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.
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.
Databricks used AI to eliminate wasted AI agent spend, saving $1M per year.
In Simmons's roundup of other Dots users, one person's Dot read a cancellation email, checked live tracking on an earlier train, found it running late and got its owner onto it. The account is secondhand and brief.
A man says the AI finished a hardware project he had started, working across three areas at once. The AI finished the firmware in Rust, changed some board parts and finalised the board design, sourced the parts that do not come with the board, and wrote all the documentation for the installer, and he judges the result good enough.
Rosey updates the kids chore chart on a Skylight frame every morning.
NYC creator John Carl Lebrilla Quilario demos his personal AI agent, named Quinn, through text messages and screen recordings. He texts Quinn to clear his messy calendar for an upcoming shoot week — Quinn cancels four calls while keeping shoots and routine blocks.
Her wedding site on Joy worked until the platform disabled SSO and she could no longer edit it - mid-planning. She rebuilt the whole thing herself with AI from her own requirements list: password-protected bridal-party and admin sections and direct RSVPs, replacing the platform entirely.
His coding agent pushed a commit deleting every file on main.
New York Times journalist Eli Tan (who nicknamed his AI 'Wren') asked the AI to sort his emails, assemble his fantasy football team, and 'fiercely negotiate for a ceramic piece with a local artisan.' He called it 'the most useful app [he's] ever used.'
Building the reporting he needs in Tableau took days of building, exporting dozens of reports and analysing them all, and it still may not have covered the full period he needed. With an AI connector, the same job was done in 10 minutes.
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.
Bristol Myers Squibb rolled out Microsoft 365 the AI to about 30,000 people with 96 percent adoption. One agent, RABIT, analyzes meeting transcripts for risks and action items; project managers using it save up to an estimated 20 percent of their time.
He spent 10 minutes booking a Covid vaccine appointment through the CVS AI assistant, got off work and drove to the store, and staff told him they did not have the vaccine and had not had it.
She scans new papers as a science journalist. Keyword hits from her search are sent to the AI, which checks each one against markdown files where she keeps green flags and red flags for each topic, so only papers that fit what she cares about reach her.
Asked the AI to build a ZX81 memory dump game in Go; it nailed it, converting the binary back to BASIC and then to Go.
A job seeker let the AI apply for jobs for him over 3 days, Sept 22 to 24. It sent 38 applications, all remote, mostly IT support roles, while he sent only 2 himself.
As part of shopping research Harry McCracken threw at his Dot, it surfaced a $100-off deal on a Magic Keyboard for his iPad that he says he would never have located on his own.
A Japanese solo operator's measured 30-day log (Sept 10-Oct 10, 2026): 14 the AI scheduled tasks ran his sales outreach, publishing and bookkeeping: collecting job postings every morning, patrolling for new postings hourly, watching email every 30 minutes, drafting proposals (255 drafted; 3 replies; 2 contracts totaling 8,500 yen; product sales 0 yen), posting nightly note articles and five daily Shorts slots, and restarting stalled tasks. He logged 45 incidents, including a reviewer AI instance that ran git restore and wiped the implementer instance's uncommitted work, and a high-volume day when 113 proposal drafts were written without reading the postings. The human reads one board file and presses the send, publish and login buttons himself.
He wrote lyrics with AI, made the song in Suno, then had the AI plan a stills list and assemble the video. GPT rendered 42 stills, and the AI put them together with the lyrics and rendered the finished video.
He had the AI find a way into his ISP device and change its settings. The AI turned it into a wireless access point with 802.11r, added an access point section to the control panel, and turned off the old ISP's updates and telemetry.
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.