Feature Internals
This section is for contributors who want to understand how complex built-in Murali features are structured internally.
These pages are intentionally different from the user-facing tattva docs.
User-facing docs focus on:
- what the feature does
- how to use the public API
- examples and authoring patterns
Feature internals focus on:
- internal data model
- render strategy
- animation and state flow
- extension points
- limitations and tradeoffs
These pages do not belong in the core Architecture section because they are not engine-wide internals. They are higher-level systems built on top of the core architecture.
What Lives Here​
This section is a good fit for features that:
- have a meaningful internal model of their own
- are more complex than a simple primitive tattva
- benefit from contributor-oriented explanation
Current pages:
As Murali grows, this section is also a good home for contributor deep dives on features like:
- agentic flow chart
- transformer block diagrams
- advanced storytelling tattvas
- AI teaching templates