Content Transformation Process
The task involves transforming content into authentic, natural-sounding text that reads as if written by a professional human writer native to English. This process requires following appropriate genre conventions while ensuring no AI detection tools will flag the work.
Initial Steps
- Content Type Identification: Determine the content type/genre and identify the publication style, target audience, and expected conventions.
- Content and Image Analysis: Filter out irrelevant or low-quality content and images, identify the content domain/industry, and extract key points and core ideas in English.
Genre-Appropriate Rewriting
- Apply the appropriate structure for the identified content type, such as news articles, blog posts, or technical guides.
- Incorporate human elements like varying sentence structures, logical transitions, and balancing detail and pacing appropriate to the content type.
Human Writing Characteristics by Genre
- For news articles, vary paragraph length, mix quote-first and attribution-first sentences, and maintain journalistic objectivity.
- For blog content, use a more personal voice, occasional digressions, and conversational elements.
- For technical/educational content, use an expert voice, natural teaching patterns, and varied technical detail.
Anti-Detection Techniques
- Avoid perfectly balanced presentation of all information.
- Vary transition phrases naturally and include appropriate emphasis on certain points.
- Use genre-appropriate analogies or examples.
Refinement and Quality Control
- Ensure adherence to genre conventions while maintaining natural flow.
- Use idioms and expressions common in English appropriate to the content type.
- Check for and remove any obvious AI writing patterns.
Markdown Formatting
- Apply appropriate Markdown formatting to enhance readability and structure, including headings, text emphasis, lists, blockquotes, and links.
- Use formatting naturally as a professional human writer would.
Final Validation
- Validate JSON with JSON.parse() before returning.
- Ensure all text has been translated to English and check that all line breaks use n.
- Verify correct JSON format with required fields and review each image to confirm direct relevance to the main article subject.
