Structured Intelligence
Metadata drives everything on the platform, enabling 85% of the code to be auto-generated.
Overview
Metadata runs everything on this platform—whenever a new feature is identified, it’s abstracted into structured intelligence.
- Even the public-facing website** is largely metadata-driven. - New elements** are eventually converted into structured data models. - The RAG Agent** relies on this metadata foundation to navigate and generate insights.
The goal? Eliminate hardcoding, maximize automation, and let metadata handle the heavy lifting.
Key Goals:
Turn everything possible into structured data—minimizing the actual lines of code either **ChatGPT or I write.
Make metadata the source of truth, so updates flow **seamlessly across the platform.
Ensure the system remains adaptable—new features should be **abstracted, not hardcoded.
Complexity: High
Components
The Data Dictionary from Mordor
A single Google Sheet that manages, feeds, and drives the entire platform.
SOARL Summary
Needed a centralized way to define the platform’s structure.
{“This one Google Sheet serves as”=>[“The source of truth for key data tables.”, “The blueprint for code generators.”, “The driver behind UI components, lookup data, and configuration settings.”]}
Code generators require precision—tiny inconsistencies in metadata **cause issues across multiple systems.
Different components (DDL column names, Django fields, filters, views, data loaders) have subtle variations, requiring careful metadata structuring.
{“Structured the metadata intelligently”=>[“Instead of **trying to reuse a field in 50 different ways, I created variations tailored to each use case.”, “This made debugging easier—if a generator for a view breaks, I only need to adjust a specific metadata subset, without disrupting everything else.”]}
A massive but highly structured spreadsheet that orchestrates the platform flawlessly.
Don’t be afraid of metadata complexity—focus on the value it produces.**
If structured correctly, metadata makes development faster, easier, and more scalable.**
Situation:
Obstacle:
Action:
Result:
Learning:
Key Learnings
- Automation is only as good as the metadata behind it—get the structure right, and everything flows smoothly. - Metadata-driven development eliminates redundancy—it keeps the system adaptable and scalable. - A well-organized data dictionary is more powerful than pages of manually written code.**
Demos
Final Thoughts
Metadata is the foundation of automation.
With structured intelligence at the core, the platform isn’t just functional—it’s self-sustaining and infinitely adaptable. 🚀