His scraper keeps price and quantity history from two big stores for him
Built a purchase history scraper for Amazon and Kroger with price and quantity history views.
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Built a purchase history scraper for Amazon and Kroger with price and quantity history views.
From the same day to day list, with the exact wording shared so others can copy it: every weekday at 11 am his AI checks AMD, Intel and Dell, and only pings him if one moves 5 percent or more or there is major news, staying silent otherwise. He presents it as the model for how he uses the agent: quiet ongoing jobs with a clear trigger, not a stream of updates.
After Amazon blocked automated login windows, a user built a small HTTP API on a machine they control. The AI SSHes in and calls http://127.0.0.1:8792 to search Amazon and add items to a personal or Prime Business cart (no checkout).
Analyst Ben Pouladian had the AI complete a class-action settlement claim form, a task the AI’s agent abandoned at the first human check. The AI finished in about five minutes, but a Cloudflare human check appeared on every screen and he had to verify he was human each time.
His AI watches prices on things he has bought. It flagged that two $67 Jos. A. Bank shirts from a recent order had dropped to $39.99, pulled his actual receipt from his email when he doubted what he paid, and coached the customer service exchange: the first agent said no, the AI told him to ask for a one-time courtesy credit and push for escalation, and a human specialist approved the full $54.02. Alert to refund took about half an hour.
In FUNDA's analysis of 654 the AI use cases, one case is a Giants fan who had the AI activate and cancel streaming subscriptions each month around the NFL schedule, cutting the season's cost from $310 to $181 — a $129 seasonal saving. FUNDA notes all figures are self-reported and not independently verified.
Had the AI install DuckDB and it is now running automated exports into DuckDB for his budgeting.
A materials scientist with a PhD and almost no coding background built and shipped a live stock portfolio tracker over about three months and 277 commits, pasting code blocks the AI gave him into a terminal and pasting the results back. The tracker is not about returns: it makes him write down why he bought a stock and what would prove him wrong, then pressure tests his reasoning and scores how well his past calls held up.
A renter fed the AI his lease, the deduction statement and move-out photos after a landlord withheld a $1,200 cleaning fee from a $2,500 deposit. The AI checked California law and wrote a dispute letter citing the statute, and he recovered $950.
After a Zapier writer connected his dot to his real Google account, it proactively flagged card payments that had bounced and suggested ways to fix them. He ended up having to cancel a card.
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.