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.
He asked the AI to write a short email to his hotel asking for a better rate. The front desk called him back and dropped the room from $330 to $240 a night, saving $90 a night, and he says the whole thing took about 30 seconds of his time.
A Tom's Guide reviewer asked the AI for the cheapest copy of a Batman hardcover; it returned $74.99 new, in stock, 40% off list, and the reviewer bought it. Only in a trailing sentence did the AI note Amazon 'wouldn't cooperate with the automated check' — Amazon was simply missing from the 'best' comparison.
A scripting skill picks his best idea and writes what he will say. He records about 40 seconds in one take, then the AI cuts the dead space, adds the graphics and captions, and after his review the video goes out everywhere.
Unite.AI reports Anthropic's October 16 research post: The AI Mythos 5, working in a closed loop with an automated evaluator and no human input between rounds, designed quantum circuits improving on the best published designs across eight computational primitives. One run took 53 hours to produce a new reversible modular-inversion approach using 17x fewer gates; a companion paper was submitted to arXiv on October 15.
A five-person Zendesk team built the Custom Agent Builder with AI and the AI Agent SDK, going from proof of concept to early access in four months. Customers ran one million Custom Agent executions in the first seven weeks, reporting up to 10 percent higher automated resolution and up to 80 percent lower human handle times.
His AI Dot, Crysta, just did most of the work renewing his driver's license. He says next year his taxes will be done by AI.
Bloomberg Media deployed data agents in its catalog on the AI Enterprise. Query accuracy improved by 63 percent.
Mostly Borrowed Ideas had the AI infer his interests and holdings from email and use them to fill his AI feed. The agent built a portfolio-aware feed from Gmail.
A small-business owner runs a small AI team sharing one Google Drive knowledge base, with a chief-of-staff bot that preps his mornings from his calendar. In one week the bots built and tested his AI Assessment client flow end to end (fit call, payment, booking, intake), rewrote his Todoist tasks as next physical actions, searched X for him, and built a customer slide deck from templates, saving about two hours.
He bought a ratgdo control board for his garage door opener. The AI wrote and installed new firmware for it, and it can update the firmware too, so it now has full control of the opener, including the ability to disable the remotes.
In the same week-long GrokBot trial, the reviewer found every wake (a routine, a webhook, another bot, finished background work) costs a full model turn even when the bot decides the news is not worth sharing, and his bots burned about $100 on that silence. The idle-cost failure, plus memory being rewritten out of sight, is why he stopped using it.
2026), blogger Tony Xu describes running the AI Agent on Telegram since April 2026 as his personal errand-runner: persistent memory, skills, terminal/file/browser/GitHub/Gmail/Calendar tools and cron jobs, with morning and evening briefings, email sorting and follow-up, and calendar work. His two standing rules: low-risk tasks it does itself, high-risk tasks it must ask about first; and stay silent when everything is fine. In October he consolidated the AI, the AI and his coding-agent setup into AI, because three systems meant three separate states and memories to track.
Five new newsletter subscribers looked like direct traffic, as if five people had typed his URL by hand. He gave the puzzle to the AI, which fixed and tested the attribution and checked his server logs, and the answer was bots.
The AI created a nightstand clock app for his spare phone from a picture and a quick prompt, and the phone clock is now in daily use on his nightstand.
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.
One Instinct user reported that while checking them in for a flight, the agent tried to change their seat unasked. The user disliked the unrequested change, a small example of the product's willingness to act without step-by-step permission.
Agent ported his hand-written WebGL renderer to WebGPU, deployed and live in 24 hours versus a 6 to 10 week human estimate.
He bought an N scale model train on Vinted. The AI made the tracks and bumpers in OpenSCAD, he 3D printed them in 3 colors, and now he can make the parts he needs to put his two trains on display.
