Automated system for aggregating RSS feeds and AI rewriting.
The goal of the project was to create a comprehensive solution for the automatic collection of news from various sources and its transformation into adapted content for social media. The system operates on the principle of "Human-in-the-loop": automation performs 95% of the routine, leaving the user only the final confirmation of publication.
What has been implemented:
Intelligent data collection: A single processing center has been set up for multiple RSS feeds. The system independently filters the incoming stream, avoiding news duplication.
Contextual AI rewriting: Integrated GPT and Gemini models. Instead of ordinary copying, the neural network analyzes the essence of the news and completely rewrites it, changing the style, structure, and emphasis according to the specified templates.
Creative visual generation: Automatic creation of unique covers has been implemented through the GPT Imagen API, allowing each post to have its own thematic image without the involvement of a designer.
Centralized control panel: A moderation system based on cloud spreadsheets has been developed. This allows viewing drafts, editing text/images, and managing publication statuses in one window.
Smart distributor: An automatic publication queue has been set up with delays and filters that simulate natural activity and protect accounts from being blocked.
Benefits and results for the business:
Maximum autonomy: The process from finding news to a ready post occurs without human intervention.
Scalability of content: The ability to maintain activity on many platforms simultaneously without spending time on copy-pasting and adaptation.
Cost reduction: The system replaces the work of several content managers and designers, operating around the clock.
Flexibility of settings: The owner can change the "brand voice" or message templates at any time through simple prompt settings.
#rss #Make.com #make #Automation #contentcreation #AI-content #Automation #content_automation #ChatGPT #GPT #airtable #news_aggregator #AIAutomation
What has been implemented:
Intelligent data collection: A single processing center has been set up for multiple RSS feeds. The system independently filters the incoming stream, avoiding news duplication.
Contextual AI rewriting: Integrated GPT and Gemini models. Instead of ordinary copying, the neural network analyzes the essence of the news and completely rewrites it, changing the style, structure, and emphasis according to the specified templates.
Creative visual generation: Automatic creation of unique covers has been implemented through the GPT Imagen API, allowing each post to have its own thematic image without the involvement of a designer.
Centralized control panel: A moderation system based on cloud spreadsheets has been developed. This allows viewing drafts, editing text/images, and managing publication statuses in one window.
Smart distributor: An automatic publication queue has been set up with delays and filters that simulate natural activity and protect accounts from being blocked.
Benefits and results for the business:
Maximum autonomy: The process from finding news to a ready post occurs without human intervention.
Scalability of content: The ability to maintain activity on many platforms simultaneously without spending time on copy-pasting and adaptation.
Cost reduction: The system replaces the work of several content managers and designers, operating around the clock.
Flexibility of settings: The owner can change the "brand voice" or message templates at any time through simple prompt settings.
#rss #Make.com #make #Automation #contentcreation #AI-content #Automation #content_automation #ChatGPT #GPT #airtable #news_aggregator #AIAutomation
Lutsk 
Available for hire
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