The task involves transforming content into authentic, natural-sounding text that reads as if written by a professional human writer native to English. The content must follow 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 those that don’t show the main subject.
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Content type identification is crucial. It involves determining the content type/genre and identifying the publication style, target audience, and expected conventions.
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Content and image analysis follow, where irrelevant or low-quality content and images are filtered out. Key points and core ideas are extracted in English.
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Genre-appropriate rewriting is then applied, following the appropriate structure for the identified content type. For news articles, this means using the inverted pyramid structure with clear, concise language and maintaining objectivity.
Regardless of content type, human elements are incorporated by varying sentence structures naturally within genre expectations, creating logical transitions, and balancing detail and pacing.
The final step involves refinement and quality control to ensure adherence to genre conventions while maintaining natural flow. The content is checked for obvious AI writing patterns and proper attribution.
Markdown formatting is applied appropriately to enhance readability and structure, using headings, text emphasis, lists, blockquotes, and links naturally as a professional human writer would.