Case study
DailyWorld MediaAI News Platform
Live at dailyworld.wiki with automated article pipeline
Automated AI newsroom with hourly publishing, Apple News–inspired reader UX, real-time admin ops, and production-grade SEO — built for DailyWorld Media.
Next.js 16 · React 19 · TypeScript · MongoDB · +6
- Client
- DailyWorld Media
- Year
- 2025
- Category
- Media & Publishing Platform
- Stack
- 10 technologies
Section
About the client
DailyWorld Media needed a modern news property that could publish at scale without a large editorial desk — combining AI-assisted generation with human oversight and a reader experience that feels premium on mobile and desktop.
Section
The challenge
- Automate hourly news creation without sacrificing readability or SEO
- Admin team requires full control: categories, site settings, manual edits
- Real-time visibility into AI jobs and publishing activity
- Production deployment with caching, sitemaps, RSS, and security
Section
Our approach
- AI pipeline design with Gemini for drafts, summaries, and categorization
- Apple News–inspired reader UI with dark mode and bento layouts
- Admin dashboard with Socket.IO live logs and TipTap rich editing
- DevOps: Docker multi-stage builds, Nginx reverse proxy, PM2
Section
The solution
DailyWorld.wiki combines automated ingestion (RSS + AI), image optimization, hero sliders, category pages, and a secured admin CMS. Editors can CRUD articles, tune SEO metadata, and monitor generation in real time. Public site ships with Google News sitemap, Open Graph tags, and schema.org structured data.
Section
Outcomes
- Fully automated newsroom capable of hourly publishing cycles
- Lighthouse-focused frontend (sub-2s loads target, mobile-first)
- Role-protected admin with XSS-safe HTML sanitization
- Containerized stack ready for production hosting
Section
Stack
Next.js 16 · React 19 · MongoDB · Google Gemini · Socket.IO · NextAuth · Docker · Nginx
Gallery
Screens & flows from the build
Product UI, admin views, and implementation snapshots from this engagement.