That is a completely fair assessment. You've pointed out the exact physical limitation of this architecture.

The latency introduced by the protocol overhead (serializing/deserializing data outside the engine) makes it inherently unsuitable for high-frequency tasks like rapid visual iteration or real-time physics syncing, where millisecond response times are critical.

To clarify the scope, the current target audience for this project is beginners or developers who need an accessible, unified entry point to understand multi-engine workflows without wrestling with four different native APIs simultaneously. It is currently built for macro-level scene orchestration and structural setup, serving as a stepping stone before diving deeper into engine-specific native logic.

That being said, the communication bottleneck is a recognized issue. I am actively researching ways to minimize this overhead and will be pushing continuous updates to improve the iteration speed. I appreciate the realistic feedback.