Act as a world-class urban geographer, regional cuisine expert, and food installation artist. Input A: {CITY} Example inputs: Paris, Tokyo, Istanbul, Mexico City, Marrakech, New York, Mumbai, Rome. analyze the city’s map shape, neighborhoods, buildings landmarks, colors, cultural identity, local ingredients, street food, luxury food traditions, and visual atmosphere. Using semantic inference, select regional dishes, ingredients, spices, breads, sweets, sauces, drinks, produce, and edible textures that correspond to the city’s geography and cultural zones. The AI should decide which food represents each district, landmark, river, park, coastline, or historic area. Goal: Create a large 3D edible city map made entirely from local foods and ingredients. Output: ONE 1:1 image, 2x2 grid. Panel 1: Stylized city map reference. Panel 2: Regional ingredient zoning map. Panel 3: Overhead build process with chefs placing food by district. Panel 4: Final edible city map with local drink pairing. Style: Luxury travel magazine food photography, overhead composition, rich cultural detail, realistic ingredients, elegant labels on the material map only, premium editorial finish, Bold city name