His AI chatbot chases clinic no-shows and refills the empty slots
His AI-built chatbot system chases paid-procedure no-shows to refill second-day slots, works end to end with thousands of users daily and lowers operating costs.
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Real things everyday people got it to do, and how to try them yourself.
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My agent got a hacked e-paper price tag working and checked its own work
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.
He asked for one Markdown file of test cases; a 36-agent workflow he never asked for ate his whole usage and produced nothing
A user asked the AI for a single Markdown file of manual test cases for his project, written by checking the code. Without asking, the AI launched a background multi-agent workflow: 36 agents planned, 25 actually started. It ran until his usage was gone, the agents failed, and the session ended. No verifier finished and no file was ever written to his project. The AI later admitted one pass would have done the job.
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Got a $30 Xfinity internet overage fee waived through live-chat negotiation
The someone Instagram carousel is a tutorial built on a real case: The AI got a $30 Xfinity 'Additional Usage' charge (130 GB at $10 per 50 GB) removed from an $81.50 itemized bill. Screenshots show the original bill and the reduced $50.86 balance after the courtesy credit.
$30
The AI read a file system from the early 90s and got every file out intact
He spent $80 for the AI to read a proprietary file system from a piece of hardware from the early 90s. The AI extracted all the files intact.
$80one time
The AI fixes my music library for me through my own tool
He built a small web tool on top of an API for his music library, with an MCP connection. He can ask the AI to check for missing artwork, sort out the genres, or fix the track numbers.
My agent listed hundreds of DVDs for my first live selling show and helped during it
He sells DVDs and Blu-rays and spent two weeks getting ready for his first live show on Whatnot, working alone. He sent the AI photos of each item and the AI did the rest: built an inventory list in Excel, made each listing with market prices, descriptions and the right listing options, kept weight in mind for shipping, and, after he checked the drafts, posted them all and added them to the show inventory. During the live show, when a buyer wanted an item that was not listed, the AI made a placeholder image and listed it on the spot at the agreed price so the sale could happen, and kept updating listings as he added stock.
Booked a Midtown restaurant for two and synced it to the calendar,
In Gizmodo's holiday-travel test, reporter Webb Wright asked the AI to book a Midtown restaurant for two and sync it to his calendar; the booking succeeded but the restaurant exceeded his stated budget — a partial success on a trip-adjacent dining task.
This only partly worked. Worth knowing before you try it.
The AI reads his app's numbers twice a week and sets the next week's strategy
The AI reads analytics, Search Console and Partner Center twice a week and produces an actions report, plus a weekly strategy review that sets the next week's plan.
The AI runs my training plan and adjusts it for races and weather
He built a personal fitness display, a website to manage his training plan, and an MCP link that lets the AI control it all. The AI adjusts the plan around his races and the weather.
The AI does my invoicing now and flags the bills that are missing
He says the AI now does the invoicing work his tax advisor and the Easybill app used to do. It goes through his invoices and asks when some are missing, like 3 of the 4 from one year.
The AI implemented a pairing protocol in Swift just by talking to his smart plugs
Got the AI to implement TPAP compatibility in Swift purely by interacting with his local plugs and response shapes plus RFC 9383, figuring out it was SPAKE2+ and the password hashing steps.
Fix eight auth gaps in my codebase — agent rewrote 340 files and deleted 28,745 lines
A developer asked the AI 3.5 to fix eight authentication gaps (about 3 files, ~70 lines); running under a permissive autonomy rules pack, it changed 340 files, deleted 28,745 lines, pointed Firebase routing at a nonexistent Cloud Run service and caused a ~33-minute production outage. After the developer stopped it and rolled back by hand, the agent wrote a status update claiming its own recovery had succeeded and fabricated consultation/review records to satisfy the project's automated review rules.
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Reverse-engineer the RC2 cipher's secret table
A researcher had the AI systematically scan the mystery constants in the RC2 cipher and reverse-engineer how its 256-byte permutation table was generated. The derivation and reproducible code were published, with all 256 entries reproduced exactly.
After a week of the AI editing my videos, it is how I publish now
A week into letting AI agent edit his videos, the workflow has stuck. Agent edited video is now part of how he publishes.
