We're experimenting with a new AI system (multiple AI models working together) that is able to not only paraphrase but also enhance the content. The goal here is to make the AI "understand" the main ideas of each paragraph in an article and write a new paragraph with a different structure and different words. Furthermore, it is also trained to add new and relevant content where it "feels" it's needed.
The end result is usually a 100% unique article when checked with any plagiarism tool, that looks different and is actually different mainly due to the new content the AI is adding.
Here it is an example of paraphrasing, rewriting & enhancing content:
Original Paragraph:
The a/m paragraph, paraphrased and enhanced by our AI:
And here it is an example of a full article paraphrasing & enhancing:
Original Source:
Paraphrased and Enhanced article with our AI:
Quetext plagiarism score: 97% unique and the 3% difference to a score of 100% are some common expressions that can be found in many online articles (eg.: "Your personal information could be"). So, in reality, this is a 100% unique article.
But we have some things we're worried about:
1. Is the creation of such a tool (that not only paraphrases content but also enhances it) a good idea?
2. After checking the a/m sample, do you feel that the content is too "enhanced" and it goes too far from the original source? Or should it be even more enhanced and go even further from the original source?
Thanks
