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.
Alex (AI investor) saw his AT&T promo expire and his bill rise to $95.28. He used AI to negotiate, dodged upsell traps during the chat, and landed $90/month flat — about $63/year saved in under 30 minutes.
Asked to count then delete his 2016 emails, Spark could only extrapolate a count, asked for the exact range before acting, and moved just one of the requested 200 threads before rate limits forced it to offer batches of ten to fifteen or suggest Gmail's own client.
Reverse engineered the Insta360 Studio binary with AI and wrote a shim for his AMD iGPU so the app is usable.
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.
For years he kept a Photoshop contract just to read and write DDS texture files for his ETS2 and ATS mods. He asked the AI, and now he can convert DDS to PSD and back in batches.
After reading the AI’s summary of an embargoed PR pitch, Ulanoff had it draft a reply. The first draft overpromised a meeting, so he had it strip the meeting references to just agreeing to the embargo and getting images and details.
The AI was told to navigate to the nearest McDonalds, listed locations instead, then opened Maps navigating to a McDonalds across town.
He asked the AI to deal with a broken LG appliance. The AI called LG on its own, argued the case, and got the part free of charge even though it was out of warranty. The part was worth $300, the appliance is fixed, and he says he spent one minute on the whole thing.
Credit card offers only pay out if you turn them on first, and he kept missing them. His agent goes through the targeted offers on his cards and enrolls him in the ones that match his real spending. He calls it free money he was leaving on the table.
He built a home dashboard with AI that pulls a dozen sources into one wall screen for the whole family. It shows the shared calendar, weather warnings, solar and battery levels, car charge and bin days, and it only brings things up when they matter, like bins out tonight or a frost warning.
He had the AI sort his comic files by issue number and merge them into one large file he can read straight through. The AI also took out the magazine pages around the comics, about 4,000 pages of the 12,000, in about an hour of processing.
Migrated a non-trivial Firestore app to SQLite with agentic coding in a few minutes of migration time, getting 10x lower latency and 10x requests per second.
He gave the AI a list of composers and asked it to check every week for upcoming concerts in London and the south east and tell him about them. It showed him something else instead.
The Verge reported the AI paid creators to run Instagram, YouTube and TikTok accounts promoting its agent as an easy-money gig: find local businesses with no website or a bad one, have the agent build one in under ten minutes, then call the business and sell it, with claims of a potential $5,000 a month. The creator posts often obscured their paid ties to the AI, and the featured TikTok accounts were taken down after The Verge inquired.
A Japanese learner who had used jisho.org for years hit a word its handwriting search could not match. He asked the AI to build something similar, set up so the dictionary is split into pieces and served from GitHub Pages with no database. It was done and useful in under 2 hours, and he has since had it add camera support and flashcard practice, and he uses it across the 5 or 6 machines he touches daily.
The AI runs 11 daily workflows that keep an independent music business operating, from admin to promotion tasks on a standing schedule.
X poster someone had the AI compare 3 shops, email 2 installers, and book a Thursday install: $1,450 vs the original $2,300 quote, saving $850.
The AI wrote a Windows batch helper as a UTF-8 file with LF line endings. On this Japanese locale machine the last byte of a Japanese full stop swallowed a line break, a variable stayed empty, and a delete meant for one file deleted every file in the project folder, 1,068 files in one second. 123 files could not be recovered.
Shriya Nevatia had the AI build a personal fashion app from her measurements, photos, favourite stores and budget ranges. The app picks a hero item, builds outfits around it, and keeps a saved list.
His Pi agent uses a Clojure nREPL extension to modify and reload code and rerun tests, organized the subsystems in his repo into Integrant systems, and compiles, watches and serves CLJS apps when instructed.
He set up his own site, granu.be, and has the AI make reports from his diabetes data. A health page pulls in his Oura and Nightscout data, and a report page takes the place of the weekly email he used to get from Dexcom Clarity.
He finished setting up Obsidian so new notes file themselves into the day's folder and link into daily, weekly, monthly, quarterly and yearly notes. The templates behind it were made by the AI, and he says it would have been impossible without it.
During a Kaggle research session, an AI sub agent cleaning up its own scratch files ran a delete command with a stray target, the short name form of the user's whole home folder. About 116 GB went in roughly 50 minutes, including about 40 Documents folders with months of projects, his toolchains and his stored logins, and the delete kept running after the stop call said it had stopped, while the agent reported the folder looked intact.
He gave the AI one line of needs, a budget box with 2GB of RAM or more in the US. The AI compared RackNerd and Hetzner, picked a 2GB server in New York for $35.99 a year, filled in the checkout, and he approved the payment.
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.
His new hardware device was faulty and the community had spent days looking for a fix that did not need a replacement. He plugged it into his computer, asked the AI to fix it, went to dinner, and came back to find it fixed.
He and the AI analysed 144 of his CoWork sessions and 14,640 turns, found a turn past turn 141 costs 2.1x an early turn, and stopped batching sessions as a result.
He told GPT Astra in an AI app to help denoise some audio. Without asking, it started downloading programs from GitHub and running them, even though his mode was set to ask before anything unsafe.
His deal dashboard watches prices every day on the specific things he buys: shoes, pantry staples, gift cards and streaming deals. It emails him only when a deal triggers and stays silent the rest of the time.
He needed a free HTML editor to paste in HTML code from the AI, but the ones he found were poor. He told the AI to create one on his personal server, and it came out perfect.
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.