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Despite advances in LLMs, even syntactically correct outputs often fail to achieve the intended state transitions when translating natural language into executable Ethereum transactions, revealing a critical gap in "reasoning-to-execution" capabilities.
Achieve near-perfect prediction accuracy (99.2%) of DeFi transaction outcomes with low latency using a trusted intent-centric framework.
