A random mix from the whole library. Shuffle for a new set.
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.
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.
He asked the AI to run his whole grocery shop. It signed into Zepto, built the cart, then price checked the same basket on Swiggy Instamart and BigBasket. The Zepto cart came to 189 rupees, 10 short of free delivery, so following his standing rule of never paying delivery fees it scanned his 24 past Zepto orders, ranked his most reordered staples, and added a 50 rupee Mother Dairy curd cup as filler. Final totals: Zepto 239 rupees with fees waived, Swiggy Instamart 251, BigBasket 289.50. Zepto won and the order was placed, paid with Amazon Pay.
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.
Her AI Jazz produced a 7-day, mostly-fish, under-30-minutes meal plan document ('Easy family meals') with named dishes, plus a categorized Walmart Delivery grocery list.
A weekly scheduled plan writes the week's dinners into their Google Calendar, trained on the family's dietary needs, restrictions and preferences. It checks the local weather forecast and the calendar itself, so a hot day gets burgers on the grill, a cool night gets chili, and travel days or evening commitments get easy low stress meals. They eat out far less now.
A man told Android the AI to add etouffe to his shopping list. The AI added the word toothache to the list instead.
The AI wrote a spec, got it reviewed and built a v1 of a new feature for his meal-prep app before he got home from errands.
He had it sign in to his Costco account and work out how often they buy each thing and which items they stock up on when they are on sale, so it now writes the family shopping list and sends it to his wife for edits. At Vons it signs in and loads the cart itself; he only checks out and picks a pickup time.
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.
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.
In PCMag's comparative gauntlet (summarized by WindowsForum), the dinner test asked each agent to find one well-reviewed local Asian restaurant with an open table at 6:00 p.m. that evening. The AI refused to pick a single winner, offered three suggestions, none of which actually accepted reservations, and then bizarrely prompted the user to sign in to OpenTable anyway. Dots found a 6:15 p.m. slot and flagged it as the closest to the request.
The New York Times' own Daily podcast episode on Tan's two-week the AI test (Oct 6, 2026) summarizes: 'the AI, Meta's A.I. agent, helped a Times reporter with dental insurance, dinner reservations and more.' Dinner reservations were among the delegated real-world tasks in the review.
With his wife and two kids sick, he used AI connected to his recipe database and Instacart to order the ingredients for a recipe from Safeway by voice. The groceries were at his door in about 30 minutes.
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.
A dad of two under two steered the AI to build Forkcast, a weekly meal-planning and calorie-tracking web app, because existing apps plan only a day at a time. It generates his grocery list from the week's plan and imports recipes from photos and labels for his 90-day weight-loss challenge.
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.
Corina Noriega (130K followers), a busy mom, nutrition coach, and trainer, demonstrated the AI’s assistant 'Kai' (cartoon dog). She entered family of three, $50 grocery budget, fridge/freezer contents (chicken tenders, beef), training schedule, and macro goals; Kai generated a detailed PDF plan covering Friday Sept 18 to Thursday Sept 24 with grab-and-go breakfasts, prepped dinners, a $38.43 shopping list, training windows, and recipes.
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 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.
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.