Automated Newsletter & Content Distribution Workflow
Automatically curates international news, generates audience-specific Japanese newsletters, note articles, and blog posts, then distributes across all channels.

Note: Service names, images, and figures in this case study have been replaced with fictional equivalents for portfolio purposes. They differ from the actual project.
Project Overview
We built an n8n workflow that automatically curates the latest international tech and business news, generates tailored Japanese content for different audience segments (newsletters, note articles, blog posts), and distributes them across all channels.
Client Challenges
- Weekly newsletter writing took 3–4 hours each time
- Keeping up with international news and adapting it to Japanese was a major burden
- The team wanted to publish the same theme in different formats across newsletter, note, and blog, but lacked the bandwidth
- Content needed to be tailored for different audiences (executives, engineers, marketers)
Solution
Automated News Curation & Selection
- Automatic retrieval of latest news from major international media RSS feeds
- LLM-powered relevance scoring for each audience segment, with automatic topic selection
Audience-Specific Content Generation
- From the same source news, generates content with different angles, depth, and tone per audience
- Executives: business impact-focused summaries
- Engineers: technical details and implementation implications
- Marketers: market trends and actionable insights
Multi-Channel Auto-Distribution
- Newsletter: automatic draft submission and scheduled delivery via email platform
- note: draft creation via API, published after review
- Blog: automatic posting via WordPress API
Results
- Content creation time reduced from 4 hours to 30 min (including review) per week
- Distribution channels expanded from 1 to 3 with no additional workload
- Audience-specific open rates improved by 25% on average
Timeline
Approx. 3 weeks
Category
AI & Automation
Duration
Approx. 3 weeks
Published
2026-01-10
Tech Stack


