less like ai

    2. Vary Sentence Structure: AI tends to generate text with a consistent and predictable structure. To make your text sound more human, mix up your sentence lengths and structures. Use short, punchy sentences for emphasis, and longer, descriptive sentences to add variety and flow. 3.

  14. Free AI Detector

    Our AI Detector can detect most texts generated by popular tools like ChatGPT and Bard. Unfortunately, we can't guarantee 100% accuracy. The software works especially well with longer texts but can make mistakes if the AI output was prompted to be less predictable or was edited or paraphrased after being generated.

  15. How to make your essay undetectable by AI

    Discover how to bypass AI content detectors with our essential tips and hacks for content creators. In this video, we'll explain what AI content detectors ar...

  16. How to Make AI Writing Sound More Human: Tips & Tricks

    Understanding and employing context is pivotal in the quest to make AI writing sound more human. Context acts as the compass that guides the AI in choosing not only the right words but also the appropriate tone and style for different situations. When AI is trained to recognize the nuances of context, it can tailor its language to better fit ...

  17. Rewrite as Human

    Rewrite As Human offers an easy solution for those looking for creating undetectable content. Stop worrying about duplicated content and start delighting your customers with original, high-quality pieces they won't find anywhere else. Try Rewrite As Human now to write like a human every time. Rewrite AI-generated text to be undetectable by AI ...

  18. Free AI Paragraph Rewriter

    Ahrefs' Paragraph Rewriter can be beneficial for content creators, editors, or writers who need to enhance or refine their written content. By inputting a paragraph into the tool, users can receive a rewritten version that offers improved clarity, structure, and overall quality. This use case can save time and effort in the manual editing ...

  19. How to spot AI-generated text

    There are various ways researchers have tried to detect AI-generated text. One common method is to use software to analyze different features of the text—for example, how fluently it reads, how ...

  20. 10 Best Undetectable AI Tools to Bypass AI Detectors with Ease

    AIHumanizer is another undetectable AI writing tool you can use to take AI-generated text and make it sound more human. And one of the biggest selling points of this tool is its SEO performance.

  21. EssayGenius

    EssayGenius uses cutting-edge AI to help you write your essays like never before. Generate ideas, rephrase sentences, and have your essay structure built for you. EssayGenius lets you write better essays, in less time. Our AI tools help you generate new paragraphs, complete sentences, and rephrase your work to avoid plagiarism.

  22. Free AI Sentence Rewriter Tool

    Content editing and enhancement. Ahrefs' AI Sentence Rewriter Tool can be highly useful for content creators, writers, and editors who want to improve the quality and clarity of their sentences. By inputting sentences into the tool, users can receive rephrased versions that offer enhanced readability, improved flow, and better overall structure.

  23. How Writesonic makes your AI-generated content more human

    Writesonic's passive-to-active voice tool can rewrite AI-generated passive sentences in the active voice, so they're easier to read. When you log in to your Writesonic account, search for passive to active voice in the search bar. Open the feature, and you'll see a blank page with form fields. Name your document, input the passive sentences you ...

  24. Introducing Meta Llama 3: The most capable openly available LLM to date

    Meta AI, built with Llama 3 technology, is now one of the world's leading AI assistants that can boost your intelligence and lighten your load—helping you learn, get things done, create content, and connect to make the most out of every moment. ... Larger models can match the performance of these smaller models with less training compute ...

  25. Unleashing AI Sounds: The Best Tools For Music, Voices, And ...

    AI's capability to generate realistic text and images is well known, but it can also produce lifelike sounds. In recent years, AI-driven technology for creating music, voice, and sound effects has ...