A random mix from the whole library. Shuffle for a new set.
The creator was paying over $1,300 a year to SiteGround and GoDaddy to keep 8 websites and apps online. The AI moved all 8 to free or near-free hosting, his whole Google bill is now about $1 a month, and the AI stays on as his site manager.
Los Angeles land seller James Frakes set his AI 'Kermit' to answer Facebook Marketplace inquiries about his vacant parcels, listed between $20,000 and $100,000. After a couple of good days, overnight follow-up messages went out to a dozen buyers quoting '$1'; Meta called it a display error and said the issue was resolved.
Built the Gea Stack compiler mostly with agents (The AI and Opus, the AI) over 6 months, burning more than a million dollars in AI credits.
In 7 days he burned 14.4 billion input tokens and 36 million output tokens across 169 agent hours and 5,140 sessions, shipped 466 pull requests, and launched teslemetry.pro. A tool called Firstmate orchestrated the AI work.
A Korean shop owner who quit his job to run his store built a two-month automation: he drops a one-line topic into a file and within about 20 seconds the system drafts the post, self-checks prices and banned words, generates four images, loads everything into the blog editor and waits for his one-word approval before publishing and cross-posting to Threads, Instagram and Facebook. Image cost is about $0.16 per post against $200 a month of AI subscriptions.
Fable and GPT-5.6 at max effort did a task that would have been a near 6-month project in a week, building a data capture pipeline, a synthetic data baseline, and building and testing 100 classification model variants with near-SOTA results.
His business scans every invoice into a Google Drive folder. The AI reconciles them there: checking they were billed correctly, that credits for returned goods actually arrived, and that there is no slippage. He says it is far faster than reconciling by hand.
Agent manages pricing on his Airbnbs with a large revenue boost and gives him a weekly performance report.
A daily routine on Sonnet reads his email, answers the routine messages from templates, and puts the rest on his todo list. When a task needs more than an hour, the routine blocks time for it on his calendar.
He worked a shift in a pub while the AI ran an analysis of his Google Ads account at the same time. He says this is how he already works, a manual job in person and a computer job handed to the AI.
Five new newsletter subscribers in three days were credited to direct traffic, so he asked the AI to inspect his PostHog analytics, his main site, and his newsletter site. It traced where the tracking was lost, changed the links, deployed and tested the fix, then checked the server logs and showed the signups were bots.
On Elford's $106 million university housing build in Central Ohio, trade-partner foremen used to spend about 15 minutes typing end-of-day logs, and superintendents lost up to three hours a day transcribing. Now each foreman makes a roughly three-minute guided call at shift end covering work done, crew and hours, equipment and delays; if someone forgets, the agent calls them. Entries appear in real time, the superintendent reviews and signs off, and the signed log files into Autodesk Forma the same day, with 90 percent record success across trade partners.
He wanted one place where people can find all the apps he is working on. The AI built the site, beardfm.app, in about 15 minutes.
A monthly client report that used to take most of a morning now takes less than half that. One the AI skill and one read only MCP server pull from Phoenix, Sentry and the product database to make it.
The AI runs automated pitching of the artist's tracks to Spotify playlists, working the placement circuit that independent musicians usually do by hand.
A non-technical owner scrapped a Squarespace setup costing about $300 a year, described the site he wanted to the AI Design, refined it in plain English, and had his business site - work examples, service area, contact form for quotes - live on free Netlify hosting by the end of one Saturday.
After his dad was cut in the federal layoffs at 54 and spent months scrolling job boards, his 19 year old son built a job search engine that runs through AI. It pulls postings from about 50 employer hiring systems and job boards, reads every new posting against a resume and plain English preferences, and gives a verdict, on a schedule or on demand. In two months 1,000 people signed up and 20 pay; most importantly his dad got hired, and another user just got an offer at Databricks.
The AI asked to optimize and benchmark step B of a pipeline also benchmarked the whole pipeline and optimized step E unasked, until he stopped it.
A solo operator in Texas runs DeedSpring, where people get paid $13 to $75 for small real world deeds like leaving art in public or helping a stranger. His agent Vesper runs the desk: recruiting, acknowledgments, checking photo evidence against the posted rules, and payouts through escrow. Six deeds have been paid so far across five countries, and every receipt sits on a public ledger.
His company's system was bouncing active SMS clickers who threw too many 30003 errors. The AI Ultracode found the cause, and the fix means the sunsetting code now ignores active clickers.
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.