---
name: orbites-ai-newsletters
description: Curate daily AI, Online Marketing, SEO, and AI×Marketing Research news digest. For OrbitOS. Use when user says 'AI news', 'marketing news', 'SEO news', 'newsletter digest', 'what's new in AI', 'ข่าว AI', 'ข่าว marketing', 'สรุปข่าว'.
---
# OrbitOS: Daily News Digest — AI · Marketing · SEO · Research

Fetch, deduplicate, and rank news from 5 curated topic areas into a daily digest saved to the OrbitOS vault.

## Source Configuration

### 🔵 AI News
| Source | URL | Type |
|--------|-----|------|
| TLDR AI | `https://bullrich.dev/tldr-rss/ai.rss` | RSS |
| The Rundown AI | `https://rss.beehiiv.com/feeds/2R3C6Bt5wj.xml` | RSS |

### 🟢 Online Marketing
| Source | URL | Type |
|--------|-----|------|
| Marketing AI Institute | `https://www.marketingaiinstitute.com/blog/rss.xml` | RSS |
| HubSpot Marketing | `https://blog.hubspot.com/marketing/rss.xml` | RSS |
| Search Engine Land | `https://searchengineland.com/feed` | RSS |

### 🟡 SEO
| Source | URL | Type |
|--------|-----|------|
| Search Engine Journal | `https://www.searchenginejournal.com/feed/` | RSS |
| Ahrefs Blog | `https://ahrefs.com/blog/feed/` | RSS |
| Semrush Blog | `https://www.semrush.com/blog/feed/` | RSS |
| Moz Blog | `https://feedpress.me/mozblog` | RSS |
| Neil Patel | `https://neilpatel.com/blog/feed/` | RSS |

### 🟣 Marketing & AI Research
| Source | URL | Type |
|--------|-----|------|
| arXiv (AI + marketing) | `https://export.arxiv.org/api/query?search_query=all:marketing+AND+all:AI&sortBy=submittedDate&sortOrder=descending&max_results=10` | API |
| Web search | Execute: `web_search("AI marketing research 2026 generative AI")` + `web_search("marketing AI agent study 2026")` | Search |

## Workflow

1. **Check cache**: Look for `50_Resources/Newsletters/YYYY-MM/YYYY-MM-DD-Digest.md` (relative to vault root). If exists with today's date, return cached content.

2. **Fetch feeds** (see Provider Fallbacks for exact curl commands):
   - RSS sources: Use `curl` via terminal on each URL. Parse title, link, pubDate, description from XML. Fall back to `web_extract` if configured.
   - arXiv: Use `curl` on the API URL. Parse `<entry>` elements.
   - Web search: Run via `web_search` if configured; otherwise skip this section.

3. **Classify each item** into topic buckets:
   - `ai` — LLMs, GPT, Claude, agents, ML, AI tools
   - `marketing` — digital marketing, paid ads, content strategy, brand, B2B marketing
   - `seo` — search rankings, Google updates, SERP features, technical SEO, GEO
   - `research` — academic papers, studies, surveys, reports with data/statistics

4. **Deduplicate**: Items with 70%+ title word overlap across sources → merge into one entry tracking all source URLs.

5. **Rank within each bucket** by:
   - Relevance to the topic cluster
   - Content creation potential (can I write a post about this?)
   - Novelty (penalize if similar item in recent archives)
   - Recency

6. **Generate digest** — bilingual Thai/English:

```markdown
# 📰 Daily Digest — YYYY-MM-DD

## 🔵 AI — Top 3
- **[Title]** — 1-line summary. [Source]
  → *Angle:* content idea in Thai
...

## 🟢 Online Marketing — Top 3
...

## 🟡 SEO — Top 3
...

## 🟣 Marketing & AI Research — Top 2
...

## 💡 Content Creation Opportunities
Top 5 across all buckets ranked by post potential:
1. ...
```

