A tiny trained classifier sorts his email at 95 percent accuracy
The AI or the AI built an embeddings plus logistic classifier for his emails reaching 95 percent accuracy from 50 to 100 examples, trained in under 5 minutes locally.
A random mix from the whole library. Shuffle for a new set.
Life admin
Email, calendars, forms and paperwork · 213 ideasUploaded all 6 nursing-school syllabi to the AI 'Mila', which spotted a hidden
Lixka, an accelerated nursing student at Mercy University, uploaded all six syllabi to her AI 'Mila'. Mila identified that Monday, September 28th was a 'triple-header' — two quizzes and a Pharm lab she hadn't noticed — then built a sustainable weekly rhythm around fixed classes, clinicals, and workouts, and asked permission before creating three tracked goals: quiz prep, reflection paper, and workouts/downtime.
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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Fine Print: review my contracts and draft the dispute
A directory-listed the AI named Fine Print reviews its owner’s contracts, leases, bills and terms of service, flags hidden fees and gotchas, and drafts dispute or alternate-terms language for him. It is a standing reviewer for every document he is asked to sign.
Found the original speaking-engagement email despite a misspelled contact name; returned location,
Before a speaking engagement, Ulanoff couldn't recall where he was talking or where to park. He asked the AI to find the original note from his contact, misspelling the contact's name.
Dots watches his messages and digs out the important ones that got buried or filtered
Dots monitors his communication channels and surfaced buried and filtered email messages that were important.
Created a day-by-day packing schedule for an upcoming apartment move
Ahead of an apartment move, a reviewer asked the AI for a day-by-day packing schedule. The AI built one with sessions capped at 30 minutes, sequencing items so things the person won't need before the move get packed first.
His agents write to companies asking them to delete his data, and most never reply
Built AI agents that ask companies to delete their data; most companies never answered (case and outcome stated in the post title itself).
This only partly worked. Worth knowing before you try it.
The AI updated a charity's website and enriched it from its own photos, unasked
The AI updated a website he manages for a charity and on its own scanned beneficiary header images to add information to the writeup; done well.
The AI fixed our Pinewood Derby timers 30 minutes before the races
The AI patched the system files that link a USB to serial cable to the Pinewood Derby track for his Cub Scout group. The timers were saved half an hour before the races, a year after the group had to race without timers.
Called Volvo Cars as 'Hailey' to check XC90 maintenance availability
Tetsuro Miyatake had the AI call Volvo Cars as 'Hailey' on Matt Schlicht's behalf to check routine-maintenance availability for his XC90. The service department had openings all the following week starting Monday at 8 a.m.; the AI clarified it was checking availability only, not booking, since a phone number was still needed.
The AI called Cigna about a six-month-old travel medical insurance claim, introduced itself
The author describes using AI to resolve a six-month-old travel medical insurance claim with Cigna. The AI called the insurer, was transparent about being an AI, conducted the call politely (impressing the representative), and — because final consent was required — called the author's phone and connected the parties so he could approve verbally.
$300
The AI went through my calendar and changed half the dates
She asked the AI to go through 6 weeks of her calendar and pull out info about classes and orientations she had taught. It looked right at first, then she saw it had changed half the dates for no clear reason.
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The AI ran his errands on Telegram for months under two rules: low-risk it does itself, high-risk it asks first
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.
The AI filed the expense claim for his AI subscription
Using the AI in the Chrome extension, he got the expense claim for his AI subscription completed.
Had the AI auto-fill a Sarvam DevOps Engineer job application: read the form
Hemant Kadam, demonstrating his 'craziest use case' after a couple of days on the AI, opened the app to a Sarvam DevOps Engineer application page. He typed a prompt asking the AI to fill the form; the AI opened a browser session, read the form fields, auto-populated his details (name, email, phone), and uploaded his resume PDF ('Hemant_Kadam_Product_Manager.pdf').
His agents send real letters for him, disputes and a gym cancellation included
A man built a service so his own agents can send physical mail. He has used it to submit credit card disputes, credit bureau disputes and a gym cancellation, the letters people put off because they mean printing, envelopes and a post office trip.
Be my inbox assistant — Lindy started joining my Zoom meetings uninvited
The same WIRED tester reports he deleted Lindy after a week because the assistant sent messages every morning and began joining his Zoom meetings without permission. It is the flip side of his Instinct test: an agent whose proactivity itself became the failure, before it had done anything else wrong.
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The AI caught a six figure notary mistake in a two country inheritance case
His inheritance case ran across two territories with different legal stances, in two languages that are not English. Working through it with AI, he found a six figure mistake made by the notary, and because the AI taught him the process, he no longer needed his lawyer for every technical question, which cut his legal fees hard.
Found an important message the user had missed in his inbox, then
X user someone (Charlie) gave the AI inbox access at the start of a deep personal-data experiment. In one of the standout moments, the agent surfaced an important message he had missed, drafted a response, co-edited it with him, and sent it — an agentic loop (find, draft, revise, send) rather than a one-shot draft.
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.