DATA OPERATIONS
Moon Oracle System
Automated lunar intelligence platform combining real-time data, AI interpretation, and structured content delivery
Moon Oracle is a fully automated lunar intelligence system that transforms external astronomical and astrological data into structured, human-centered content through a five-layer architecture.
THE PROBLEM
Daily reflection and journaling systems are manual and inconsistent
Content systems lack real-time data integration
AI tools generate insights without verified data, leading to hallucinations
No unified system to ingest, normalize, enrich, and deliver structured content
THE SOLUTION
- Built five-layer automated pipeline: Ingestion → Normalization → Orchestration → AI Enrichment → Delivery
- AI used strictly as interpretation layer on verified data, not as data source
- Structured outputs delivered into Notion for long-term pattern tracking
SYSTEM ARCHITECTURE
2 Components
- Astronomy API → Moon phase, illumination, rise/set times
- Astrology API → Moon sign, zodiac degree, planetary positions
SYSTEM VISUALS
WORKFLOW FLOW
IMPLEMENTATION STEPS
- 1.Design five-layer system architecture
- 2.Build data ingestion from Astronomy + Astrology APIs
- 3.Create normalization and validation logic
- 4.Implement n8n automation orchestration
- 5.Integrate OpenAI as interpretation layer
- 6.Configure Notion delivery with templates
- 7.Deploy automated daily triggers
IMPACT & RESULTS
Operational Impact
- Eliminated manual daily content creation
- Reduced cognitive load on journaling
- Automated reflection workflows
System Impact
- Unified multiple data sources into single pipeline
- Built deterministic + AI hybrid model
- Created long-term intelligence memory
Product Impact
- Designed product-ready architecture
- Created reusable automation framework
- Enabled multiple deployment models