AI Killer of Journalists
Media Editorial AI Team
Critical pain points in today's digital news landscape
Media companies rapidly losing audience engagement and readership.
Struggling with need for more content, faster production, lower costs.
Manual content creation processes in editorial offices are time-consuming.
Difficulty monitoring and processing thousands of news sources.
Challenges in distributing content across platforms and languages.
Current landscape and future direction of AI adoption in media
First and only system that fully replaces an internet newsroom
Fayfo delivers end-to-end automation for media content processing, from source monitoring to publication, utilizing multiple AI models working in concert to produce high-quality content at scale.
Increases content production while improving quality standards.
Lowers operating costs by up to 70% through automation.
Works across platforms and languages with no additional resources.
Combines full automation with human editorial pre-moderations.
Metric | Before (Manual) | After (FAYFO) |
---|---|---|
Team | 6 rewriters + 1 editor | 2 rewriters + 1 editor |
Staff Costs | 5200 USD/month | 2500 USD/month (-50%) |
FAYFO Cost | 0 USD | 2000 USD/month |
News Volume | 100 per day (100%) | 150 per day (150%) |
Working Mode | Office hours only | 24/7 automation |
Publishing Speed | 15 min to several days | From 5 min after source |
Source Monitoring | Manual, selective | Automatic collection of hundreds of sources (Telegram, websites, RSS, government) |
Material Preparation | Manual rewriting | Auto-selection → prompt rewriting → tags → publishing |
Content Generation | None | Streams, author imitation, generation of headlines, subheadings, leads |
Used AI | N/A | ChatGPT-4.1, Gemini 2.5 Pro, Grok 4, DeepSeek, Claude API, Mistral API, etc. |
Image Work | Not generated | Auto-generation by topic/keywords |
Processing and Styling | Manual | Rewriting with context enrichment and style adjustment |
Exclusives | Monitored manually | Automatic monitoring and extraction |
Tags and Categories | Set manually | Auto-generation of tags, categories, matching with sections |
Integrations | Limited | Auto-posting, API integration, publishing schedules, admin ready materials |
Engagement / Traffic | Average level | 10× higher (Google Discover: due to tags, speed, unique images) |
Scalability | Limited by staff knowledge | Any language, any format; limited only by final review |
Dzen Traffic | 100% | +400% |
Case Comment |
This example is a case study of a medium-sized regional media outlet. Benefits for direct costs are not evident (costs remain comparable), however: - Content volume increases 1.5 times - Distribution speed grows several times - Quality of materials (context enrichment, photos, highlight selection, tag generation, headline creation) increases significantly Thus, the FAYFO mechanism enables a regional media outlet, given the quality of the site, to become a regional leader within 3-6 months, and for niche projects a leader in its topic. |
Aggregation and parsing of all news and article sources
AI-powered analysis and decision-making on relevance
Extracting meaning, generating ideas, detecting duplicates
Restructuring and rewriting with multiple AI models
Automated export and publishing to websites and social media
Let's transform content processing together