His meal-prep app got its new feature while he was out on errands
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.
A random mix from the whole library. Shuffle for a new set.
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.
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.
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.
Reverse engineered his supermarket API and made a custom MCP to automate grocery shopping; now fills his cart through AI.
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.
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.
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.
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.
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
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.
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).
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.
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.
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.
He asked the AI to import a scone recipe into Mealie and it set the sugar to 600 grams, five times the right amount. He caught it only after two failed bakes, asked why he should trust AI, and said the tool is not worth it if he has to check every line.
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.
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.
After years of building his own food logging apps and never liking them, he set up an AI as his food logger in about half an hour, and now sends it a voice note, a text or a photo of each meal. The bot works out what he ate, looks up the nutrition numbers and logs it in a Google spreadsheet it made for him, and its guesses are usually right.
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 agent knows his family's usual orders at their regular places. He says one word and dinner is handled. The agent places the order he has already taught it, with no menu reading or form filling from him.
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.