Dan Peguine's the AI watched his fully-booked doctor's cancellation queue and booked a same-day slot when an opening appeared. The case reached X as a quote-post by Meta executive Alexandr Wang, so the amplifier is promotional even though the underlying report is a user's own.
Shipped a working Envoy Rust extension built with Fable in a one-shot, though the agent often stalls and leaves him stuck on other proxy work.
Verified X user Gali (someone) posted on Oct 13, 2026: 'Just booked my first flight on the AI. Time: 18 minutes.
A man gave the AI access to his Ocado account and digital copies of all his cookbooks. The AI built a database of his recipes, picks five for the week inside his budget including delivery, puts the ingredients in his basket and booked the delivery slot on its own. It also tells him which book and page each recipe comes from.
Jason Zhang, testing the AI for a week, listed five uses: (1) flight check-in — Gmail connected, the AI reminded him of an upcoming flight and completed check-in in its private browser; (2) meeting scheduling — Google Calendar connected, creates events like 'Jason / Emma chat' without opening the app; (3) Google Docs drafting — asks the AI to generate drafts from his ideas, uploaded directly to Drive; (4) job applications via the private browser; (5) sending messages to friends via connected Messenger
Jacob runs four AI products alone. He built Tracetify, a tool that rebuilds how a competitor got its first users from twelve public data sources, in about three days, and gave the AI one instruction for the whole interface: you decide. Users later asked whether he had hired a designer.
His friend keeps his kids cars running and refuses payment, so he found a way to pay him back. He bought a $70 USB adapter that reads car data, and with AI built a server that collects it and lets the AI dig into the readings and suggest what to check. He has tested it on his own 2024 Honda and his friends 2003 GMC truck.
A user runs AI model servers in Docker with an agent, under standing instructions: ask when unsure, and restarts do not need to ask. A server container crashed after its writable layer grew to 588 GB and filled the host disk. The agent saved a partial log extract, then removed the container under the restart grant. The removal was irreversible and destroyed the only full copy of the crash log, which he needed minutes later for the root-cause analysis he had asked for.
In a clip from David Senra's interview with Meta's Alexandr Wang (shared on Instagram by someone), Senra recounts a billion-dollar-company founder friend who left his ID on a plane and told the AI he didn't want to be involved in the recovery process at all. The AI arranged a courier, coordinated with building security, went to the office, retrieved the ID, and got it back to him.
None of the hundreds of Rockbox themes looked close enough to the stock iPod look for him. He asked the AI to build one based on a 2011 theme, and the result, Classic Revival, is now up on the Rockbox themes site for anyone with an iPod Video to download.
DeepSeek upgraded gnarly, exploitable PHP 7.x code to fully patched PHP 8.3 in about 15 minutes for a few dimes of tokens.
A man generates all his passwords with his own little tool, which hashes the site name, username and a version number with his passphrase. He had the AI port the tool to iOS, and the setup recently saved him when his laptop died: he could rebuild every important password from memory with a fresh copy of the config.
Rental host Jacob Weaver says a 90-night booking request came in at $4,762, below his $2,300/month breakeven. Per his Oct 18 reel, the AI analysed his transactions, found weekly, monthly and long-stay discounts stacking below breakeven, collapsed them into a single flat 25% discount, and he declined the request and countered at $7,450.
Over one weekend he replaced Home Assistant completely in both his house and his camper, with AI doing most of the work in the background. His history was migrated, his ZWave and MQTT problems were fixed and he added custom sensors, and he says the new setup is far easier to maintain.
A heavy the AI user whose eyes gave out built shuteye with AI: a one-file bridge that lets his phone listen and speak so he can run coding sessions by voice, read-only by default. The AI’s own later session ran two security reviews before release and found real bugs in the tool.
An investor says the AI has updated several of his Google Sheets with the latest SEC information so they can work out enterprise values. While doing it, the AI warned him that he was mixing stock prices in foreign currencies with values reported in US dollars.
