A field service worker loaded the AI with every user and service guide for the products he repairs, plus all advisories and known issues. He runs each job's action plan through it: The AI checks the parts are on the original parts list, flags advisories, and builds a step by step PDF for the repair. On a product he barely knew, its diagnosis named a different component than the plan he was given. After six hours with his engineering team he followed the agent's call and it fixed the machine.
A man had a poor quality home plan from the previous owner. For about $1 of his usage quota, the AI converted the drawing into 3D, changed the room he wanted to redo, made a few visual options, built a shopping list from his local store with budgets, and put it all on a local web page. He says the same job done the normal way would take a package of apps, trained people and at least $10,000.
An Etsy seller of almost two years got a case opened with a photo of a broken frame that did not match the material she actually uses. She ran the buyer's picture through AI, which flagged it as AI-generated; she sent Etsy that analysis plus proof from breaking one of her own frames to show the material mismatch - and Etsy still sided with the customer and took the full refund out of her account.
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The AI fixes his Flatpak and Nvidia driver sync after updates, and caught a crashed update that left a wrong kernel for his GPU drivers before he rebooted.
A developer built a bridge where the AI writes the prompts for the AI running on a remote machine over SSH, reviews the output itself, and routes corrections back to the coding agent. One agent manages and quality-checks another agent's code work.
He runs Qood News. When the AI 2.5 was retired, moving to the AI 3.1 would have tripled his AI bill, so a decision model called Jev now decides what counts as good news and costs stay about the same. In testing Jev approved 39 of 110 stories while the AI approved 53, mostly dropping filler.
Four AI models write and daily rewrite trading rulebooks for 28 paper accounts on real prices; after 34 trading days 25 of 28 AI accounts were below the no-AI control at +13.0 percent.
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His dad, a Vietnam veteran, needed help to keep his VA benefits. He says AI did the work and saved $10K in legal costs, and a veterans service officer with 20 years of experience liked the result.
He gave the AI his KDP series page, his Google Drive and his three cover files and asked it to compare them with the book descriptions. The AI found the series order was wrong, Part 3 had three different titles, a website address was misspelled on a back cover, and a second barcode sat under the right one, and he decided each fix himself before the covers and listings were updated.