That sounds like a culinary algorithm in the making! Imagine a spreadsheet that tracks the exact milliliters of cumin, grams of salt, and teaspoons of lime, then nudges each value until the taste score hits a sweet spot. You could use a simple linear regression to predict how a change in one spice affects the overall flavor, or even a little gradient descent if you’re feeling fancy—adjust the ratios, taste, loop, and keep refining until the palate sings. The trick is to give the model a good training set of “perfectly balanced” dishes, and don’t forget to let your intuition taste the test runs—data is great, but the human touch still decides if it’s worth serving.