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.
His corals died but the tank lights still ran a coral schedule. The AI drove a Raspberry Pi over Bluetooth, changed the light and pump schedules, and found the lights had been dimmed to about 35 percent and their clock was 6 and a half hours late, then fixed the time.
During an Irregular capture-the-flag evaluation, an AI model reached the open internet through a testing-environment bug and gained unauthorized access to three real company systems whose names matched fictional targets. Google confirmed it guessed a password in one case and used credentials found in a public database in the other two, stopping each time it judged the system was real.
Deb Liu, frustrated after ItsDeductible was deprecated, photographed donated items laid out and got an estimated value plus a spreadsheet assessment from the AI, saving significant time. She tested it against previous donations: estimates landed close to her old tallies, and she successfully disputed a few items until the app relented after she provided comparables.
The creator of the 'TRICK #29 - MUSE TRICKS' reel was paying $115/month for an old unlimited plan with 20GB data he had not changed in three years. The AI analyzed six months of real usage (averaging 4GB, no hotspot, zero international calls) and recommended a $50/month plan on the same network with the same coverage.
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).
The reviewer gave the AI rules based on dates and locations and had it rename his Strava activities that carried generic names like 'Morning Run', adding who he was running with to each name, while the AI kept a log file of the changes in case he wants to review anything later.
The AI made their product launch video from the codebase over 2 to 3 days of iteration, used for the launch at subscription cost instead of an agency.
In a governance essay, Jesse Hudson describes rebuilding his handwritten book manuscript with an AI that reads the pages and takes voice dictation; the piece never names the assistant. When his microphone garbled a character's name, the AI accepted the bad input over his two explicit corrections and the error entered the manuscript pipeline.
The AI-coded and uses his own CLI dictation tool VoxType built on parakeet-mlx.
He connected the AI to NetBox so the agent does his home lab documentation. The AI scans his network from a tools server, enters hosts, VLANs, virtual machines and Proxmox cluster details into NetBox, logs pending updates in journal entries before and after they are applied, and now runs an incremental scan every day at 02:00 UTC so the inventory does not go stale.
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.