OpenClaw Content Engine 🚨

4d (edited) • 🛠️ Tool Reviews & Tutorials

🚀 I just launched my Content Machine on Claw Mart

i just released the exact AI system i use to manage my whole content pipeline

Content Machine v1.2 is a battle-tested AI content pipeline built from 40+ days of real production use running an actual YouTube channel. It operates daily: scraping trends, writing video scripts in YOUR voice, generating thumbnails with YOUR face, publishing X posts, writing SEO blogs, cutting short-form clips, and delivering a weekly newsletter. All while you sleep.

NEW in v1.2: Self-Improving Feedback Loops. Content Machine now learns what works and adapts automatically. A YouTube Performance Eval agent analyzes your video metrics every week (via YouTube API) and writes recommendations that Script Writers read before generating new content. An X Performance Eval does the same for your X posts (from a free 15-second CSV download). By week 4, your AI content team is writing based on proven patterns from YOUR audience, not generic best practices.

Your content gets smarter every single week.

Proven Results:

$2,500 MRR generated in 6 days
3,700+ YouTube subscribers
1,000s of views per hour
71 paying community members
4 YouTube videos scripted per day (1,800+ spoken words each)
5 X posts published daily
12 thumbnails generated daily
Daily SEO blog posts driving organic traffic

Everything Included (one purchase, no upsells):

10 AI Agents (fully configured cron templates):

Intel Agent: scrapes Reddit, X, YouTube, Hacker News for trending topics daily
Script Writer 1 + 2: 4 YouTube scripts per day in YOUR voice (1,800+ words, mandatory self-check)
X Post Generator: 5 daily posts using proven viral hook frameworks
Thumbnail Generator: 3 AI thumbnail variants per video with YOUR face + brand logos
Blog Writer: daily SEO blog with meta descriptions, keywords, video embeds (HTML output)
Clip Factory: auto-extracts highlights every 4 hours, burns MrBeast-style captions
Newsletter Writer: weekly roundup in your voice
YouTube Performance Eval: weekly analysis of video metrics, writes content-performance.md
X Performance Eval: weekly analysis of X post metrics, writes x-performance.md

Self-Improving Feedback Loops:

YouTube loop: Performance Eval pulls video stats via API -> writes what works -> Script Writers adapt titles, hooks, topics -> next week the data shows what improved -> repeat
X loop: Download CSV (15 sec) -> Performance Eval classifies posts by hook type and topic -> writes what works -> X Posts agent adapts -> repeat
Hook type classification: numbers-flex, personal-story, bold-claim, contrarian, question, news-take, cta-post, motivational
By week 4, both loops have enough data to meaningfully improve your content quality

Content Machine Dashboard (full Next.js app):