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 ideasThe 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.
A Scheduled Spark Check Ran on Its Own and Surfaced a Bill and a Government Notice
Spark turned one plain sentence into a scheduled task, ran it at 4:11 PM without the user opening the AI, and sent a phone notification. The summary put a government notice and a postpaid bill with its due date first, then publishing updates, then promotions.
Security-review a suspicious email that passed every check
A Tesla engineer got an email that passed SPF, DKIM and DMARC and showed a verified check, but felt off, so he had his AI review it without clicking anything; the bot found a hidden phishing link, explained why the standard checks had passed, and wrote a report to xAI with a proposed fix. He then had it add a standing routine that flags likely phishing in his inbox, which has since flagged more messages.
Explain my situation and find the welfare payments I can claim
A builder used AI to make a 'describe your situation' tool over Australia's official welfare pages: it takes a one-sentence description, works in 24 languages and shows which Services Australia payments might apply, each linked to its official page. Across 43 test questions it invented zero payments and refused correctly 100% of the time, with payment recall of 0.76.
Email my speaking agent about a possible November scheduling conflict
Kicker emailed Newton's speaking agent, with his permission, to clarify a potential scheduling conflict in November. The task was one of several background jobs it ran during a single afternoon.
The AI built a label and filter system for a crowded inbox
The creator set up the AI on its own computer, connected Gmail, and used AI to write the bot's voice and brief before testing it on a throwaway inbox of 745 threads with zero labels. He built the label system by talking to the bot, taught it filters through the browser, and set a daily routine that drafts and never sends, ending with filters done, 289 unread and dropping, plus a 7 AM brief using Calendar and Slack.
Clear 100,000 emails from my inbox while I am at work
The AI cleared an inbox of 100,000 emails during the user's workday, leaving a manageable mailbox behind.
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 mapped the missing road to the takeoff spot
The road to a takeoff spot they fly from was not on OpenStreetMap, though satellite images showed the track. They built a tool called osmctl, and the AI drove it and mapped the road.
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.