A long-term underestimated factor that determines the ceiling of on-chain applications is that the true limitation on system scalability is not consensus efficiency or block space, but the cost structure of verifiable computation. @codexero_xyz addresses this issue at its core by migrating high-complexity calculations off-chain and then using zero-knowledge proofs to return the results on-chain for verification. This completely decouples execution from trust, which have long been intertwined. On-chain, only correctness needs to be verified, eliminating the high costs associated with each computational step. The significance of this architecture is that it does not trade security for performance; instead, it significantly enhances the system’s capacity to handle complexity under the same security assumptions. For multi-layer DeFi strategies, automated liquidation logic, composable protocols, and even future AI-driven contracts, this verifiable computation model opens new dimensions in design space and allows on-chain applications to approach the complexity of real-world systems for the first time under certain conditions. @ClusterProtocol @wallchain @x__score @kyparus @easydotfunX