Solving a dinnertime dilemma with Algolia

The text describes the process of creating a flavor pairing database using Algolia Recommend. The author first collects data on ingredients and recipes, then uses Algolia to create an AI model for suggesting flavor pairings. The AI model is trained with user input through a "like" button feature that reinforces popular combinations. A simple GUI is built using Next.JS to display the recommendations. The author emphasizes the potential benefits of this approach in increasing cart sizes and revenue for ecommerce applications.