Three new models from Kaikaku.AI distinguish between culinary recipes and chemical flavor profiles. Trained on 4.14 million recipes and the FlavorDB database, the system separates traditional pairings from molecular compatibility. The chemistry-based variant identifies nutritional values without direct training. This separation allows chefs to choose between conventional taste and scientific innovation.