The architecture design here reveals something fundamental: AI isn't bolted on as an afterthought. Instead, it's baked into the infrastructure from day one.

Here's how it works. The system maintains EVM compatibility while distributing the workload across specialized layers. Inference, storage, and data access each run on their own node tier. Full nodes handle traditional chain validation, while dedicated inference nodes execute AI models directly on-chain.

This approach fundamentally changes how we think about on-chain AI. Rather than treating it as a separate concern, it becomes part of the network's core DNA.