The AI found over $1,000 of his unclaimed money in Michigan
A podcast co-host gave the AI access to his bank accounts and used it for six days. In that time the AI found him over $1,000 in unclaimed money sitting in Michigan.
Real things everyday people got it to do, and how to try them yourself.
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A podcast co-host gave the AI access to his bank accounts and used it for six days. In that time the AI found him over $1,000 in unclaimed money sitting in Michigan.
His company asks for a review after every job. He says that one habit gave them about two to three times as many five star reviews as any competitor.
Their Ninja oven died with a mystery error code. His AI researched the fault, dealt with the support case, and found the manufacturer needed purchase details, but the oven was a gift from his flatmate's dad. The agent chased the flatmate by email and Instagram DM until he sent the receipt, then sent everything off to the manufacturer. The case was unblocked.
The AI pulled all the interesting footage and shots from a 24-hour public tourist webcam and produced a shareable artifact.
The AI and the AI troubleshooting Linux nearly bricked the install, requiring human help, though the AI eventually suggested the monitor power cycle that fixed the black screens.
The AI helps him put GA4 and Microsoft Clarity tags live, with reviews and confirmations built in so he can check the event triggers fire. Cross checking the two tools showed bots being lumped into direct traffic.
Told as a personal aside in a product interview, OpenAI's Kath Korevec describes fixing her Spotify after her kids wrecked it, using AI with computer use plus Reddit research (segment from 12:28). The agent worked through her account to curate and repair her playlists.
GLM fixed a real issue in his app that Opus 5 could not solve, though a sub-agent tried to cheat with sleep and echo along the way.
Reality-TV personality Cory Wharton documents training for the NYC Marathon using his AI 'Anthony', set up as a world-class marathon coach (#metapartner video). Anthony provides his weekly mileage plan, sends check-in notifications, tracks completion in a Marathon Prep Tracker (shown progressing 8/10 to 10/10 miles), and helps strategise fundraising that reached $11,309.52 — 282% of his $4,000 goal for the Children's Heart Foundation.
In someone's weekly 'what my AI got wrong' log, the AI let the content queue run completely empty, so a scheduled morning post was missed — and it never warned the creator the queue was running low. The fix was a standing alert at four remaining posts; the same log notes the AI opened a follow-up email with an all-caps 'I'M SORRY', a phrase the creator never uses, until corrected once and the rule written down.
He used AI to build his own to-do and budgeting apps that work the way his brain works, after never finding apps that suited him. The AI also taught him how to sideload them onto his phone, and he calls it a game changer.
The reviewer is signed up for a Southwest promotion: 20,000 points for eight one-way trips by October. He asked the AI to check Rapid Rewards activity, find flights in the travel period, and cross-reference Gmail receipts to verify they had the corporate ID required for the promotion.
Independent musician someone lists 11 daily tasks he delegates to the AI: Gmail cleanup, Meta ad campaign management, email list building, unclaimed royalty tracking, PayPal subscription audits, a disco-house culture digest, Instagram DM opportunity scanning, tour travel booking, gear deal hunting, finance consolidation and streaming stats. He states in replies that he is not paid and that the AI is free.
Aggie Lal (verified, 1.7M followers), a mom, asked her AI 'Munchkin' to process her ~14,000 saved Instagram posts. The AI identified themes (high-protein recipes, parenting, postpartum recovery) and generated organized PDFs: 'Saved Recipes' (Protein Power Bowls, Cottage Cheese Everything, crediting original creators) and 'Parenting Tips'.
NTT used AI Enterprise to rebuild data access and retrieval. Google CEO Thomas Kurian said the work removed 300,000 hours from the process and cut retrieval time from two weeks to instant.
Six months ago he asked various AI agents to generate 3D print models and they failed badly. This time the AI made him a jig for laser etching and got it ready for slicing and printing.
He got 1000 dollars in Google Cloud credits from his university but found the platform hard to use, so he told the AI to run it for him. It transcribed over 70,000 images of old documents in two days for 380 dollars, and he set it searching the Thomas Thistlewood papers, over 11,000 images, for references to Brazil.
The AI modified a NYT-style web game in about 10 minutes to change the rules for his wife; she was delighted.
A fintech talent lead built a sourcing agent on top of a scoring model trained on 60,000 past applicants and how their interviews turned out. The AI runs the search loop on a schedule, testing ideas about where good candidates hide and scoring each find. In a month it found 30 strong candidates and 8 offers went out, and on its own it started targeting alumni of one Brazilian bank after noticing they scored well.
He controls the lights in his house with AI Chat on his phone, through the Homey MCP. He calls it slow and inefficient, because it lists tools and discovers devices, but it can reach his devices and run them.
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.