CASE STUDY 01 / AI & MEDIA AUTOMATION
Finding the brighter side of the news.
An AI-powered editorial automation platform designed to discover, evaluate, verify and prepare positive news for social media.
THE PRODUCT

Custom-built editorial dashboard for content review, management and publishing.
Behind the Automation
NewsGlow connects multiple automated workflows into one editorial system. AI-assisted news discovery, verification, content generation and publishing work together through a structured architecture.
Layer 01
Collect potential stories from news sources.
AI identifies relevant, positive news.
Check sources and eliminate duplicates.
Prepare branded content and assets.
Layer 02
Structured storage for editorial content, source verification, generated assets and publication status.
A custom-built React interface for reviewing stories, managing content and controlling publication.
Content is reviewed before publication. Automation handles repetitive work while editorial decisions remain under human control.
Layer 03
Routes approved content to the appropriate publishing workflow.
Multi-slide social media posts
Vertical Instagram Stories
Branded content delivered to connected channels.
Simplified architecture overview — implementation details intentionally omitted.
The Final Product
The final result of NewsGlow's editorial automation is published as branded social media content. Explore an interactive preview of the NewsGlow Instagram experience.

NewsGlow DE | Positive Nachrichten
🌍 Die Welt hat auch gute Nachrichten.
✨ Täglich positive News & echte Fortschritte.
💛 Mehr Hoffnung. Weniger Negativität.
Interactive portfolio preview using NewsGlow content.
THE CHALLENGE
01 / The Problem
Discovering meaningful positive news requires searching multiple sources, identifying duplicate coverage, verifying information and preparing content for publication.
Repeating this process every day makes consistent content production time-consuming and difficult to scale.
02 / The Solution
NewsGlow combines automated news collection, AI-assisted editorial selection, source verification and content preparation into a connected workflow.
The architecture is designed to support repeatable daily production and future expansion into additional markets.
ENGINEERING DECISIONS
Multiple publishers often cover the same event. Event-based identifiers and source normalization help reduce duplicate stories before publication.
Automated extraction and source matching provide additional checks before content is accepted into the editorial pipeline.
The system must handle incomplete results, missing sources and situations where fewer than the required number of stories pass verification.
Reusable workflows, structured data and modular rendering components provide a foundation for future language and country-specific editions.
THE OUTCOME
NewsGlow brings together AI, workflow automation, application development and social media publishing into one connected platform.
01 / AI & Automation
Automated news discovery, AI-assisted editorial selection, source verification and content preparation.
02 / Application Development
A React-based editorial workspace connected to Supabase for content review, approval and publication management.
03 / API Integration
Dedicated publishing workflows connect approved content to Instagram Carousels and Stories.
04 / System Architecture
Modular workflows, structured data and reusable components designed to support future countries and languages.
NewsGlow is an evolving project that demonstrates how different technologies can be combined to solve real-world challenges through practical software.