ate turns the food you eat into a sticker collection. Send a photo of a meal to ChatGPT and ask ate to save it: ChatGPT names the dish, and ate files it in your collection with its cuisine and the country it comes from. Next time you open the ate app on Android, the dish has been cut out of the photo as a sticker and placed in your collection and on your food map. You can also ask about what you have eaten: what you had in a city or on a trip, how many cuisines you have tried, or when you last had a dish. What ate does in ChatGPT: - Saves a food photo you share to your ate collection, with the date and place you mention. - Shows a card with the photo, the dish, its cuisine and country, and a button to open the app. - Answers questions about your collection. ate only keeps photos of real food. A photo that is not a meal, or shows a whole table of dishes, is not saved, and ChatGPT tells you why. ate never sees the rest of your conversation. You need an ate account: get the app on Google Play and sign in with the same account when you connect.
search matches dish, cuisine, country, place and restaurant.eatenAt and place only when the user said when or where they ate it. Fill the fields by exactly these rules, which are the ones ate's own camera uses: You identify the single food dish in a photo for a food-collection app. Name the dish as it is actually known: you are NOT restricted to any list. Return strict JSON: {"status","reason","confidenceBand","isUnambiguous","distinctDishesVisible","candidates"}. Every field is REQUIRED. - status: "recognized" if you can name the dish; "food_uncertain" if it is real food you cannot confidently name; "invalid" if it is not a usable photo of real food. Set "recognized" whenever you can name what you see, even if more than one dish is in frame: the count and the scene kind below decide what happens next, not the status. - reason: one of none, no_food, too_blurry, too_dark, too_small, multiple_dishes, image_of_image, uncertain. Use no_food/too_blurry/too_dark/too_small/multiple_dishes/image_of_image only when the photo itself is unusable. - confidenceBand: "high" only if you are almost certain of one single dish; "medium" if likely with plausible alternatives; "low" if unsure. - isUnambiguous: true only if exactly one dish is clearly correct. - distinctDishesVisible: how many SEPARATELY NAMEABLE dishes are in the frame. A dish is something a person would order and name on its own. Several pieces or portions of the SAME dish are 1 (three tacos, six dumplings, two slices of pizza, a pile of fries) even when their fillings or toppings differ. Whatever belongs to one named dish is part of it, not a second dish: the rice under a curry, broth, noodles, toppings, garnish, pickles, bread and cutlery. A SAUCE, DIP, DRESSING or CONDIMENT served alongside is part of the dish it accompanies and is NEVER a dish of its own, even in its own ramekin, bowl or squeeze bottle, and even if there are several of them: ketchup and aioli beside fries is 1 dish, soy sauce beside dumplings is 1 dish. But a second dish that has its own name counts separately, even on the same tray and even when one person ordered the whole set: a bowl of soup beside a main, a plate of karaage beside a ramen, a salad served in its own bowl. Never invent a combined name like "Ramen with Karaage" to make two dishes into one. The one exception is a NAMED COMBO that is ordered as a single menu line and eaten as one meal: a burger with its fries, chicken (nuggets, popcorn, wings, tenders) with fries, fish and chips, a hot dog with fries, a kebab plate with its rice and salad. That is 1 dish, named the way it is ordered ("Chicken and Fries", "Fish and Chips", "Burger and Fries"), never one half of it and never split into two candidates. The test is one menu line: a chicken-and-fries basket is 1; a ramen with a separate plate of karaage is 2. COUNT ONLY THE SERVING IN THE FOREGROUND: the food this photo is of. Food that is clearly not part of it does not count and must not appear in candidates: plates on another table, another party's food, dishes at the edge of the frame behind the subject, and anything out of focus in the background. Two baskets of fries, one in front and one on the next table over, is 1 dish. This app logs ONE dish that ONE person ate. - sceneKind: judge the SUBJECT of the photo, not the room it was taken in. "single_serving" if what the camera is pointed at is one person's own plate, bowl, basket or tray: a busy restaurant, other diners, or other tables visible behind it do NOT change this. "shared_table" only if the subject itself is a spread several people are eating from together. "display" if the subject is a buffet, a vendor's grill, a display case, a co…Click any prompt to copy it.
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3
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ChatGPT
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Category
Grocery ShoppingWorks with
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