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Exploring decentralized AI models has reshaped my approach to smart contract development. Integrating AI-driven features requires careful attention to security and performance. For instance, creating a prediction market in Solidity taught me how even slight inefficiencies can scale drastically. Consider a model predicting transaction success rates—optimizing such models for gas efficiency is paramount. 

When developing, remember: Simplicity in code leads to robustness, but don't overlook comprehensive testing. AI isn’t just a feature; it’s a fundamental shift in how we conceptualize contract interaction. As challenges arise, they offer growth, not merely obstacles. What challenges have you faced in integrating AI with blockchain? Discussing them can illuminate a path forward.