I wanted to share a project I've been building: Mesin Cuan Viral Architect — a fully automated YouTube content pipeline.
What it does:
Discovers trending topics, writes scripts with dual parallel AI, generates TTS voiceover, fetches B-roll footage, renders cinematic video via FFmpeg, and uploads to YouTube — all autonomous, 24/7.
The secret sauce — Dual Parallel AI Scripting:
Most AI content tools use a single LLM → generic output. Mesin Cuan runs Qwen + Ollama simultaneously, then they cross-score each other to eliminate AI slop before production. The higher-scoring script wins.
12-engine pipeline:
- Viral Loop Engine — real-time trend detection
- Dual Parallel AI — Qwen + Ollama cross-scoring
- Script Quality Scorer — multi-dimensional validation
- Hook Engine — auto-injects high-retention openers
- Memory Engine — never repeats content
- Research Engine — web research before scripting
- Series Engine — auto-generates multi-part content
- Neon Visuals — cinematic FFmpeg rendering
- Smart SFX Mixer — niche-aware sound effects
- Thumbnail Intelligence — AI-driven CTR optimization
- OAuth2 Analytics — per-channel retention dashboard
- Pipeline Estimator — ETA prediction for batch renders
Why I built this:
I was spending 8+ hours editing a single video. Hiring editors was too expensive and existing AI tools produced generic content. So I built my own video factory.
Tech stack: Python 3.11 + FFmpeg + Ollama + Qwen + F5-TTS
Quick start (only needs Ollama + FFmpeg):
git clone https://github.com/algojogacor/mesin-cuan.git
cd mesin-cuan
python main.py --channel ch_id_horror --skip-qc
Repo: https://github.com/algojogacor/mesin-cuan
MIT License — free to use, modify, distribute. Built solo at 18.
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