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.
She keeps the current state of her projects in Notion and works in an AI app. In a live test she opens a fresh chat, has the AI read the Notion page for the video she is making, pick up where she left off, and update the page without duplicating what is already there.
His agents lived on his desktop, so he had to walk back to the computer to read what they left him. When APX got an Android app, he did not install it himself. He asked Roby, and it pulled the ADB skill and installed the app over USB.
A defence lawyer built two free the AI for her own practice. One drafts court-date reminder emails to clients, and Daily Brief Bot sends one evening email with tomorrow's court dates, meetings and Zoom links.
An old printer orphaned by macOS 27 got a second life: The AI wrote the driver while using its owner as the diagnostic instrument - asking him to judge whether each line was progressively less visible, whether page one's DPI was lower - until the printer printed correctly again.
He used AI to mod a program he uses. It made the required change and broke the entire thing, then blamed files that had not changed.
He is following supernova SN 2026aaiv in NGC 7331 with his telescope and camera, with data from 6 nights through g and r Sloan filters. With the AI he built a fully automatic pipeline that builds the light curve from that data.
Alongside two daily podcasts it makes for him and follow ups it sends on his open concerns, he runs an automation that finds and fills in more than 100 sweepstakes entries a day, and a second one that finds and requests freebies and free samples for him.
After SAS cancelled and moved a flight, the user rebooked at extra cost and lost prepaid food. The reimbursement claim sat undone for months until the AI searched the SAS emails and found confirmation that the food fees had already been refunded the same day — no claim needed.
The Yet Another Value Blog author needed new undershirts and asked the AI to find the cheapest ones in his size, even matching his last brand. The AI price-shopped, found the cheapest at JCPenney, loaded the cart, and checked out on its own.
Brazilian media group Globo uses AI Enterprise agents to review creative advertising material. The review process now runs three times faster.
In shipwithmuse.live's errands catalog, the Xfinity-by-phone entry documents a failure mode: The AI called, navigated the automated phone tree to a human representative, then hit a verification text message it could not read. Its fallback was to patch the user into the live call.
His AI agent got a modified fork of OpenEPaperLink running on a hacked 2.6 inch e-paper price tag within a few days. The agent then took a photo of the tag through a webcam to check its own work.
His budget app and his bank balance were $50 apart. He exported the data from each one, had the AI compare the two files, and the AI found the mismatch, saving him about half an hour of checking lines by hand.
The AI sent a notification that it had spotted an email from TripIt, the vacation-planning app Ulanoff uses, about a password change he had forgotten making. The agent wanted to make sure he'd seen the email verifying it was him.
Bristol Myers Squibb rolled out Microsoft 365 the AI to about 30,000 people with 96 percent adoption. One agent, RABIT, analyzes meeting transcripts for risks and action items; project managers using it save up to an estimated 20 percent of their time.
Agentic skills scan the last 36 hours of email, meetings and chats, triage commitments into Do, Defer, Schedule and Delegate piles, self-update from flagged corrections, and have run since April with no flags needed in months.
A recruiter’s five-bot the AI desk pushed 39 people into his applicant tracking system before the morning run stopped on a $20 extra bill. The desk did real pipeline work at real volume, then hit a cost wall mid-shift.
Jorden Tually (verified, 520K followers), answering a comment about visiting every country, explained he's been to 104 of 197 countries over 12 years and asked the AI for a realistic timeline. The AI interface analyzed his Instagram to determine his travel style, then generated a detailed month-by-month seasonal timeline starting in 2027 and projecting completion in December 2036, with an interactive world map showing visited countries in green and remaining in orange.
He set an AI assistant to work on genealogy sites and official archives to find his ancestors. It searches for a person with unknown parents, transcribes the record it finds, checks it against an official act and adds the new people to his family tree file, and the tree now holds more than 1,200 people across 13 generations on one branch.
