The structure of educational finance completed through gamification @pip_world , @0G_labs , @fraxfinance Financial education has long faced the limitation of a disconnect between knowledge transfer and actual investment behavior. One of the approaches that emerged to address this issue is a structure that accumulates learners' behaviors and judgments in a gamified environment and analyzes them in a verifiable manner to connect with the actual financial system. The Edu-Fi model, which combines collective intelligence AI, high-performance verification infrastructure, and automated financial execution environments, illustrates this flow in a concrete structure. PiP World provides a gamified simulation environment for financial education. Users can experiment with trading strategies in various market conditions based on virtual capital, and during this process, quantitative indicators such as returns, volatility, loss magnitude, and decision-making frequency are recorded simultaneously along with behavioral data. This process includes a collective intelligence structure where multiple AI agents interact and improve strategies, and the reasoning and outcomes of individual users and agents are accumulated in an explainable form. This data remains not just as simple learning outcomes but as repeatable strategy records and behavioral histories. The strategies and performance data generated in this way are verified through the decentralized AI infrastructure of 0G Labs. 0G Labs provides an environment designed to allow external verification of the execution process and results of AI models based on a decentralized computing network and data storage layer. Through a trusted execution environment and zero-knowledge proof-based technology, it can be proven that the strategy verification process has not been arbitrarily manipulated, and the execution history and verification results of the strategy are recorded in an immutable form. This clearly indicates the conditions and data under which the strategies created during the educational process were derived. The verified strategies and data are connected to the financial infrastructure of Frax Finance. Frax Finance operates a stablecoin system, layer 2 network, and automated DeFi execution tools, where asset management and rebalancing are automatically carried out according to predefined rules. The Fraxtal network provides an execution environment compatible with Ethereum, designed to enable strategy-based operations through automated vaults and tokenized agent structures. This structure demonstrates that rule-based strategies can be executed on the financial system without human intervention. In a structure where these three elements are combined, education does not remain merely theoretical learning. The learning and experimentation in PiP World leave data, which is organized in a verifiable form within the infrastructure of 0G Labs, and is connected as executable strategy units within the financial system of Frax Finance. The entire process is managed with separate records and verifications at each stage, clearly revealing the connection structure between educational outcomes and financial execution. This Edu-Fi model has distinct characteristics compared to traditional financial education in that it separates the three layers of education, verification, and execution while connecting them in a single flow. The collective intelligence-based strategies generated during the learning process are treated not just as simple achievement indicators but as verifiable financial data, and the automated financial infrastructure processes them based on rules. As a result, educational activities are organized as a procedure structurally connected to the actual financial system. $0G $FRAX $PIP