7. **Save files** (all paths relative to vault root):
   - `50_Resources/Newsletters/YYYY-MM/YYYY-MM-DD-Digest.md` — curated digest
   - `50_Resources/Newsletters/YYYY-MM/Raw/` — raw extracted content per source if substantial

8. **Curate high-value articles → migrate to 30_Research/**
   - After generating the digest, scan Content Creation Opportunities and related articles
   - For each article worth keeping for future content creation:
     1. Copy/save as `30_Research/<slug-title>.md` with frontmatter `type: article` + source URL
     2. Remove from `Raw/` folder (don't keep raw dumps there long-term)
     3. Add a note in the Research file linking back to the digest
   - The user confirmed this: **`Raw/` = processing cache, `30_Research/` = permanent collection**
   - Pitfall: Don't let Raw/ accumulate — it's a temp folder, not an archive
   - See `references/article-curation-workflow.md` for the full process

## Output Format

**Manual invocation (user asks directly):** Display full digest with all 4 topic sections + content opportunities.

**From start-my-day cron (07:00):** Return condensed list:
```
**📰 Morning Briefing:**
🔵 AI: [N items] — top headline
🟢 Marketing: [N items] — top headline
🟡 SEO: [N items] — top headline
🟣 Research: [N items] — top headline
Full digest: [[YYYY-MM-DD-Digest]]
```

## Provider Fallbacks

`web_extract` and `web_search` may be unavailable (no provider configured). **Primary approach is `curl` via terminal.** Only use `web_extract`/`web_search` if they return data.

### Fetch commands (preferred — curl + terminal)

```bash
# RSS feeds: curl + parse XML inline
curl -sL --max-time 15 "https://bullrich.dev/tldr-rss/ai.rss" | head -500
curl -sL --max-time 15 "https://rss.beehiiv.com/feeds/2R3C6Bt5wj.xml" | head -500
curl -sL --max-time 15 "https://www.marketingaiinstitute.com/blog/rss.xml" | head -500
curl -sL --max-time 15 "https://blog.hubspot.com/marketing/rss.xml" | head -500
curl -sL --max-time 15 "https://searchengineland.com/feed" | head -500
curl -sL --max-time 15 "https://www.searchenginejournal.com/feed/" | head -500
curl -sL --max-time 15 "https://ahrefs.com/blog/feed/" | head -500
curl -sL --max-time 15 "https://www.semrush.com/blog/feed/" | head -500
curl -sL --max-time 15 "https://feedpress.me/mozblog" | head -500
curl -sL --max-time 15 "https://neilpatel.com/blog/feed/" | head -500

# arXiv API (XML — parse <entry> elements)
curl -sL --max-time 15 "https://export.arxiv.org/api/query?search_query=all:marketing+AND+all:AI&sortBy=submittedDate&sortOrder=descending&max_results=10" | head -300

# For truncated large feeds, extract titles only:
curl -sL --max-time 15 "https://rss.beehiiv.com/feeds/2R3C6Bt5wj.xml" | grep -o '<title>[^<]*</title>' | head -15
```

## Source Health Notes

| Source | Status | Note |
|--------|--------|------|
| TLDR AI | ✅ Active | `bullrich.dev/tldr-rss/ai.rss` — reliable, rich descriptions |
| The Rundown AI | ✅ Active | `rss.beehiiv.com` — HTML entities in titles (`&#39;`), use grep for title extraction if truncated |
| Marketing AI Institute | ✅ Active | Blog posts weekly, HubSpot-hosted |
| HubSpot Marketing | ✅ Active | Very large feed, head -500 sufficient for recent items |
| Search Engine Land | ✅ Active | WordPress RSS, standard format |
| Search Engine Journal | ✅ Active | WordPress RSS, frequent updates |
| Ahrefs Blog | ✅ Active | Fresh content, enterprise SEO focus |
| Semrush Blog | ✅ Active | Data-driven SEO, frequent posts |
| Moz Blog | ✅ Active | **Fixed in June 2026** — URL changed from `moz.com/blog/feed` → `feedpress.me/mozblog` |
| Neil Patel | ✅ Active | Marketing + SEO insights, daily posts |
| Google Search Central | ❌ Permanently broken | `developers.google.com/search/blog/feed` 404 — blog discontinued/unhosted as of 2026 |
| arXiv API | ✅ Active | XML Atom feed, parse `<entry>` elements |
| Web Search | ⚠️ Config-dependent | Requires `web.search_backend` configured via `hermes tools` |

