A random mix from the whole library. Shuffle for a new set.
Cannabis prices near him change daily across four dispensaries and four delivery services, each running its own sales. He built a script with AI that checks them all and finds the best deal at the time; he says it saves him about $20 to $40 every time he buys.
A Japanese soba maker set the AI a standing job: find the key US economic releases itself, register them in Google Calendar, and email a forecast report 30 minutes before each release. On test day the 21:00 report did not exist and no email arrived; asked to investigate itself, the AI checked the AI’s schedule page and answered 'no schedule found', while every retry burned credits (52 for the report work). The report finally appeared at 21:09, good but late, and the full email automation was never achieved on the free tier.
A small-business owner who had stopped paying a leased accountant reported on X (via WhatAgentsCanDo, Oct 20) that the AI reconciled 10 months of bank statements in one evening, matched every client payment to its invoice, and closed the books to $0 uncategorized. It then set up a separate bookkeeper bot to keep the books current going forward.
He connected the AI to FreshBooks and ConnectWise through a connector he built, so his work time gets logged as he goes. Month end invoicing went from most of a day of typing to reviewing drafts.
The AI researched the user's glasses purchase, completed checkout, and now monitors the order every two days until delivery.
A renter hit with an Enterprise damage claim had the AI dissect the claim and draft a dispute email built entirely on its evidence gaps - photos with no timestamps and no walkthrough record showing damage. Enterprise replied the next day saying the claim was closed.
A second daily run at 7am screens stocks with high relative volume among the day's percent gainers and flags each one red, amber or green for his trading. He reads the flags and makes his own calls.
A man runs agents called Pi on a VPS behind a small app he had them build. One listens to a WhatsApp group and spots bills, a second Pi with DeepSeek reads each bill, pulls out the amount, due date and reference, and updates the database, and a merge step clears duplicates.
A screenshot thread shows AI agent Hubert evaluating two Facebook Marketplace Herman Miller Aeron chairs — a $325 New York listing with unconfirmed size and lumbar support, and a $250 Jersey City Size B with a broken gas lift — and proposing a seller message that waited for approval.
A Facebook group author reports using AI to renegotiate internet pricing across four accounts: The AI researched competitor offers and contacted providers via web chat, cutting AT&T home internet from $94.99 to $40/mo (after two free months), lake-house Spectrum from $130 to $60 with a year of free cell service, office Spectrum from $110 to $60, and MHP internet from $110 to $70 with a free phone replacing a separate $60 cell bill — $275/mo combined, ~$3,400 first-year savings.
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.