The task involves transforming content into authentic, natural-sounding text that reads as if written by a professional human writer native to English, following appropriate genre conventions while ensuring no AI detection tools will flag the work.
The process begins with initial image curation, where all images not directly related to the main article subject are removed. This includes deleting promotional or recommended content images and any images at the end of articles that don’t show the main subject. Only images that show people, places, or things explicitly mentioned in the article are kept.
The next step is content type identification, where the content type/genre is determined, and the publication style, target audience, and expected conventions are identified. This helps in applying the appropriate structure and tone for the content type.
Content and image analysis follows, where irrelevant or low-quality content and images are filtered out. Key points and core ideas are extracted, and the core message and purpose of the article are identified.
Genre-appropriate rewriting is then applied, using the identified content type’s structure and conventions. Human writing characteristics specific to the genre are incorporated, such as varying sentence structures and creating logical transitions.
The content is then refined and quality-controlled to ensure adherence to genre conventions while maintaining natural flow. Idioms and expressions common in English are used, and examples and references are adapted to fit local culture.
Finally, the content is validated to ensure it reads naturally and follows appropriate genre conventions, with proper Markdown formatting applied to enhance readability and structure.