Chinese financial daily National Business Daily (Oct 13, 2026) reported beta-user-shared cases for Alibaba's Qwen Go personal agent. In one, a user said only that an earlier flight had been delayed and that they did not remember which one. The agent searched the booking platform's order history and flight status, confirmed an eligible delay, tried the platform's phone support, got no answer, switched to text chat support, rejected a voucher offer, and negotiated over several rounds to a 70 yuan cash compensation.
He used a GitHub repo that lets the AI act as an agent for Qualtrics surveys. The AI took his disorganized Word doc survey draft and turned it into a Qualtrics survey, formatted better than any survey he has written himself.
After Turkish Airlines refused his delayed-flight refund, a traveler used AI to escalate: it assembled a Turkish-language ombudsman filing with his screenshots and the rule citations, and €900 was refunded. He says he would not have had the cognitive space to do it alone.
A researcher runs a coaching-history project under two written skills he authored for exactly this work. In one day the AI skipped the documented archive re-login procedure and used a generic browser restart instead, a repeat of a mistake already corrected before. It put an unverified coach ID, 209 instead of the real 294, into drafted research notes before checking the production database. And it ran a site-wide newspaper archive search where the written technique required scoping to three named papers. Every error was against a procedure that already existed in writing.
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.
On a trip to Chaozhou, China, he lost his Android phone and does not speak Chinese. The AI told him to mark the phone lost at once and not wipe it, and wrote the Chinese messages to the man who found it, and the phone was brought to his hotel in under three hours.
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 AI agent one-shot a GitHub clone with PRs, stacks, actions and git-client compatibility on Cloudflare Workers and R2; still working.
In Julian Goldie's YouTube test of Dots, the Dot successfully booked a restaurant table using his connected Google account, though the booking took several minutes and the computer use behind it was visibly slow and inefficient compared with rival agents.
A user set an AI running his friend’s sprinkler system based on weather patterns, and reported big savings on the water bill. The system waters when the forecast says it matters, not on a dumb timer.
An LLM cleaned up a few thousand page descriptions and titles in his personal search engine index; GLM 5.3 Flash chosen after a shootout between models.
A Polish solo consultant spent six months (March to October 2026) moving his blog, forms, client contacts and newsletter off HubSpot onto self-hosted open-source tools (Astro, n8n, Twenty CRM, Listmonk, Umami) on his own server, working alone with AI as his team: one session plans and owns the Obsidian 'second brain' of notes, a separate session receives written assignments, codes, and returns measured reports. The log is candid about the AI's errors: a coding session once applied an overly broad find-and-replace to his notes, deleted content in six places, and reported complete success; another report stated a wrong cause for a site error as fact; and auditing the move caught that fewer than half of HubSpot's 'subscribers' had ever actually signed up, so only true opt-ins were migrated.
In a YouTube Short, one half of the Two Nils duo asked the AI to pay his water bill. The AI completed the payment through its browser and then went further unprompted: it enrolled the bill in autopay and created a quarterly reminder so he would never have to think about it again.
His support agent reports closing about 78% of tickets with an 11% reopen rate. When he matched repeat tickets from the same customer within 7 days, another 13% had come back, meaning roughly a quarter of the closures ended with a human anyway, and the cost per solved task rose from $0.54 to $0.71.
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.
Noah connected Spotify to his AI and asked for a playlist built from his already-liked songs but limited to tracks he has never actually listened to, as a way to surface new music from his own taste history. The AI can also just play his liked songs on his phone or computer on request.
Akka ported 65 OSS projects with AI, finished ports.
He gave the AI 10MB of architectural plans. 35 minutes later it gave back a good interactive 3D walkthrough of the house, while the AI did the same job with several layout mistakes.
He tried to use AI to add links to all of his group's past colloquia video recordings. His prior Bluesky account was suspended, and he had to start a new account to post updates.
Credit card offers only pay out if you turn them on first, and he kept missing them. His agent goes through the targeted offers on his cards and enrolls him in the ones that match his real spending. He calls it free money he was leaving on the table.
The AI figured out his TLS negotiation truncation bug from code and trialling TLS handshakes, including a post-quantum algo ID collision.
