A man fought USAA for over a month over the right deductible for roofing damage. The AI read his insurance documents and helped him keep a running argument, and he won and saved $1,838.30.
Simmons asked László to check in with his father once a week about the business sale and report back, judging his father more likely to talk it through with an AI checking in than to raise it with his son. The article records the arrangement being set up, not its later results.
This only partly worked. Worth knowing before you try it.
Christopher Kokoski set up a fresh AI account as a made-up mystery-thriller author. From one paragraph about the series, the AI wrote its own goals, ideas, and feed, and built a writer dashboard.
Shana asked her AI 'Marigold' for gift ideas for her dad, who likes golf, capped at $250. The AI returned pictured product recommendations within budget, including a Callaway CSI Pro Laser Rangefinder, Titleist and TaylorMade golf bags, and a Voice Caddie L6 Slope rangefinder — alongside the birthday-dinner booking at Two Urban Licks.
He runs Nostr relays for clients. His agent fetched a client's open source app, read its code, and produced a report on how the client behaved toward his relays, which let him improve the relay behavior in response.
The AI makes his listings for eBay and Facebook Marketplace and researches what similar items sold for. He approves the price before anything goes live and sends the photos himself, which he says keeps the listings honest.
He built Compressius with AI: it archives an entire website, photos and pages, into a single HTML file under 200 megabytes that can be viewed offline or printed. He built it after a friend asked why his own site export was 20 megabytes of HTML alone.
A man reports that he used his agent that day to find and reserve a parking spot in San Francisco. He had earlier used AI to gather his AWS invoices for a reimbursement.
He built Stackboard, a free Chrome new tab page that shows your own bookmarks as a board. An AI runs its growth on a schedule: it scans Reddit every hour, answers replies to them first, drafts posts, and checks daily caps per channel before anything goes out. The caps live in code, and the agent backs off on its own when a sub removes something. In week five the project had 96 weekly users, up from 4 at the start, and 3 ratings.