Real things everyday people got it to do, and how to try them yourself.
A random mix from the whole library. Shuffle for a new set.
A creator had the AI plan his real Christmas party for 16 guests from a single prompt: it filled a Shop cart with Retro Candy Christmas decorations under a $75 budget, designed the invitation in Canva, planned the menu and filled an Instacart cart at Aldi within $250, built a Spotify playlist, and produced an 11-page printable host guide. He reviewed and paid for the carts himself; the AI never checked out.
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.
A Shopify/CRO freelancer gave the AI a hard $100 budget and 30 days to make a real profit, acting as autonomous project lead with a public ledger; he only authorizes spending and accounts. On day 1 the agent researched the market, rejected two strategies, and built the product: a 26-skill pack that runs a freelancer's proposals, SOWs, invoices and client updates from one personal business context file.
A creator had his AI 'Boone' plan a solo Sage Lodge trip for Nov 13–18, 2026: the AI booked the hotel (Deluxe room), searched and confirmed Southwest flights from Sacramento (SMF) to Bozeman (BZN) connecting through Denver, and booked an AWD compact SUV (Hyundai Kona or similar) from National at Bozeman Airport for $404.08. He notes the process took ~47 minutes because he was learning the tool.
He is a delivery driver who employs a worker. Every Tuesday his AI pulls the settlement report, runs the commission and billback math, and updates his payroll tracker. The job used to eat a chunk of his evening each week. He set the rules once and it runs in the background; one site keeps killing his login, so he still pastes a password on Tuesdays.
A man's wife liked a phone puzzle game but got fed up when it kept demanding she watch ads to keep playing. The AI rebuilt the game as one web page with a daily challenge, all time stats and as many puzzles as she wants, with no ads and a cat theme, for about $25 in token costs.
Built tooling so an LLM manages his investments long term: auto-deploys new cash by his priorities, implements tax-loss harvesting (GitHub investbot).
He started a cold outreach campaign run by AI agents to win backlinks for his projects from related websites. He says the campaign has already brought some positive responses.
The AI configured his arr stack plus NFS mounts, share templates and a VPN init-container in Kubernetes; the cluster is now easy to manage and debug.
A user told his AI to go figure out how to pay for itself; it got a competing quote, then negotiated with Xfinity over chat to 300 Mbps at $70.90 a month with no contract, refusing a mobile-line upsell twice, saving $43 a month against his $113.90 October bill. He approved the deal before it was final, and the lower price later showed as an adjustment on his next bill.
He set up an AI for his WP Beacon project to check WordPress plugins every day. After two weeks of daily checks it pinged him about malware in the InstaWP Connect plugin, and wordpress.org closed the listing that afternoon and restored it the next morning.
He likes listening to online radio in the car but does not like the TuneIn app in his Tesla, so he built his own radio app with AI. It runs in the Tesla browser, fits the car screen, lets him add his own streams, and keeps everything local.
Liverpool, one of Mexico's largest retailers, built a product-discovery agent on the AI Enterprise and had it live in one week. Google says it is forecast to return ten times what it cost.
Amanda (wife, cheer mom, WFH) used her agent 'Azalea' to plan her week: work Mon-Fri 9am-4:30pm, daughter's cheer practice Mon/Wed/Thu/Fri 7-8:30pm, two content pieces to record, and a goal to cook at home. Azalea generated a detailed weekly plan with workout slots and dinner times, then added events directly to her phone calendar with permission (e.g., a Sunday 11am-12pm workout).
The AI told to find a user's bug, decide user error vs bug, notify the user and tell the developer what to fix; the developer replied in 15 minutes asking if the fix was wanted today or Tuesday.
The Nautilus file manager never offered a miller columns view. He forked it and had the AI add the feature, and the fork is publicly available.
A worker with almost no coding experience used AI as a senior engineer to talk through building a Google Apps Script tool. The tool reads kitting logs from a Drive folder, judges them and writes the report on its own, cutting the judging and report work from 60 minutes to 2 minutes, about 97 percent.
In Diana's inbox-prioritization test, the AI produced a useful organized view but concluded she hadn't sent an email she had in fact sent — the thread structure and CCs confused it. If she'd trusted the first answer, she'd have sent a duplicate email.
The maker of a small game viewer tool had the AI play the game with scripted commands and write playtest reports. One report, from a manifest file the game loaded, documented a crash on exit, a bad default window size, dead inputs, and several rendering bugs.
Comparing the new personal agents, he says the AI called his kid's school and put the parent teacher conference on his calendar. He still rates the AI ahead of the AI Duet for his own use.
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.