23 Daily — According to theverge.com, the New York Times Cooking app has recently introduced a built-in AI assistant designed to help users substitute ingredients, provide cooking inspiration, and customize recipes. This feature launched on November 7, 2026, exclusively for iOS subscribers, addressing challenges often faced during weekday dinners such as lacking certain ingredients or wanting to vary the menu.
AI Assistant Offers Real-Time Recipe Customization and Practical Tips
The AI assistant appears as a small text box on recipe pages, where users can input queries like ingredient substitutions or scaling recipes. The AI then generates a new version of the recipe tailored to those requests, while preserving the original version for reference. The system can also suggest alternative cooking equipment and perform unit conversions. Trained on user comments from the NYT Cooking app, the AI incorporates practical cooking experience to solve common dilemmas. It also avoids complying with requests that might result in poor tasting dishes, enhancing user safety and experience.
Use Case: Successful One-Pot Chicken and Rice Adaptation
In testing, a user found the assistant able to rapidly generate a recipe variant based on available but different ingredients, such as substituting chicken thighs for chicken tenders and swapping chard and cilantro for green beans and red onions. The AI adjusted cooking time and methods accordingly and explained how the substitutions would affect flavor. The modified recipe took a similar time to prepare as the original and yielded a dish that received family approval, demonstrating practical value in recipe personalization.
Editor's take: AI Cooking Assistant Enhances Flexibility but Requires Oversight
The New York Times’ AI cooking assistant combines tested, curated recipes with user experience to provide more reliable advice than purely AI-generated recipes, reducing the risk of culinary failures. Its ability to substitute ingredients and adjust portions addresses shortcomings of traditional recipes for special needs. For entrepreneurs, such AI-assisted systems showcase tangible AI applications in cooking and home life, with strong utility in the time-pressured, variable scenarios of weekday evenings. Effectiveness can be validated by assessing success rates and user satisfaction across various ingredient constraints, monitoring error rates and taste outcomes to ensure the AI does not mislead users.