An agent sets the prices on his Airbnbs and sends him a weekly report
Agent manages pricing on his Airbnbs with a large revenue boost and gives him a weekly performance report.
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Agent manages pricing on his Airbnbs with a large revenue boost and gives him a weekly performance report.
He had no family doctor and dreaded the admin of finding one. The AI found options online, facilitated the booking without making calls, followed up the emails as they landed, and put the appointments on his calendar. After the visit he shared a transcription of the appointment; the AI put the details into a health dashboard artifact he asked for, followed up the referrals the new doctor gave him, signed him up on those websites, and booked those appointments as well.
The AI figured out his TLS negotiation truncation bug from code and trialling TLS handshakes, including a post-quantum algo ID collision.
His agent system makes podcasts for him. He told it to treat alternative sources with the same skepticism it applies to official ones. The shows now push back on everything, and he says he loves the result.
Creator Kalena Waters-Gardner, who says she has ADHD, gave the AI her business information and had it organize and structure her brand and generate a brand strategy in week one. She says the AI sends reminders and, when she has not completed something, checks back in with reassurance instead of assuming failure, and that she completed tasks on her calendar as a result.
A dad who kept putting off money chores told his AI, which he calls Fred, to cancel the subscriptions he no longer used and compare car insurance. The AI did both, and he says the changes save him over $2,500 a year.
Someone had the AI buy a domain on Namecheap through the secure vault. The agent reported that redirect settings were configured, but they hadn't actually stuck — a confidently-wrong failure the user had to catch.
His talk archive site had been a work in progress for years. He asked the AI to help track down records of talks he has given, and the site now contains 115 presentations covering 26 years.
Daren runs his film company alone. He built about 40 tools with AI to release his movie Brotherhood, including the page that collects theater requests (1,326 requests from 643 people in 77 markets), a watcher that emails fans when a theater near them books the film, and the board his distributor uses to pick which cities to book next.
Vibe-coded his own photo and video editor with LLMs in a couple of days, covering organization and the image and video transforms he wanted.
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.