## Cron Mode Constraints

- **`execute_code` is BLOCKED in cron mode.** Use individual `terminal` calls instead. Batch parallel `curl` fetches as separate tool calls in one response.
- **`web_search` and `web_extract` may be unavailable** if not configured at the profile level.
- When a tool fails with "No provider configured", silently fall back to `curl` + `terminal` — do not abort.

## Content Creation Bridge

After generating the digest, the user may ask to write articles from the news items. When doing so, follow the **Research-First** approach documented in `references/news-to-article.md`.

### Research-First: News → Article Pipeline

1. **Identify the source articles** linked in each news item — don't write from the digest summary alone
2. **Read the original source articles** — use `curl -sL --max-time 20` with `python3 -c` for HTML text extraction; fall back to `browser_navigate` for Cloudflare/Vercel-protected sites
3. **Extract key data**: specific numbers, quotes, mechanisms, and causal relationships
4. **Synthesize multiple sources** into a coherent single narrative — don't just restate one article
5. **Write in Thai** with:
   - 📌 "Takeaway" callout boxes per section (labeled by topic, e.g. "GEO Takeaway", "Content Strategy Takeaway")
   - Data tables with comparison columns and emoji indicators (✅/❌/🟢/🟡/🔴)
   - A summary table of actionable takeaways at the end (with bulletproof reasoning column)
   - Source citations at the bottom linking back to originals
6. **Save article** to `~/vault/60_Articles/<slug>/article.md` with title/description/date/category/tags in frontmatter
7. **Save brief** — optionally create a brief.md in the same 60_Articles/<slug>/ directory with the research notes and source summaries

### Research fallback handling

When `web_extract` and `web_search` have no provider configured (common in this profile):

- **Generic HTML articles**: `curl -sL --max-time 20 "<URL>" | python3 -c "import sys,re; html=sys.stdin.read(); html=re.sub(r'<script[^>]*>.*?</script>', '', html, flags=re.DOTALL); html=re.sub(r'<style[^>]*>.*?</style>', '', html, flags=re.DOTALL); text=re.sub(r'<[^>]+>', ' ', html); text=re.sub(r'\s+', ' ', text).strip(); print(text[:15000])"`
- **Sites with article tag**: Target `<article>` element specifically: `re.search(r'<article[^>]*>(.*?)</article>', html, re.DOTALL)` then strip tags
- **Cloudflare/Vercel blocked sites**: Fall back to `browser_navigate` + `browser_snapshot(full=true)` or browser_scroll for longer articles
- **VentureBeat**: Known to have Vercel security checkpoint; always use browser tools (curl won't work)
- See `orbites-ai-products` skill for the HN Algolia API and GitHub Search API curl patterns

### Thai content conventions

- Title: Hook-driven, ≤ 60 chars, includes curiosity gap or contrarian claim
- Opening paragraph: Hook that breaks reader expectation (not throat-clearing)
- Structure per section: Data table → explanation paragraph → 📌 Takeaway box
- End with: "ที่มา:" section listing all source articles as markdown links
- Avoid: generic "ในโลกดิจิทัลวันนี้" openings, artificial FAQ, keyword stuffing

## Error Handling

- One source down: Skip, note in section header "(1 source unavailable)"
- All sources in a topic down: Show "⚠️ No new items today" for that section
- All sources down: Use yesterday's digest with warning
- arXiv returns empty: Skip research section gracefully
- Web search rate-limited: Use cached web results or skip
- Terminal output truncated (>50KB): Use `grep` to extract key fields (titles, links)
- Google Search Central 404: Skip silently, note in source summary
- Moz stale: Skip entirely unless user asks for historical SEO content