await runPipeline(sources, { blog: true, newsletter: true })

/** One tweet thread becomes a blog post, internal summary, and newsletter draft — automatically. */

how_it_works.md

⚙️ How It Works

Feed content sources

Point OpenClaw at your Twitter bookmarks, RSS feeds, YouTube channels, or paste raw notes. It monitors continuously.

AI processes and transforms

Summarizes threads, extracts key insights, rewrites content for different formats — blog post, newsletter section, social carousel.

Review and approve pipeline

Each output is staged for your review. Approve in bulk via Telegram or the dashboard. Set confidence thresholds for auto-publish.

Multi-channel distribution

Blog post → your CMS. Newsletter → Mailchimp/ConvertKit draft. Social → scheduled posts. All from one input.

IDENTITY.md

📝 Configuration

# IDENTITY.md for Content Pipeline

You are a content transformation specialist. You take raw 
source material (tweets, articles, notes) and create 
polished outputs for multiple channels.

## Output Formats
1. Blog Post: 800-1500 words, SEO-optimized, with headers
   Tone: professional but accessible, data-driven
2. Newsletter: 150-300 words, scannable, with one CTA
   Tone: casual, insider knowledge, conversational
3. LinkedIn: 100-200 words, hook-first, professional
4. Twitter/X: Thread of 5-8 tweets, punchy, with data

## Quality Rules
- Never fabricate statistics or quotes
- Always link to original source
- Maintain author's original opinion/angle
- Add context the original didn't include
- Include contrarian viewpoint when available

## Scheduling
- Monitor sources every 2 hours during business hours
- Batch outputs for daily review at 9 AM
- Auto-publish if confidence > 0.85 and template match

pipeline_run.log

🔄 Detailed Pipeline Flow

Input: Twitter thread by @AndrewNg (12 tweets)
"New benchmarks show GPT-5.4 vs Claude Opus 4.6..."

Step 1: Extract & Enrich (OpenClaw)
  → Source: twitter/bookmarks/AndrewNg_thread_20260315
  → Key claims: 5 extracted, 3 verified via linked papers
  → Missing context: EU AI Act regulatory implications
  → Added: Comparison table from arxiv.org/abs/2026.12345

Step 2: Generate Blog Post (1,247 words)
  Title: "AI Model Shootout 2026: GPT-5.4 vs Claude 4.6"
  Sections: Methodology | Results | Coding Tasks |
            Reasoning Tasks | Cost Comparison | Takeaways
  SEO: meta title, description, 3 internal links added
  → Saved to: drafts/blog/ai-model-shootout-2026.md

Step 3: Generate Newsletter Section (234 words)
  Hook: "The model wars heat up this week..."
  Key insight: Claude dominates coding, GPT leads reasoning
  CTA: "Read our full 1,200-word analysis →"
  → Saved to: drafts/newsletter/2026-w11-ai.md

Step 4: Generate LinkedIn Post (142 words)
  Hook: "We analyzed 847 benchmark runs across 15 tasks."
  Data point + contrarian insight + CTA to blog
  → Saved to: drafts/social/linkedin-ai-benchmarks.md

Step 5: Generate Twitter Thread (7 tweets)
  Tweet 1: Hook with surprising stat
  Tweet 2-5: Key findings with charts
  Tweet 6: Contrarian take
  Tweet 7: CTA + source credit
  → Saved to: drafts/social/twitter-ai-benchmark-thread.md

Pipeline complete. 4 outputs from 1 input.
Review: http://localhost:18789/pipeline/review

pipeline_example.md

💬 Pipeline Example

Input: Twitter Thread (12 tweets)

Thread about new AI model benchmarks, comparing GPT-5.4 vs Claude Opus 4.6 across reasoning tasks...

Output 1: Blog Post (1,200 words)

"AI Model Shootout 2026: GPT-5.4 vs Claude Opus 4.6" — structured comparison with methodology, results table, and takeaways.

Output 2: Newsletter Section

📊 This Week in AI: The model wars heat up. GPT-5.4 edges ahead on reasoning but Claude dominates coding tasks...

Output 3: LinkedIn Post

We benchmarked GPT-5.4 vs Claude Opus 4.6 across 15 reasoning tasks. Here's what surprised us... [thread]

📊 Results After 3 Months

Metric	Before	After	Change
Content pieces/week	3	12	↑ 300%
Time per piece	2.5 hours	15 min review	↓ 90%
Blog traffic (organic)	1,200/mo	4,800/mo	↑ 300%
Newsletter open rate	22%	31%	↑ 41%
Social engagement	Low	High	↑ ~200%

💰 Cost Analysis

Item	Monthly	Notes
OpenClaw (VPS)	$5	Hetzner CX22
Mailchimp	$0	Free tier (500 subs)
Buffer	$15	Social scheduling
Total	$20/mo	vs hiring writer: $2,000+/mo

❓ FAQ

Q1. Does the blog content need editing?

Yes, but 80% less. OpenClaw handles structure, SEO, and formatting. You add your unique voice and verify facts. Most pieces need 10-15 minutes of editing vs 2+ hours writing from scratch.

Q2. Can it handle non-English content?

Yes. Set output languages in IDENTITY.md. It can take English sources and output in Chinese, Japanese, or any supported language. Machine translation quality is 90%+ for most content types.

Q3. How do you handle copyright?

The pipeline transforms and adds analysis — it doesn't copy. Original source is always cited. Blog posts include unique analysis not in the original source. Think of it as research + writing, not plagiarism.

🧩 Skills Used

browser (web scraping)memory (context retention)file_write (CMS export)scheduler (cron-based monitoring)

🚀 Pair With

→ Social Media Manager

// Auto-distribute outputs to all platforms

→ Research Assistant

// Deep-dive research before content creation