Google researchers propose a mechanism design framework to create synthetic datasets using first principles. This approach targets the data scarcity problem by generating high-quality, logically consistent training sets. It moves beyond simple prompting toward structured synthesis. Practitioners can now build more reliable datasets for niche domains where organic data is unavailable or prohibitively expensive.