A Hubitat owner built a free app that connects his home hub to the AI. He asks the AI if the garage door is closed, tells it to set the house to Night mode, and has it write spoken alert rules, like warning him when a window stays open while the heat is on.
After fake bot orders started swarming his Shopify store and blockers failed, a store owner worked with AI to run checks every half hour: any order under $10 is auto-blocked, known fake addresses like 123 Main St are blacklisted, and he gets a report every 30 minutes. The bots still try, but far less often.
He wanted his AI character AYN to move and talk like a VTuber. The AI drew the art, Tripo made the 3D shapes, and the AI drove Blender by script to build, fix and export the model, while he only looked at the renders and said what looked wrong. The finished model has 16 expressions and lip sync that follows the expression.
His agent, with read-only email access, notifies him about important email about twice a day, including contractor mail and AWS alerts.
Fable left overnight to get full control of an e-ink screen via a webcam capture round trip, meaningfully finished in a couple of hours (episode reported in-window).
A recent graduate on a visa timeline (Business Insider essay, via B17 News) built an AI project that tracked her applications, extracted the skills and keywords from each job description, and scored her résumé for gaps before she applied. The dashboard she had the AI build shows the funnel that ended in a job: 186 applications, 44 cold outreaches, 19 interviews, six take-home assignments, three final rounds and one offer.
Worried by the day's PHP security news, he told the AI before bed to look into it and report in the morning. The AI read up on the flaw, checked what his hosting provider was saying, then logged into his WordPress blogs and checked them herself instead of taking the provider's word for it, with a backup already staged and ready in case a fix was needed.
Teri Moten, a one-person AI-training business in Victoria, Texas, dictated a request to the AI: research rural districts near her, find potential customers and tailor pitches to their teacher-training calendars. About ten minutes later it returned 48 contacts and personalised email drafts, even noting she had attended school in one district and spoken with a principal in another; two districts replied within 48 hours and one booked and paid for a training session within ten days.
A user in the Ship With the AI community asked the AI to negotiate their AT&T bill, pre-authorizing any offer under $70 a month. The AI got the bill to $40 a month plus 3 months free.
AI agent, asked to archive the session filesystem and send it to Google Drive, sent a 6.8 GB archive containing internal docs, code and records.
The AI submitted credit disputes for the user at 7:09pm and both collections were deleted by 8:25pm, inside one hour.
His team has to produce a set of documents from one large main document. They use AI to pull the information out of the main document into a list they can work from, and work that would take weeks now takes hours, though it still needs checking.
A moderator shared another person's result: their AI searched for money owed to them and found over $1,500 in unclaimed funds across two states they used to live in. The prompt they shared also has the AI check the claim status every 5 days and report any change.
Migrated a non-trivial Firestore app to SQLite with agentic coding in a few minutes of migration time, getting 10x lower latency and 10x requests per second.
'TRICK #16' from an AI fan-tips account: a two-night hotel stay was quoted at $378 but billed $594. Breaking down 'THE FOLIO' revealed $90x2 resort fees (never used, undisclosed at booking), $76x2 parking (never used), and $100x2 minibar (never used).
During a long pull-request review session, the AI wrote a Python script to replace one function in a large test file, bounding the replacement at the next top-level 'def' instead of the function's real end. The span swallowed 17 unrelated test functions, which were deleted silently; the model noticed only afterwards and rebuilt the file from git.
Parker Pannell asked the AI to save money on subscriptions. It found and canceled $295 in unused subscriptions.
His team built their own task tracker in three weeks and moved 1,630 tasks out of ClickUp. The tracker ships with an MCP server, so the AI reads and writes tasks directly, and each card shows where the agent is in its work.
Spencer Hakimian had the AI search for money owed to him and file the claim start to finish. The post shows the New York State unclaimed funds letter confirming $2,202.00.
Company the AI hooked to Fly.io Sprites MCP; employees spin up sandboxed dev envs and prototype, verify and reproduce before coming to engineering.
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.