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.
Jenn Farmer (3.3K followers) asked her AI 'Dolly' to plan a College of Charleston Family Weekend (Nov 6-8) near King Street with Friday dinner on Shem Creek. Screen recordings showed Dolly researching, then offering to book NICO Oysters + Seafood via OpenTable — confirmed for 4 on 11/06 at 7:00 PM after a time change — then booking Indaco for 4 on 11/07 at 6:00 PM.
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.
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).
Palona built Cali BBQ owner Shawn Walchef an AI phone agent from his own voice, sampled from his YouTube videos, and it now answers the restaurant's phone as him. On Father's Day it fielded 150 calls without any staff stepping away from service, and the restaurant posted its biggest sales day ever at $26,000, up 18 percent on the year before.
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.
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 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.
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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.
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.
Myra Chiasson (98 followers) described the stress of 'what's for dinner' with a picky-eater child plus her own protein goals, and presented her 'mom hack': The AI automatically generates a personalized weekly dinner plan every Sunday at 8 AM, with a new menu and grocery list accounting for dietary restrictions, preferences, and kid-safe foods. On-screen text reinforces 'personalized dinner plan for the week' and 'Stress free dinner FTW.'
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.
This only partly worked. Worth knowing before you try it.
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.
A user set up an AI food team under his chief-of-staff bot: a Meal Organiser that knows the lunches and dinners he likes, a Shopper that fills his grocery cart, and a Cooking Bot that walks him through each meal. He says the shopping takes under 3 minutes versus about an hour at the shops or 30 minutes online, with meals cooked in under 20 minutes; he checks out himself.
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.
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).
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.
This only partly worked. Worth knowing before you try it.
A CATCHTABLE reservation confirmation email for Eatanic Garden (party of 2, 6:00 PM KST) accompanies a Korean caption: the author successfully booked the notoriously difficult-to-reserve restaurant by Chef Son Jongwon, calling it the best birthday ever. Comments confirm a November 2026 birthday; demand spiked after the chef's Netflix cooking-show appearance.
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.
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.
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 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.
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.
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.
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.
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.
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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.
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.
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.
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.
Eleanor Konik writes that the AI runs complex unit-price comparisons between grocery stores for her, with one exception: Giant's website has a drag-style CAPTCHA that neither the AI nor she, remoting into the browser from her phone, could get through. The comparison workflow works elsewhere; Giant remains a hard wall.
This only partly worked. Worth knowing before you try it.
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
An AI user runs the agent on a headless home server with his DoorDash and email credentials stored in 1Password. The AI logs into DoorDash with a skill it built itself and chats with support reps, and the user says it now gets refunds issued with no issue where DoorDash had turned stingy with him.
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.
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.
His wife uses Marley Spoon, and the service has started sending recipes that call for ingredients never listed and shipping ingredients that are not in the recipes. Its customer service bot refunds them automatically every week.
This only partly worked. Worth knowing before you try it.
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.
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.