The New York Times tests artificial intelligence for recipe customization
The New York Times has introduced an AI-driven feature in its Cooking app designed to suggest ingredient swaps, equipment alternatives, and serving size adjustments.
The New York Times is currently trialing an artificial intelligence tool within its Cooking platform intended to assist users in modifying established recipes. The feature allows home cooks to request specific ingredient substitutions or equipment alternatives, with the system providing instructions on how to adapt the cooking process to maintain the recipe's integrity.
Senior editor Genevieve Ko announced the test phase last Friday, highlighting the tool's capacity to adjust serving sizes and offer procedural guidance. For instance, the system may advise on timing adjustments if a user elects to substitute a hearty green like kale for a faster-wilting leaf like baby spinach.
While the integration of generative AI into consumer food services reflects a broader industry trend toward personalized culinary tools, the announcement has prompted mixed reactions among the app's user base. The initiative signals a shift for the publisher, as it seeks to increase the practical utility of its digital subscription archives through automated assistance.