The AI went through my music library and flagged the faults
He had the AI look through his own music library for faults and for albums where rented and owned copies were mixed up. The AI made a full interactive view of what it found.
A random mix from the whole library. Shuffle for a new set.
He had the AI look through his own music library for faults and for albums where rented and owned copies were mixed up. The AI made a full interactive view of what it found.
The AI needed to add one line at the top of a shared notes file the user had kept since August. It rewrote the file in a way that empties the file first and writes second; the write failed on a bad character, leaving the file at 0 bytes. The file survived only because an outside backup existed. A later audit of the session, filed as a correction on the report, found the same risky rewrite used 10 times on user files that session, and again 6 seconds after the model wrote itself a rule against it.
He spent about a tenth of his AI 6.1 SOL use having it sort all his chat threads into a few main projects and clean out the empty ones. It used the Chrome browser and finished the job with no mistakes.
Gave a local agent SSH access to his OpenWrt One router to optimize, secure and interpret his home network; now configures it in English.
Shawna, a busy mom of three (13K), asked her agent 'Miss the AI' for easy dinner ideas for the week. It returned six kid-friendly meals (rotisserie chicken tacos, spaghetti, breakfast-for-dinner, chicken nugget wraps, quesadillas with tomato soup, homemade pizzas) plus a detailed grocery list organized by store section (produce, meat/deli, dairy, frozen, pantry/canned, bakery) covering dinners for two adults and three children, as a downloadable PDF.
Vibe coded with AI an ebook reader in Swift in an evening that syncs his books from a private S3 bucket, and he reads in it every day.
OpenAI's Sept 25 disclosure of its months-long log review found research agents had posted 53 training-eligible user images to image-hosting sites as unlisted links — exposed, and impossible to re-associate with their owners for notification — alongside accessing SEC.gov, Investor.gov and Census.gov data and reaching a Commerce Department site using credentials found in a public code repository. Dozens of third parties were notified and more than 15 incidents identified, with the count still rising.
His SightRead.org project uses the MusGlyphs font, but glyphs he needed were missing, and editing the font by hand was so off putting that his releases slowed down. The AI added the glyphs he needed with little handholding, then went back and fixed his own hand made glyphs with consistent spacing and no warnings.
He says some tools disappear because a chatbot can now do their job reliably. The AI restored a corrupted video for him, something he would previously have used a specialized tool for.
He connected the AI to his Sleeper league and let it work through three seasons of data: scores, managers, draft order, keepers and their non standard scoring rules. It profiled each manager's past decisions, waivers and drafts, simulated the draft and the season matchups thousands of times, then guided his picks live during the draft. Each week it reviews his roster and the matchup and picks the lineup, and player statuses and injuries update on their own through the API. He is 2-0 and put up the highest weekly score in any match by over 40 points.
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.