A random mix from the whole library. Shuffle for a new set.
He gives the AI his shopping list and it compares prices at his two local supermarkets, which sit next to each other, then places a click and collect order with each one holding only the items that are cheapest there.
After years of spreadsheets and a vibe-coded app, a parent built an AI system (reported on X, via WhatAgentsCanDo, Oct 7) that maintains the family recipe library in Markdown, prints a weekly plan of about 15 meals, and produces a section-grouped shopping list. The list is pasted into AI to fill Instacart, with checkout still human; the bot template is shared for reuse.
Chris William Young (40 followers), juggling a 9-to-5, Ironman 70.3 training, and investing in a climbing gym, showed screen recordings of the AI building DoorDash grocery carts from Jewel-Osco ($130.02) and H Mart ($50.33), noting substitutions and missing items like Thai tea mix, then placing the order for delivery. He explained he avoids DoorDash himself out of exhaustion, and walked through the workflow: prompt, the AI searches memory, takes over the browser to shop, requires user approval befor
In his day-one the AI impressions, the MBI Deep Dives author asked the AI to order a healthy Chipotle pickup, picked the chicken and black bean bowl from its suggestions, and was prompted for DoorDash credentials. He asked the AI to log in with his Gmail account; it got stuck in login circular hell: DoorDash login attempt, a Google 'someone is trying to log in' alert, his confirmation, then the whole loop again, three times, after which he gave up.
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).
Someone sent the AI two photos of the office fridge and had it figure out what needed restocking, comparing brands and items across the photos to build the shopping list.
Creator someone asked the AI to research and book a Burmese restaurant for the weekend via OpenTable, with her approval. Cuisine-specific restaurant booking with an approval gate — the delegation pattern working as designed.
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.
A reel from the verified 'the AI' brand account (100K followers) has the presenter delegating his personal to-do list: planning three dinners based on fridge contents, budget, and taste preferences, then generating a grocery list for approval before ordering; drafting a refund request email for a damaged desk lamp with the agent set to ask permission before contacting support; auditing subscriptions to identify unused services (Paramount+, Apple storage, LinkedIn Premium) for review and cancellati
Miguel Sosa (32K followers), a busy student-athlete, created an AI named 'CR7' (cartoon avatar). After telling it he had soccer training the next day, he asked for dinner help; the AI suggested grilled honey chicken with pasta and marinara, produced the ingredients list, and gave step-by-step cooking instructions.
Laura Legge (32K followers) challenged herself to feed a family of four on $30/week using pantry items (salmon, frozen mixed veggies, turkey breast, oils, seasonings). The 'the AI Atlas' app returned a seven-dinner plan with recipes, a missing-items grocery list, and a browser price comparison across Walmart, Stater Bros., and ALDI for zip code 92880 — Walmart won at $29.66.
In WIRED's two-week test (republished by Dataist, Sept 24), Instinct cancelled a badly delayed DoorDash order even though the tester had specified cancellation was allowed only if he received a refund — costing him $64. Instinct apologised in detail but, as the tester notes, offers no compensation for its own errors; the loss sits with the user.
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 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.
He downloaded a cook's videos and bought her book, then had the AI read the book and format it at 8.5 by 11 inches. He uploaded the formatted book to Amazon for printing, in a listing only he can see.
Amanda Robinson ('The Digital Gal', 3.5K followers) got a notification that the AI wanted to book 'Beeside Del Mar' for 5:30 PM for 3 via OpenTable. The chat showed detailed criteria — seafood-focused, mocktail/cocktail variety, ~$50 per person, cool vibe, Instagrammable but not trendy.
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.
PCMag asked all three agents to find a named risotto recipe, match its ingredients to what a local Wegmans stocks, and load them into Instacart. Once the reviewer linked his Instacart account, the Dot found the recipe, matched the ingredients and filled the cart without a hitch, while the AI needed his password and a login code and added saffron nobody asked for.
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.
A homeschooling mom posted on Facebook on Oct 20 that she handed the AI (her agent 'Mira') two years of grocery data — all 140 Kroger orders plus her Amazon history, line by line. Mira found her worst leak (cat treats bought 16 times in nine months, at full price 14 times; the subscription price would have saved about $96 a year) and built a categorized lineup assigning every staple to Kroger or Amazon with prices shown.
Steve Caldwell built a weekly meal-planning system in Notion on the AI for his household. The roundup reports it saves his family about an hour each week.
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.
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.
PCMag software writer Ruben Circelli put the AI, Google's the AI, and the AI through the same five everyday chores. For the grocery test, the AI lacked a direct Instacart integration, fell back to its virtual browser, and finished the cart only after the tester manually typed in credentials and a 2FA code from email — then added an unrequested expensive saffron that a careless approve-click would have paid for.
He set the AI to check OpenTable every 10 minutes for a restaurant table for 3, using the OpenTable connector to keep token use down. When a slot opened in the morning for the next day, it booked it immediately. He got no confirmation in the chat, but found the booking confirmed in his OpenTable account. The watch used 1.48 million tokens in total.
MAXX (5.9K) explains she never saves recipes, only likes them. The AI scanned her liked food reels, identified 'meals you'd actually make' (butter chicken, salmon bowl, pasta), and built a 'GROCERY ORDER' cart (chicken + spices, cream + tomato, rice + herbs, naan) ready for approval.
Each week the system plans meals from his own recipe notes and what is left over, builds the shopping list, and adds it to his Aldi cart through the store's system, flagging anything out of stock. He schedules the pickup and pays in the app himself.
Austin of YoMamasTech dragged a photo of his handwritten grocery list into AI, which read the handwriting and built the cart in Instacart at Aldi: ground beef, butter, non-fat plain Greek yogurt and five more items, subtotal $40.33, with checkout left to him in the Instacart app. He then pasted a chili recipe URL and the AI added 21 more ingredients (brown sugar, beef broth, kidney beans among them) to reach $70.72, deliberately skipping the recipe's 2 lbs of ground beef because the handwritten list already covered it.
Dylan Heagy photographed a fridge whiteboard and asked the AI to order the grocery list from Sam's Club. Photo-to-cart grocery ordering: the list never gets retyped, it just gets bought.
A Chase Sapphire Reserve 'Exclusive Tables' screenshot accompanies a Korean caption: the user remembered the $300 annual dining credit, checked availability, and booked Bestia — a 'primetime reservation' for the following day.
Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.