ai content engine
fully autonomous content pipeline — analyzes engagement, generates posts, schedules across 6 platforms. gets smarter every night.
get started
clone the repo
git clone https://github.com/joshchoi4881/dropspace-openclaw && cd dropspace-openclaw/content-pipelineinstall dependencies
npm installrun the setup wizard
node setup.js --template ai-content-engineplatforms
about
the core dropspace automation pipeline. every night, an LLM agent pulls analytics for all recent posts, scans X/Twitter for trending hooks in your niche, analyzes what's working vs what isn't, generates new posts with complete content (slideshows, text, captions), writes strategy notes that persist between runs, and schedules everything via dropspace. the feedback loop compounds — each cycle produces better content because it learns from real engagement data. supports 10+ content formats across visual (TikTok/Instagram slideshows), text (Twitter/LinkedIn/Reddit/Facebook), and video. the LLM owns all strategic decisions: which formats to use, what hooks to try, when to kill underperforming experiments.
how it works
every night at 1 AM: pulls 14 days of post metrics → identifies winning hooks → generates 7-14 new posts per platform → schedules via dropspace → reports to your messaging channel. next night: repeats with fresh data.
features
- self-improving analytics loop
- 10+ content formats (larry, meme, jack-friks, ugc, video)
- X/Twitter research integration
- correlation engine (auto-detects engagement patterns)
- format experiments with activate/kill/graduate lifecycle
- cross-platform strategy notes
- pluggable image providers (fal.ai, replicate, openai)
- multi-app support (one engine, many products)
requirements
- •dropspace account + API key
- •openclaw agent runtime
- •anthropic API key
- •image generation API key (fal.ai, replicate, or openai)
- •node.js 18+
ready to try it?
clone the repo, run the setup wizard, and have autonomous content posting within 10 minutes.
node setup.js --template ai-content-engineview on github