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.
- Client
- DailyWorld Media
- Year
- 2025
- Discipline
- Media & Publishing Platform
- Live at
- dailyworld.wiki
What shipped
Gemini-powered generation, categorization, and image sourcing
Admin CMS with TipTap editor and live generation logs
Docker + Nginx deployment with sitemaps and structured data
Chapter 01
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.
Chapter 02
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
Chapter 03
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
Chapter 04
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.
Chapter 05
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
Built with
Gallery
Screens & flows from the build
Product UI, admin views, and implementation snapshots from this engagement.
What's next
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