I requested feedback on my lunch and dinner recipe suggestions from Meta's new Muse Spark AI, and it mostly met my expectations.

Personal AI for Meal Planning: The author utilized Meta's new personal AI, Muse Spark, to evaluate the nutritional value of their lunch and suggest dinner recipes based on available ingredients, highlighting the challenges of meal prep and nutrition tracking.

Nutritional Analysis: Muse Spark rated the author's salmon lunch a 7.5 out of 10, providing insights on sodium intake and suggesting healthier alternatives, while also generating a detailed caloric breakdown of the meal.

Dinner Recipe Suggestions: After analyzing the author's leftover ingredients, Muse Spark recommended several easy-to-cook dinner recipes, including a Japanese-style oyakodon and a papaya-blueberry salad, aimed at improving nutritional balance.

Limitations of AI: While Muse Spark was effective in analyzing the meal's components, it struggled with generating a labeled image of the meal and did not accurately account for certain ingredient weights, indicating areas for improvement in AI functionality.