AI Newsletter Curation
Fetch, deduplicate, and rank AI newsletter content into a daily digest.
RSS Sources
- TLDR AI:
https://bullrich.dev/tldr-rss/ai.rss - The Rundown AI:
https://rss.beehiiv.com/feeds/2R3C6Bt5wj.xml
Workflow
- Check cache: Look for
50_资源/Newsletters/YYYY-MM/YYYY-MM-DD-摘要.md. If exists with today's date, return cached content. - Fetch feeds: Use WebFetch on both RSS URLs. Extract title, link, pubDate, description for each item.
- Deduplicate: Merge items with similar titles (80%+ word overlap). Keep longer description, track both sources.
- Rank items by:
- AI relevance (LLM, GPT, Claude, agents, ML keywords) - Productivity relevance (workflow, automation, tools, PKM) - Recency (newer = higher) - Novelty (check recent archives, penalize repeats)
- Generate digest: See TEMPLATE.md for format. Include:
- 精选推荐 (3-5 highest scoring) with content creation angles - AI动态 section - 生产力工具 section - Stats footer
- Save files:
- 50_资源/Newsletters/YYYY-MM/YYYY-MM-DD-摘要.md (curated) - 50_资源/Newsletters/YYYY-MM/原始数据/YYYY-MM-DD_TLDR-AI-Raw.md - 50_资源/Newsletters/YYYY-MM/原始数据/YYYY-MM-DD_Rundown-AI-Raw.md
Output Format
Manual invocation: Display full digest with all sections.
From /start-my-day: Return condensed list:
**内容机会 (5):**
- [标题] - [角度]
...
完整摘要: [[YYYY-MM-DD-摘要]]Error Handling
- One feed down: Continue with other, note in digest
- Both down: Use yesterday's archive with warning
- Empty feeds: Create minimal digest noting "今日无新内容"