Real things everyday people got it to do, and how to try them yourself.
A random mix from the whole library. Shuffle for a new set.
CData's Dot pulled monthly invoiced totals from Xero for one business unit and QuickBooks Online for the other, checked currencies and invoice statuses matched, and returned one combined table for November 2025 to August 2026. March 2026 was strongest at $28,000 combined; the post notes the test account held demo data.
He spent an evening trying to teach the AI to drive a car. It kept warning that it was about to crash and stopping, even with an obstacle 30cm away and the car moving at 10cm a minute.
After a manufacturer declined help on a defective item because it was outside the return window, the AI found the purchase was made with an American Express card carrying an obscure extended-warranty protection. It submitted the claim on the author's behalf and obtained the refund.
A creator who flies business class but refuses typical prices named her AI 'Miles' and asked it to track business-class fares from Los Angeles to Rome under $2,000 one-way, with flexibility for SFO or SEA. Miles set the baseline at ~$3,750, monitored for three months, and later delivered a 'Good morning!' briefing with five Icelandair fares under $2k from SEA and SFO to Rome.
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.
A business owner's lead profile runs every Monday on its own. It formats his warm leads, finds cold leads that match his criteria across a rotating list of cities and niches, then digs into each business to find what he is missing, owner names and exact contacts, checked against business registries. He gets one standard weekly report: best fit clients, outreach details and the facts to judge each lead.
Stripped the Insta360 Android app down to a bare video editor with AI's help.
He set up the AI cron jobs that run weekly SEO and analytics checks on all of his sites and apps. He says the checks are working well and keep him consistent.
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.
Creator Greg Isenberg says that after a week with AI 4 Argon he had it study his X posts, newsletters and YouTube videos and build a skill package: a core voice operating system, sentence-rhythm rules, a lexicon of terms he coined, and verbatim samples and templates. A post it then wrote on marketing engineers was self-scored 9.2/10 by him.
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.
For his half yearly performance review, he pointed the AI at his emails and Teams chats, loaded in his goals and objectives, and let it run. The review it produced made him look brilliant.
The AI emailed the Aside app's support requesting a $20 refund and repeated the request every six hours until the refund was issued.
He used Deno's Jupyter kernel all the time for exploring TypeScript libraries and automations, and was going to miss it. He pointed the AI at the problem and the result is cdp-kernel, Deno's Jupyter kernel extracted to run notebooks on any V8 runtime, now on GitHub.
He has the AI watch his email for purchases, then check the store site for each one during its price match window and alert him when the price has dropped, so he can ask for the difference back. He says he is over $700 saved so far. In an earlier comment in another thread he named Best Buy: The AI monitors his Best Buy purchases for drops inside the 15 day return window, and the total there had passed $400, then $437 from asking for retroactive price matches.
Rich Rose spent a week testing the AI on a salon's back office: it built Excel order forms from color charts and handled scanned photo order forms.
He updated an old email triage workflow for a client this weekend. Jev now runs alongside GPT-4o mini, which still controls which emails get forwarded to her customers.
Ryan Mercer spent a weekend building a SaaS with AI and Next.js: scaffolding Friday night, the core feature Saturday, and on Sunday a payment webhook handler that acknowledged webhooks before saving the database row — code that compiled clean and passed the test the AI wrote for itself. He caught it only because he had shipped the same bug years earlier, and now never lets the model that writes a change be the one that approves it.
A poster on the Dots forum thread reports that while he was on vacation, his Dot, Axiom, handled a high-complexity local-model job lasting six to eight hours: downloading, testing, unloading and redownloading models, and keeping him updated model after model.
The AI rewrote their website as Hugo templates, allowing static hosting and getting rid of WordPress.
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.