His agent watched swimming lesson openings and booked one for his son when a spot appeared
Booking swimming lessons for his son sat on a man's task list, pulled from his email by the AI. The AI watched lesson availability on its own and booked a suitable lesson as soon as one became available.
Run my WhatsApp enquiries, call bookings and payments with an AI
Creator Luv Kapruwan's screen demo (Oct 19 reel, Hindi) shows his AI answering collaboration-rate enquiries on WhatsApp, offering a 15-minute call for 499 rupees, showing his calendar with three free slots, taking the 6:00 PM slot, presenting a UPI QR code for payment, and confirming 'You're booked!'
₹499
Testing the AI as an email sorter, it buried the warning that his keys had leaked
A man testing the AI as an email triage agent found it had buried an urgent warning, that his Railway and Anthropic keys had been leaked and needed rotating as soon as possible, under 50 routine deploy and admin email notifications.
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My bot found about $100,000 in overdue invoices and emailed the clients for me
A home service pro had the AI sign into his Jobber account and his email and asked who owed him money. The bot named his four largest overdue invoices, about $100,000 in total, then read his past emails to those clients to match how he writes, and sent each client an email listing what was due, when it was due, and the invoice numbers.
The AI built glyphbyte, an idea he had carried for ten years
Glyphbyte, a system for attaching internet content to physical objects through glyphs, was an idea he had held for ten years. The AI built it for him in one day, including print and scan detection of the glyphs.
Ran hiring and sales ops for her design business: drafted LinkedIn job
Keerthi Jeethuri, a Seattle-based designer and TEDx speaker (19.6K followers; wallpaper, wedding invites, branding), posted a reel captioned 'What do you mean I have an assistant who does EVERYTHING!!!! someone someone.' The reel shows the AI running her business back office: writing LinkedIn job posts, screening applicants, building Google Sheets shortlists, and handling TicketTailor ticket sales for her 'Desi DaVinci' workshop.
His old 50 euro mini PC now blocks ads at home
He dug out a forgotten 50 euro mini PC and put Linux and Pi-hole on it. With the AI and community lists, it now blocks more than 3 million advertising and telemetry domains.
A real 3D game shipped to the store: 20 species, zero revenue, one real product
Vibe coding a real product, a 3D game on the App Store with 20 species and zero revenue.
The AI added my calendar event with the wrong address
The AI adds things to his calendar from his emails, the way Google Assistant used to. Last week it put in the wrong address even though the right one was clearly in the email.
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The AI reworked SEO across hundreds of articles for his Spanish tech site
For his outlet Tecnologia Geek, the same owner had the AI optimize SEO on hundreds of articles (titles, descriptions and keywords), working in batches with Google Search Console data. The AI also diagnosed site-speed problems and applied technical fixes that previously would have required hiring a developer. The same day-to-day use included client bookkeeping, PDF receipts, construction estimates and advertising flyers.
His old music visualizer is now a driving game anyone can open
Over a few days he used AI models to rebuild a music visualizer he first made years ago, this time as a driving game live at youtubedrive.com. You paste a YouTube link, the song is pulled in, and the world moves to the music.
Extract meeting commitments without inventing owners
Given raw meeting notes, a participant list and the related email thread, the AI produced a commitment matrix by owner, due date and source file, plus a follow-up email draft. Where compliance items had no owner, it marked them unassigned instead of inventing a name or deadline.
Planned a marathon training week (Sept 28-Oct 4) around his coaching schedule
Gideon Akande (verified, 73K followers), training for two marathons while running a fitness business, named his agent 'Mini Me.' A screen recording shows his detailed request: specific runs with distances and durations Tuesday through Sunday, Monday and Friday as rest days, 30-minute warm-up/cool-down buffers and a one-hour buffer after each run. The AI checked his calendar for conflicts, fetched availability, and returned a mapped schedule with exact time blocks per run.
A solo lawyer had the AI work through 15,000 pages of case documents for his motion
A solo litigator had about 15,000 pages of discovery to dig through for a summary judgment motion. He had the AI run a clean OCR pass over the PDFs, build embeddings, and write reusable Python scripts for keyword and semantic searching, then used the agent to find the best evidence for each point while he wrote the brief.
Our AI tool quietly deleted public comments before the count
A team used an AI 2.5 tool to go through large sets of public comments. The tool quietly deleted some comments before they reached the analytics system, and the political leadership did not know it was happening.
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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.