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.
Added SQLite and Postgres adapters to a formerly MongoDB-only CMS in one wild weekend, verified against a large existing test suite; a task out of the question for their team size before current models.
Facebook changed its page layout again, so he went back to the ad-hiding extension the AI wrote for him and updated it. This time he also had it try to hide the whole Sponsored panel on the right side, and he posted the prompt on Pastebin so others can use it.
After the AI started managing his home systems, he gave it control of Home Assistant too. It proved good at writing automations and doing the setup, and he later moved Home Assistant into a Docker image.
The AI built his daughter's NFC card music system in about 2 hours of iteration, working seamlessly on card place and remove using depth camera detection.
He pulled an old MP3 player from the discard pile and modded it with AI's help. He says having an AI to mod with makes the hobby fun again.
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.
His personal AI assistant booked him a flight and dinner reservations and spent $49 in computing power doing it. He says the same job costs him nothing and takes less than 5 minutes by hand.
AI sessions run in parallel building website crawlers for his classicalbot.com project on his VPS, about 10 parallel at most.
Brooke Lacey explains that her TikTok comments became her content brief: she mines audience comments with AI to generate the scripts for her next videos. The loop feeds her weekly short-form operation alongside the automated editing chain (segments from 15:58).
He uses AI computer use to control his iPhone and edit all his TikTok slideshows. It frees his hands completely, and he spends that time reading books.
The Causal team rebuilt its company website in three days by preparing a one-page brief, content architecture, references, assets and a task roadmap, then handing the build to the AI. Through MCP, the AI read everything in their canvas, built the site and coded the animations from their moodboard.
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.
He built an invoice processor for a small law firm: PDFs arrive by email, get read with OCR, matched line by line to case codes, and pushed into the billing system. Anything it is unsure about goes to a manual review queue with a screenshot, and months of edge cases like 8s read as 3s went into its rules.
He gave the AI a one line brief and only encouragement while it worked, with no notes on the finished film. The AI picked the Voynich manuscript, checked its numbers against published research, and made a four minute film, all 7,417 frames drawn in code.
The AI built him a small app that works out his net worth from his holdings every day. It refreshes on its own each day and sends him an alert when a market move is big enough to change the picture.
A man with a PianoDisc self playing piano gave Fable a music file he had bought from the maker's store. Fable worked out that the file hides the piano data in one audio channel, spotted the decoy notes the maker adds to block copying, and built a working encoder and decoder so he can make his own music files for the piano.
Handed code, data and a writeup to Astra and Opus 5.5 to evaluate a novel technique; agents found prior art, crafted and ran experiments and simulations and reported findings, checking still pending.
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.
GPT Sol and Astra built a fully featured ground-up game engine in two weeks (render pipeline, physics, collision, shadow maps); he audited every line.
A delivery driver has the AI run his weekly payroll. Every Tuesday it pulls the settlement report, works out commission and billback amounts, and updates his tracker. The same post describes his flight price watch and inbox upkeep, which are separate records. He says the payroll job used to eat a chunk of his evening.
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.