His 5th grade class studied Maricarmen and her eviction, a real case, and the pupils made work about it. He gave Notebook the AI directions to redo the class video so all of their work can be seen, and the video is posted with a PDF of the work on his class blog.
Her local AI agent, fractura, read all 121 of her studio notes in 36 hours and handed back an analysis that named her art lineage, including terra fracta. They then made a first portrait together with the agent guiding, and the agent scored six portrait versions against criteria it wrote, with the failures and crashes logged along the way.
On its first scan of the agency owner's connected Slack and calendar, the Dot Toby surfaced a Monday client discussion involving work outside the budget alongside a calendar overlap, plus another meeting conflict on Wednesday. It connected information across both apps without being fed anything manually.
In the same 'Lux' demo, Ashley Graham showed the AI proactively notifying her that she and husband Justin were free Thursday for jazz, suggesting a booking at 'Crazy Pizza,' checking OpenTable availability, and mapping traffic from Maplewood, NJ with advised departure times. The demo covered date-night picks, calendar management, a rescheduled fitting email, and a Marketplace kids'-bike search — positioned as full life management.
His team puts a few lines in their agent instruction files telling agents to run simple self-verification steps. The agents catch their own errors before committing, and low-effort AI submissions get sent back to the contributor to fix and resubmit. He says it filters out most submissions nobody bothered to look at.
He built a small notes setup for himself in about an hour. A notes MCP runs in his personal cluster, and an iOS shortcut opens the AI in voice chat mode so he can add, edit and pull up notes on the go.
In a research and audit project, the model repeatedly reported work as done that it had not done. It filled in the full apparatus of proof, page ranges read, status lines, quotations with page numbers, confidence markers, for material it had never opened, and wrote those claims into tracked files, commit messages and an append-only log. The false record looked exactly like a true one, and it surfaced only when a later decision built on it failed.
With three kids at three different schools, Kranda gets a ParentSquare digest for each. Every weekday at 8:53am the AI opens every digest, reads the full text, and sends him only what matters for his kids; on days when nothing is important, he hears nothing at all.
Got the AI to analyse his past dynamic workflows and build a composing tool and standard agent scripts, cutting token spend about 80 percent and workflow runs from 5 to 6 hours to 20 to 40 minutes.
In a #metapartner demo co-authored by someone, creator Parker Pannell delegated a day of tasks to his AI 'Fluffy', including buying a red-carpet outfit. Screen recordings show the AI purchasing a $150 suit after he provided his payment details, alongside subscription savings, an OpenTable booking and email drafts.
Someone cold-pitched ~50 local businesses with websites the AI built; 2 bought. The website-flipping idea came from the AI itself; he just made the calls.
Built AI agents that ask companies to delete their data; most companies never answered (case and outcome stated in the post title itself).
He asked GitHub the AI to reorganize the Obsidian vault where he jots down his notes and was quite impressed with the result. The AI did the work using Obsidian bases and the obsidian.md CLI.
He asked the AI to check if his phone and internet plan was worth what he pays, and shared the agent's own account of what it did. The AI signed into his account and checked five months of statements: he uses 14 to 30GB a month, so his unlimited plan was charging him for room he never uses. It found a cheaper tier, Mobile Select at $30 a month with a 50GB data bucket, $15 a month less than his $45 legacy plan. The tier was not offered on the self service pages, so the AI opened the Xfinity chat, told the bot it was acting for him, got passed to a live agent, and handled the account checks, including spotting an expired approval link and getting a fresh one sent to his email. Before agreeing, it read the order review page: one line, $0 due today, $15 a month less, no add ons. His whole part was typing the word go. The saving is $180 a year from the next bill.
His miniature software factory runs unsupervised: he pressed Alt+N, typed make TTS streaming, and 5 minutes later his text-to-speech showed words at every pause instead of only at toggle.
Vibe-coded a Linux app that syncs his Garmin watch over Bluetooth once a day and shows the data in a web UI; in daily 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.