Why Kafkai Doesn’t Have Plagiarism and AI Detection Functions

-

An affiliate recently asked if Kafkai integrates anti-plagiarism or AI content detection tools into our platform. While these functionalities are important for some, here’s why we’ve chosen not to include them—and why it benefits our customers.

Do Kafkai’s Generated Content Include Plagiarism and AI Detection?

An affiliate from our program recently raised an important query: does Kafkai offer anti-plagiarism or AI detection functionalities for its generated content? The affiliate emphasized how crucial these tools are for content creators today.

It is true that some of AI-generation SaaS that we see today does have tools to so-call "detect" and tell you what percentage its own generated content can be considered plagiarised or AI-generated.

Well, for us the short answer is no, we do not offer these features, nor do we plan to. But to give you a deeper understanding, let me break this down from both a business and technical perspective.


An image of a young Asian woman having an empowered moment using AI

The Business Perspective

Our primary goal at Kafkai has always been to empower small and medium-sized businesses (SMBs) by leveraging AI to reduce costs, streamline processes, and improve efficiency.

Cost vs. Value for SMBs

Most of our customers value efficiency and quality over concerns about AI detection. The content they generate through Kafkai meets their needs and aligns with modern SEO guidelines.

Since Google’s 2023 update clarified that AI-generated content is acceptable if it serves users well, the question of AI detection has become less and less pressing.

Furthermore, Kafkai isn’t just about generating words—it’s a tool for crafting strategies and performing content analysis. Integrating unreliable or costly detection tools would detract from our mission to deliver high-quality, affordable solutions.

The Technical Perspective

From a technical standpoint, anti-plagiarism and AI detection tools bring more complications than solutions.

Why Plagiarism Detection Is Redundant

Large Language Models (LLMs), like the ones we use, are trained on massive datasets. LLMs like GPT-4 and Claude are designed to generate original content rather than reproduce existing text verbatim.

The chance of generating verbatim text from training data is statistically negligible unless you’re explicitly using a small, custom dataset. In our context, plagiarism detection often proves redundant.

Research has also proven that with access to increasingly capable LLMs, plagiarism decreased in spite of higher usage of AI to produce work.

The Flaws of AI Content Detection

AI detection tools, while intriguing, are highly unreliable—They analyze text for characteristics like perplexity (predictability) and burstiness (sentence variation), but these methods are probabilistic and prone to errors.

Most hover around an average 60% success rate and frequently produce false positives. They often confuse AI-generated content with human-written work, creating unnecessary confusion and distrust. Sometimes, the only way to go through an AI-detection tool is to write really badly.

Additionally, the nature of AI content makes it inherently difficult to detect. Even cryptographic signature methods (or watermarks) face hurdles: they need cooperation and a shared standard among major LLM providers—including open-source models—to be effective, which is unlikely anytime soon.

Why We Don’t Include These Features

Adding anti-plagiarism and AI detection tools would increase costs without providing genuine value to our customers. These tools don’t meet the reliability and accuracy standards we demand in our features. Instead, we focus on helping SMBs create meaningful, useful content that drives their business goals.

Moving Forward

I understand why these concerns were more prominent when ChatGPT-3 popularized AI content creation. But as the technology evolves, so must our understanding of its role. Dwelling on outdated worries only holds us back.

In reality, embracing the power of AI with informed, strategic use is the way forward. Businesses that adapt will thrive, while those that hesitate may find themselves left behind.

As a business, you will also need to make a decision: Does the inaccuracy and the cost of having a process that checks for all of these things bring value and makes any difference to your bottom line? I would love to hear your thoughts on this.


Conclusion

At Kafkai, we’re committed to leveraging AI for good—helping SMBs grow efficiently, not perpetuating fear or doubt about new technologies. Let’s focus on what AI can achieve and how it can propel your content strategy forward.

Related Articles

  1. Kafkai Redefines AI SEO - Strategy-First Content
kafkai logo