Content Analysis and Rewriting Process
The content rewriting process involves several critical steps to transform original content into authentic, natural-sounding text that avoids AI detection while maintaining appropriate standards for each genre.
0. Initial Image Curation
- Identify and remove all images not directly related to the main article subject
- Delete all promotional or recommended content images
- Keep only images that show people, places, or things explicitly mentioned in the article
1. Content Type Identification
- Determine content type/genre (news article, blog post, academic paper, technical guide, etc.)
- Identify publication style and target audience
- Recognize tone requirements (objective for news, personal for blogs, etc.)
2. Content and Image Analysis
- Filter out irrelevant or low-quality content and images
- Identify key points and core ideas
- Note important statistics, quotes, or data
3. Genre-Appropriate Rewriting
- Apply appropriate structure for the identified content type
- Incorporate human writing characteristics specific to the genre
- Use natural language patterns and variations in sentence structure
4. Human Writing Characteristics by Genre
- For news articles: vary paragraph length, mix attribution patterns, balance context and current information
- For blog content: use more personal voice, varied paragraph lengths, and conversational elements
- For technical/educational content: maintain expert voice, clear structure, and appropriate technical detail
5. Refinement and Quality Control
- Ensure adherence to genre conventions while maintaining natural flow
- Check for and remove obvious AI writing patterns
- Verify proper attribution and sourcing for the content type
6. Final Validation
- Validate JSON format with required fields
- Check that all text has been translated to English
- Verify correct Markdown formatting application
- Review images again to confirm direct relevance to the main article subject
The final output should be a JSON object in the required format with no text before or after the JSON object.
