By defining the topic, post type, tone, personal experience, and content length, you create customized, 95% plagiarism-free, blog posts tailored to your needs.

Pro-Ln's platform extracts community knowledge and incorporates user feedback to generate blog posts of the highest quality.

After generating an industry-leading and engaging blog post, you have the option to determine if the generated post is appropriate for the community. The feedback will consist of choices to like or dislike the post, as well as the opportunity to respond to a randomly generated question.

Furthermore, you can choose to make your generated blog post visible or hidden for other users to review, giving you the opportunity to receive valuable feedback from industry-leading experts on your crafted content.

By reviewing existing blog posts and providing feedback, you play a crucial role in refining Pro-Ln's AI content generation model and assisting content writers in ensuring the content is primed and ready to captivate their audience.

This collaborative approach results in an increasingly sophisticated system, capable of producing improved content as the community grows and evolves.

The Review Blog Posts feature not only helps shape the way why, what, and how content is generated but also rewards you with free credits for your further blog post generation.

In addition, our unique validation system verifies user credibility by presenting occasional pre-determined invalid content. Failing to dislike such content results in a progress reset, ensuring the reliability of feedback received.

It's possible that you've grasped the fact that posts are generated from existing knowledge in the system and checked against a set of posts either added or created by the system. The downside of this method is that new posts validated by the community may have also been system-generated. Therefore, the community requires a means to input fresh content into the system, enabling them to determine what is correct or incorrect. This is where the Add Blog Post feature proves useful.

Users can contribute to the AI model and its training data by submitting their own content. For each piece of content that is reviewed and approved by the Unravel Pro-Ln community, the user receives free credits.