An AI that understands how ingredients relate to each other—that both cumin and coriander are warming spices, that kale and spinach are interchangeable in many contexts—makes smarter substitutions and pairings than one treating each ingredient as isolated. It's thinking in categories, not lists.
A food ontology is a structured knowledge framework that defines how ingredients, cooking methods, flavors, and dish categories relate to one another within an AI system.
Understanding that AI uses these hidden relationship maps helps cooks write better prompts, because an AI that knows chicken and tofu share a protein role can suggest smarter substitutions rather than treating every ingredient as an isolated item.
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