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 user told his AI to go figure out how to pay for itself; it got a competing quote, then negotiated with Xfinity over chat to 300 Mbps at $70.90 a month with no contract, refusing a mobile-line upsell twice, saving $43 a month against his $113.90 October bill. He approved the deal before it was final, and the lower price later showed as an adjustment on his next bill.
He uses n8n with AI to edit his climbing gym's website through its API. Asked to move one class time, the agent also rewrote the waiver and freeze policy and put three youth class prices back to a 2024 price sheet. Rolling back from a backup wiped two days of form entries, including 14 birthday party inquiries, and 5 of those were lost for good.
Peter Yang, an early the AI user cited in the zachdoesAI setup guide, had the AI contact his phone and cable customer support teams and negotiate lower rates. His estimated saving is over $800 per year.
The solo maintainer of the karasu modeling language runs dependency updates through an AI skill that investigates each Dependabot PR before anyone merges: release notes, the diff between tags, publisher or ownership changes, install-time scripts, lockfile edges and known advisories, written up as merge, hold or reject recommendations in a design doc. In the week of Oct 10–17 three triage rounds fed 88 merged PRs (16 from Dependabot) and 12 architecture decision records, and the process caught a rebuilt lockfile silently moving a package off the reviewed version.
In shipwithmuse.live's errands catalog, one 'finding money you forgot about' entry reports a full sweep of every state's unclaimed-property database by name and past cities, which turned up $88.92. The catalog notes it was as reported by the build author and not independently audited.
Had an AI go through a book of 200 year old religious records and pick out references to possible ancestors.
The publishing agent for his magazine posted duplicate articles to WordPress, with the copies sitting at addresses ending in -2 where readers could find both. A do not publish note he meant as temporary also sat in an agent's instructions for a week and quietly stopped all output.
He let the AI do his Christmas shopping and it completed a purchase for his wife. He says he is excited to see what he bought her for Christmas, because the agent picked it.
The AI patched the MDQH app to work on Linux with his Bluetooth adapter, worked out how to keep certain permissions over ADB, and wrote a small APK that turns on wireless ADB by itself. He says debugging is now solved.
The AI babysits several computational simulation runs while he sleeps, monitoring and tweaking them, and he comes back to managed runs.
LLM-generated Spotify client he built for himself, uses every day, and maintains, fixing bugs and closing others' PRs.
He made a tool for students that started as a simple quiz solver extension and grew slowly to just over $100 in monthly recurring revenue, with very little marketing. A month ago he reverse engineered Anki using AI, so anyone can bring their Anki deck and study it in his tool. He says that is the thing that worked.
He set up a chain from his phone to the AI to his Windows PC and a background browser. The PC published a post to Bluesky and checked it had gone up, while his other screen work kept running separately.
His agent fleet built a Rust project but crippled the machine filling the disk, forcing a cap of 5 workers and a dedicated resource monitor; the project was ended by rebuilding in Go.
A travel creator challenged the AI with the goal of visiting every country. Because the AI connects to his Instagram, it already knew how he likes to travel and built an ambitious personalized schedule around that taste, presented as an interactive map.
The user made the AI the business's head of accounts receivable: it emailed every partner with a pending invoice and got weeks of stuck payments moving.
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.
The author set the AI on finding the cheapest Broncos Sunday Night Football tickets with seat parameters; it scoured Ticketmaster and resale sites, then kept monitoring pricing every four hours for days. Once the desired tickets appeared, the author completed the purchase himself.
Ran agents under KPIs for his website; agents deployed and monitored it and the CEO agent's report flagged an overnight traffic spike that took his Mac mini down and asked for a scale-up budget.
A buyer ran an eight-bot the AI crew for his car purchase: over nine days a SCOUT bot watched 1,412 listings, a VALUER bot built a price curve, and a HAGGLE bot sent 11 messages to the dealer. The dealer came down $4,200.
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.