Social MediaContent Creation
TikTok content pipeline running on autopilot
Trending content discovered, edited, and scheduled without manual work
10x
Content output
85%
Time saved
2.5x
Engagement rate
System Architecture
Before
- ✕Hours spent scrolling for content ideas
- ✕Manual video editing for each post
- ✕Inconsistent posting schedule
- ✕Missing trending sounds and formats
- ✕No data on what content performs
After
- Trending content identified automatically
- Videos edited and formatted for platform
- Consistent daily posting schedule maintained
- Trending audio and hashtags applied
- Performance data drives content decisions
What Was Built
- Trend monitoring and content discovery system
- Automated video editing pipeline
- Caption and hashtag generation with AI
- Scheduled posting across time zones
- Performance analytics and reporting
- Content library management
- Competitor tracking and analysis
Tech Stack
Python
OpenAI
FFmpeg
Airtable
Guardrails & Reliability
- Human review before final publish
- Copyright check on audio tracks
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