A comparative analysis of the three pillars of AI-based profit optimization and verification infrastructure Today, let's take a look at how AI is integrating into DeFi and blockchain infrastructure, and who is doing it best. The main players on stage are @katana, @Mira_Network, and @AlloraNetwork. All three projects share the common keyword 'AI × Blockchain', but their directions and characteristics are completely different. Katana is a strategist that enhances the actual profits of DeFi, Mira is a discriminator that filters the truth of AI, and Allora is a conductor that coordinates various models. First, looking at Katana, it is a layer 2 built on a zkRollup structure based on Polygon CDK. With fast finality, low costs, and close integration with core DeFi protocols, it has gathered over $540 million in deposits. It is linked with Sushi, Morpho, Vertex, and uses a technology called VaultBridge to automatically reallocate bridged assets into yield-generating pools. The results are clear: an average stable annual yield of 5-7% and asset utilization efficiency that is 20-30% higher than competing protocols. However, AI remains a supportive role, used mainly for yield prediction and risk management. On the other hand, Mira Network has a completely different character. This place acts like a verification center that distinguishes between the "real and fake" of AI. Over 110 AI models collaborate to decompose the generated outputs into binary units, and distributed nodes verify them simultaneously. An astonishing accuracy of 96% and a 90% reduction in hallucination errors prove its achievements. All verifications are based on supermajority consensus, blocking the possibility of manipulation through cryptographic proof. As a result, Mira provides the most reliable answer to the question, "Can we trust what AI says?" Now, let's shift our focus to Allora Network. This project is an intelligent platform that conducts the 'orchestra' of AI models. Individual models gather in 'topic' units tailored to specific prediction tasks, producing their results and synthesizing them. Through interactions among predictors, evaluators, and verifiers, accuracy is enhanced, and self-learning is continuously repeated. Consequently, Allora recorded an accuracy of 53.22% in 5-minute Bitcoin price predictions and exceeded 58% on a daily basis. It is not just about 'using' AI; it has created a system where AIs evaluate each other's capabilities and grow independently. The economic structure is also interesting. Katana's $KAT token has a fixed supply, generating real profits through transaction fees and liquidity reinvestment. Mira's MIRA token rewards vary based on verification performance, with penalties for inaccurate verifiers. Allora's ALLO token has a Bitcoin-like halving structure, providing more rewards to high-performing AI models and verifiers. In other words, all three projects have established a 'performance-based' incentive system, but their reward mechanisms are uniquely different. Looking at their growth trends, Katana is expanding its ecosystem through DeFi-centered strategies, Mira is securing AI reliability, and Allora is enhancing predictive intelligence. Katana processes over 74,000 daily transactions and is expanding its connections with major protocols, while Mira verifies billions of tokens daily with 4.5 million users. Allora has already established itself as an AI model hub with over 280,000 developers participating. In summary, Katana is a master of efficient profit generation, Mira is the guardian of AI trust, and Allora is the architect of intelligent predictions. Rather than competing, the three projects play complementary roles. Katana efficiently manages assets, Mira verifies the reliability of AI, and Allora refines decision-making through predictions. Ultimately, these three directions converge into one: the combination of AI and blockchain has moved beyond mere technical experimentation to a stage of creating real economic value. We look forward to the new economic landscape that these three will create.