DC 2100 APEX OS
AI-assisted content intelligence, creative production, publishing, and analytics operating system for the DC 2100 universe.
Mission
Build a repeatable content growth engine:
SOURCE WATCH
→ VIRAL SCAN
→ FILTER
→ RANK
→ ANALYZE
→ DC 2100 TRANSFORM
→ CONTENT PACK
→ CEO APPROVAL
→ MANUAL VIDEO GENERATION
→ DASHBOARD UPLOAD
→ YOUTUBE PUBLISH
→ ANALYTICS RETURN
→ WINNER REINFORCEMENT
→ YPP PROGRESS TRACKING
MVP Architecture
Source Control and Development
- GitHub
- GitHub Codespaces
- GitHub Actions
Frontend
Backend
- Railway APEX API
- Railway APEX Worker
- Railway Cron Jobs
Database
File Storage
Automated AI
High-Value Manual AI
Manual Video Generation Pool
MVP does not automate video generation through APIs.
Primary Distribution
Additional social platforms are Phase 2.
AI Responsibility Split
Gemini API
Primary responsibilities:
- large-volume signal analysis
- viral structure analysis
- first-pass classification
- batch news analysis
- first-pass DC 2100 transformation
- high-volume low-cost filtering
OpenAI API
Primary responsibilities:
- high-value candidate reasoning
- DC 2100 transformation QA
- script generation
- Hook variants
- political satire calibration
- prompt QA
- structured Creative Pack generation
ChatGPT Plus
Primary responsibilities:
- CEO decision support
- Canon review
- high-risk topic judgment
- manual viral candidate review
- strategy analysis
- analytics interpretation
- final Script and Prompt QA
Repository Structure
apps/
dashboard/
api/
functions/
scanner/
analyzer/
transformer/
publisher/
jobs/
worker/
prompts/
analyzer/
transformer/
script/
video/
docs/
schemas/
Service Model
Netlify
Runs:
- Next.js Dashboard
- CEO review interface
- Signals UI
- Candidates UI
- Creative Packs UI
- Generation Queue UI
- Publish Queue UI
- Analytics UI
- YPP Mission Control UI
Railway APEX API
Runs:
- Dashboard API
- Candidate API
- Creative Pack API
- Generation Result API
- QA API
- Publisher API
- Analytics API
Railway APEX Worker
Runs:
- Source Watch
- Viral Scanner
- Batch Analyzer
- DC 2100 Transformer
- Analytics polling
- Metric snapshots
- scheduled background tasks
Railway PostgreSQL
Stores:
- sources
- signals
- contents
- creative_packs
- videos
- posts
- metric_snapshots
- vehicles
- countries
MVP Objective
Launch the APEX OS Short Engine MVP within 14 days.
Primary success criteria:
- Automatically discover candidate viral signals.
- Transform signals into DC 2100-compatible concepts.
- Generate usable Scripts, Prompts, and Metadata.
- Support a fast human video-generation loop.
- Publish content and return analytics into the system.
- Track YouTube Partner Program progress and growth velocity.
MVP Principle
Automate intelligence before automating expensive generation.
The MVP automates:
- discovery
- analysis
- transformation
- Creative Pack generation
- publishing coordination
- analytics return
The MVP keeps video generation human-controlled.
