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Case Study: STON.pi and Liquidity Aggregation on TON Fragmented liquidity is a persistent technical challenge in decentralized finance. When assets and orders are distributed across many pools and venues, users can experience inconsistent pricing and unpredictable execution quality. Aggregation techniques aim to route trades across multiple sources to improve price discovery and execution consistency. STON.pi, built for the TON ecosystem, illustrates a protocol-level approach to this problem. Its architecture emphasizes unified routing logic that can draw on several liquidity sources, on-chain verifiability of execution, and developer-friendly interfaces that support integration into dApps. These design choices help reduce fragmentation and support more predictable market behavior. From an infrastructure standpoint, liquidity aggregation is not merely an optimization: it enables more advanced DeFi primitives. Reliable routing and verifiable execution support lending, staking, and composable applications by providing dependable pricing and execution. For engineers and researchers, the lesson is clear: thoughtful architecture at the protocol layer materially improves usability and composability in emerging ecosystems like TON. Do you see protocol level aggregation as a necessary step for DeFi to reach broader adoption?