A creator had the AI map his household's staple basket, then price it at every store within a two-store, 20-minute-drive rule. Sam's Club plus Aldi came out about $32 per basket cheaper — roughly $600 a year — with itemised trade-offs.
Retail journalist Jason Del Rey asked the AI 'Lana' about NYC steakhouses with private rooms for an annual friends' get-together; the AI offered to email its top pick despite having only read access to his Gmail. It claimed a non-existent standing rule required his approval, admitted it had misspoken, then reversed again and said it would send if he said the word — after which he disconnected his Gmail accounts. His post of the exchange drew almost 95,000 views on X.
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He asked the AI to go through all of his saved Instagram videos and create a recipe book from the recipes in them. The AI built him a recipe app holding the recipes. It also tagged the videos that did not have full ingredients or instructions available, so he knows which ones are incomplete.
Self-described non-cook (just learned what a skillet is) named her agent 'MOTY' (Mother of the Year). It surfaced a sheet-pan dinner recipe from her saved Instagram posts, built a grocery list from ingredients she already had, placed the grocery order pending her approval, and later gave her cooking-timing reminders while she cooked.
A man's system reads his grocery receipts from email and predicts which items will need restocking, building his shopping list on its own. When he is ready, the AI logs into his online grocery shop, adds the items and books the delivery slot.
TheCleaningChannel's the AI 'Foodie' plans meals around her family's favorite foods and allergies and builds the grocery list in Instacart. The order is left ready for checkout with pickup or delivery options; nothing was purchased in the video.
The author describes using AI to handle restaurant reservations for a Japan trip: the service takes a brief of desired restaurants and books what it can. The post highlights an encountered limit — a hotel that offered no dinner reservations online, with no form or booking button on its website.
This only partly worked. Worth knowing before you try it.
He built a meal planning setup for his family around their tastes, his dietary needs and two picky kids. Once a month he counts the freezer, including the random leftovers from bulk meat buys, and the plan works like a factory parts list so shopping quantities come out right. The family wastes much less food, dinner is always ready to be made, and eating out because there is nothing at home has mostly stopped; he still shops by hand because his supermarket has no public way for a tool to fill a cart.
Nutri is a Boston-area meal delivery service whose website and app are cumbersome with screen readers. The reviewer told the AI to delete all prefilled meals and give a numbered list of about 10 at a time; he replies with numbers like 'I want 5 and 8' and the AI updates and finalizes the order on the Nutri website.
A 10-slide head-to-head test gave the AI and the AI the same job: a table for 4 in downtown Denver, Friday Oct 9 at 7pm, under $40 per person, good vegetarian options — verify availability without booking and draft an invite. The AI checked only OpenTable, declared no bookings and switched restaurants; the AI confirmed via City O' City's own Toast page that a 7pm table was bookable, which the tester verified manually (The AI took ~6 minutes vs the AI’s ~3).
Creator someone gave the AI her Florida bucket list. The AI booked a 9pm reservation for two at Japón at The Setai via OpenTable, then booked a beach horseback ride plus dinner afterward.
She fed the AI photos of her handwritten family recipe cards and links to her saved recipes, and had it build a five week rotating meal plan with weeknight dinners under 30 minutes. A scheduled the AI prompt now tells her each night what is cooking. The grocery list the AI made was wrong, so she fixed that part by hand.
This only partly worked. Worth knowing before you try it.
Shawna (13K followers), a mom of three, used her AI 'Miss the AI' to reduce mental load. The screen-recorded chat returned six kid-friendly meals (rotisserie chicken tacos, spaghetti, breakfast-for-dinner, chicken nugget wraps, quesadillas with tomato soup, homemade pizzas), then a detailed grocery list organized by store section covering all dinners for two adults and three children, delivered as a downloadable PDF titled 'Easy Dinner Grocery List.'
His AI Fred collects recipes from his Instagram Saves into the Kyle app and keeps the collection up to date; the reel shows the organized collection with named recipes.
He photographed his pantry and listed everything in his fridge and freezer, and it built three weeks of meal plans to use up as much perishable food as possible. In week four it worked from his grocery store's ad with a budget of $50 to buy as little new food as possible and keep the plan going. He is on month two of this.
The AI predicts grocery restocking from his receipt history, logs into his supermarket weekly, books a delivery slot and adds the items that need restocking; barcode photos add items during the week (fuller sibling telling 50177493 to be rejected as duplicate when reached).
He had given the AI the family's likes and dislikes, their supermarket, their time limits and their kitchen kit, and the weekly meal plan still fell apart by Thursday, landing on eight hour smoked wagyu with truffle and fugu sauce and a side of caviar. It hit the macro targets and missed everything that mattered. He does the plan himself again.
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A Dexterity Solutions presenter demonstrating the AI walks through user examples including the AI booking a dinner reservation for two at Osteria Lina via browser automation. The same reel cites tweets from users William Geronco, Reezy, and Dan Lopgnow and references an Engadget article plus a live prompt database at muse.every-ai.com (1,000+ prompts).
Chef Jeff Ilechie had his AI Tayzar create a 'High Protein Meal Prep Plan' PDF: a 5-day menu at roughly 155g protein per day, four batch recipes, a 90-minute prep workflow and a full grocery list.
A man subscribes to a meal delivery service but its web app is slow and he kept forgetting to pick the next week’s meals, ending up with defaults he did not want. He now has the AI crawl through the app weekly and bring him the options he cares about, based on his dietary preferences.