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.
VC Ian Park posted a Korean-language the AI chat confirming two Prestige-class Korean Air flights (Seoul Incheon–Singapore, Sept 26–29) and a Ritz-Carlton Millenia Singapore twin-room booking with free cancellation to Sept 24. After linking the Google Calendar connector, the AI added 11 Singapore itinerary items (flights, courses, jogging, checkout).
A team of Opus 5.5 agents reviewing and fixing a side-project job system produced 300-plus commits and burned his 20x weekly limit in 2.5 days.
Travel creator Jorden Tually, who says trip planning is exhausting after 4,000+ days of continuous travel, demonstrated the AI on Instagram on Oct 16, 2026. He asked for a spontaneous weekend away under $500; the AI built a Washington, D.C.
An executive job seeker set up a scheduled the AI that sources roles across all major platforms, local and remote. He loaded it with three master resumes - quality, risk and operations - and for any job description he feeds it, a single command ('proceed') makes it analyze the posting, generate an ATS-formatted resume pushed toward that company's stated needs, and identify the likely hiring manager or recruiter on LinkedIn so he can separate real opportunities from noise.
He upgraded Proxmox on 3 nodes, with about 30 containers moving from Debian 12 to Debian 13, and put Opus at the wheel. The upgrade finished with zero drama.
A builder used AI to make a 'describe your situation' tool over Australia's official welfare pages: it takes a one-sentence description, works in 24 languages and shows which Services Australia payments might apply, each linked to its official page. Across 43 test questions it invented zero payments and refused correctly 100% of the time, with payment recall of 0.76.
A man gave the AI strict tag research tasks and had it work through the whole ticker list again and again, searching and comparing XBRL tags in SEC filings. The pipeline now pulls 10-K and 10-Q filings for more than 600 companies, maps tags onto about 35 financial concepts, and produces cleaned data. Doing 3 tickers by hand had taken him about 3 weeks and still gave wrong data.
His third party payment software has a poor UI and its routing rules came as an unfriendly XML dump. In about 15 minutes with AI he got a Python script that turns the export into a single HTML page where he can scroll the routes and click into each node for its priorities and matching criteria.
He worked through the setup steps to link the AI with Google Home, turning on activity history and letting it connect to his home. After that, he could ask the AI to turn on his lights and it worked.
The AI opened a browser, created an account on the ticket site, picked his concert ticket, and paused for his approval in the app before paying. The confirmation email arrived and the AI added the concert to his calendar.
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.