On-chain applications frequently encounter performance bottlenecks when operations compete within a unified state space—turning latency into pure chance. A meaningful approach to resolving this involves rethinking the execution layer itself. By partitioning state on a per-workload basis and establishing clear interaction boundaries, parallel processing becomes viable without compromising consistency. This architectural shift fundamentally changes how apps can scale and respond to concurrent demands.