Remove two credit collections within an hour of disputing them
The AI submitted credit disputes for the user at 7:09pm and both collections were deleted by 8:25pm, inside one hour.
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The AI submitted credit disputes for the user at 7:09pm and both collections were deleted by 8:25pm, inside one hour.
Ulta Beauty built Ulta AI on the AI Enterprise to guide shoppers through more than 30,000 products, turning questions into personalized recommendations. Website conversion rates tripled.
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.
After dry-running a personal-assistant the AI through August, its owner let it pay a real $3,731 bill that arrived by email; routines now watch his Gmail for invoices three times a day. The first live payment went through under the watch setup he had tested for a month.
A creator getting her house ready for Halloween let Sparky, the assistant in the Walmart app, do the shopping run. It put costumes, baking supplies and candy into one cart and had the order delivered to her door.
He built a workflow that connects to their bank accounts and credit cards through Plaid and emails him and his wife a budget update three times a week, showing how they are tracking against the budget, with spending analysis and suggestions for cheaper alternatives.
Stanford EE student (310K followers, 'sage') documented upgrading her electronics lab by using AI (nicknamed 'Chef') to compare Facebook Marketplace listings under $200, identify a Hakko FX-888D in Los Angeles, message the seller directly, and negotiate the price down by $50. She picked up the boxed unit, unboxed it at her workbench, and thanked the AI on camera.
A man gave the AI strict tag research tasks and had it work through the whole ticker list again and again, searching and comparing XBRL tags in SEC filings. The pipeline now pulls 10-K and 10-Q filings for more than 600 companies, maps tags onto about 35 financial concepts, and produces cleaned data. Doing 3 tickers by hand had taken him about 3 weeks and still gave wrong data.
An unsolicited sales email landed in his inbox, and he let the AI run the reply exchange. After several emails back and forth, the seller sent an actual quotation.
Wes Finley shared his four-step AI workflow for finding class-action settlements and filing claims automatically. Commenters chimed in with their own results, including $400 payouts.
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.