A random mix from the whole library. Shuffle for a new set.
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.
Whenever he visits a restaurant, the reviewer asks the AI to rebuild its menu as an accessible web page, with each category as an H2 heading and each item as an H3, delivered as a shareable HTTP link he can navigate by headings with a screen reader.
A man built a receipt store from his emails, and the AI uses it to predict what his household will run out of based on how often he buys each item and when he last bought it. Every week the AI logs into his supermarket site, books a delivery slot, and adds the items that need restocking. During the week he sends a photo of a barcode when something runs out and the AI adds it to the shop.
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.
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).
His household setup sends him, his wife and the kids the week's meal choices to vote on. He scans pantry barcodes with his phone every few weeks to keep the inventory current. After the vote, a list is built from the recipes and weekly staples: The AI shops it through the Kroger API while the AI covers Walmart and Food Lion looking for cheaper items. He reviews the picks, adjusts, and schedules pickup at whichever store is cheapest for each part. The setup saves the family $20 to $30 a week.
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.
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).
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.
Plant-based nutritionist Natalie Golba typed a request to her AI 'WALL-E' in iMessage; it pulled 12 ingredients (cauliflower, carrots, broccoli, zucchini, bell pepper, tomato, cilantro, dill, parsley, garlic, lemon juice, salt) from her detox-soup recipe into an Amazon Whole Foods cart totaling $30.79, and footage shows the groceries delivered the next day.
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.
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.
Michelle Solomon (recipes/homemaking, 9.5K) typed her weekly meal plan for four into AI, which returned a consolidated grocery list organized by produce, meat/seafood, etc., keeping the total under $200 using store-brand picks. She approved the AI logging into her grocery account; the groceries arrived and she cooked glazed chicken breasts.
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.
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.
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.
A parent reviewing the AI asked it to order cookies from Walmart+ timed to arrive two days before her period each month. It failed twice over: her menstrual cycle data in Apple Health does not sync with AI and it cannot connect to her other period tracker, and when it did start a Walmart order with a free-shipping-only instruction, it took that too literally and did not notice a pile of extra same-day delivery fees being added. She told it to cancel the task and not place the order.
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.
The AI handles the family's weekly grocery order. It knows their usual items, picks 3 of their 10 approved fruits based on what is on sale that week, and texts him the final list and total for approval before it orders.
AI agent Rosey in a family iMessage chat does meal planning and Walmart grocery shopping via BrowserMCP.
He set up a message bus between his server, his desktop and his laptop. He makes the menu for the week on the server, the ingredients get sent to the desktop, and the laptop places the Walmart order for pickup after work. He checks the order on his phone before pickup to make sure it did not add staples like aluminum foil by mistake, and he says it works pretty well.
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.
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
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.
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).
The image shows a digital confirmation screen in Vietnamese ('Congratulations! You have successfully booked!') for Cat & Mouse at 37B Pham Ngoc Thach, Phuong Xuan Hoa, Ho Chi Minh City.
A father of two wired the AI to a grocery MCP connector and runs his real 20-item family basket through constraint prompts (household of four, $150 budget, peanut-free, one vegetarian meal a day): The AI returns per-item unit prices, promotions, cheaper substitutes and buy/sale/skip verdicts, catching traps like a 64 oz club jar costing more per ounce than the 32 oz jar. Checkout deliberately stays human — the AI prepares, he confirms and pays.
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.
Nutritionist's agent 'WALL-E' pulled 12 ingredients (cauliflower, carrots, broccoli, zucchini, bell pepper, tomatoes, herbs, garlic, lemon, salt) from her detox-soup recipe, added them to an Amazon Whole Foods cart, and presented checkout review at $30.79 with next-day 5-6pm delivery in Beverly Hills. Delivery was filmed the next morning.
Answering a what do you use it for thread, he says he had the AI take his grocery list and check the deals at his two stores. It worked through the trade offs: Kroger had a sale on ice cream but Sam's Club was far cheaper in bulk, while Kroger carried many more flavors. He had told it his rules on name brands versus generics, size variations, and coupons that stack with the sales. Result a few minutes before he posted: it saved a third of what the order would have cost at Kroger.
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.