Full automation of news collection, generation, and publication on WP
Project essence:
Creation of a fully autonomous conveyor (content factory) that monitors selected sources around the clock, processes information using artificial intelligence, and automatically publishes unique articles on the client's websites.
Logic of operation and system stages:
Step 1: Smart parsing and filtering (Deduplication). The system collects fresh publications (texts and photos) from specified websites on a schedule. To avoid spam and duplicates, the algorithm conducts semantic analysis: it compares the content of new articles with each other and checks them against the existing database. If the news has already been published, it is rejected.
Step 2: AI generation and content stylization. The selected unique news is sent to the neural network. The artificial intelligence creates a unique article, generates clickable headlines, and fully adapts the text to the specified Tone of Voice. The output is 100% unique, organic material that reads as if it were written by a live editor.
Step 3: Multichannel publication (Integration with WordPress). The finished content, along with the attached media files, is automatically distributed and published simultaneously on two different WordPress-based websites. The system independently determines the theme of the news and categorizes the articles into the appropriate categories and sections.
Value for the business:
The client has received their own "uninterrupted editorial" that operates 24/7. The websites are consistently filled with fresh, unique, and SEO-optimized content without involving copywriters or content managers. This not only saves dozens of hours of manual work each week but also consistently generates organic traffic through regular resource updates.
Creation of a fully autonomous conveyor (content factory) that monitors selected sources around the clock, processes information using artificial intelligence, and automatically publishes unique articles on the client's websites.
Logic of operation and system stages:
Step 1: Smart parsing and filtering (Deduplication). The system collects fresh publications (texts and photos) from specified websites on a schedule. To avoid spam and duplicates, the algorithm conducts semantic analysis: it compares the content of new articles with each other and checks them against the existing database. If the news has already been published, it is rejected.
Step 2: AI generation and content stylization. The selected unique news is sent to the neural network. The artificial intelligence creates a unique article, generates clickable headlines, and fully adapts the text to the specified Tone of Voice. The output is 100% unique, organic material that reads as if it were written by a live editor.
Step 3: Multichannel publication (Integration with WordPress). The finished content, along with the attached media files, is automatically distributed and published simultaneously on two different WordPress-based websites. The system independently determines the theme of the news and categorizes the articles into the appropriate categories and sections.
Value for the business:
The client has received their own "uninterrupted editorial" that operates 24/7. The websites are consistently filled with fresh, unique, and SEO-optimized content without involving copywriters or content managers. This not only saves dozens of hours of manual work each week but also consistently generates organic traffic through regular resource updates.
Lvov 
Available for hire