Google AI Research introduces a mechanism design framework to build synthetic datasets from first principles. This approach replaces random generation with structured logic to improve model reasoning. It targets the data scarcity bottleneck in complex domains. Practitioners can now generate high-fidelity training sets that maintain rigorous logical consistency without relying on existing human labels.