Where raw inputs become readable intelligence.
This project turns scattered information streams into an autonomous news and insights engine. It continuously collects data from APIs, Telegram, Discord, and RSS feeds, then processes it through automation workflows and LLM-powered summarization. Instead of manually tracking updates, the system aggregates, filters, summarizes, and publishes content automatically on a schedule.
n8n workflow engine orchestrating data collection from multiple sources (APIs, Telegram, Discord, RSS), processing through LLM pipelines, and distributing through automated channels.
Rate limiting across multiple APIs
Handling duplicate content
LLM context management
Real-time processing at scale
Workflow orchestration patterns
Multi-source data normalization
LLM integration and prompt engineering
Event-driven architecture
Automation Engineer & DevOps Specialist
Designed and implemented enterprise-grade infrastructure that scales reliably, meets production requirements, and demonstrates best practices in DevOps and cloud engineering.
Let's discuss how to apply these DevOps and infrastructure patterns to your needs.