Proactively reminded about street cleaning the night before from an email notice
Kev.odriscoll's the AI read a street-cleaning notice in email and proactively sent a reminder the night before, helping the author avoid a ticket or tow.
A random mix from the whole library. Shuffle for a new set.
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Your place, your car and your pets · 265 ideasMy agent called tire shops for swap quotes and brought back transcripts
He needed quotes for a seasonal tire swap, with the winter set already on rims, and did not want a day of phone tag. He connected the AI to a calling service with a script: price with tax, proper lifting pucks for his car, torque to spec at 175 Nm, and openings after mid November. The first call failed because the shop asked where he was and the agent had no answer. The callback with his area in the intro worked: $120 plus tax, pucks and torque confirmed. Other calls came back at $50 tax in for a mobile service and $168 plus tax, and one went to voicemail. Every call produced a full transcript. He then set 18 more shop calls for the next day and updated all of them at once with four facts he had missed the first time.
He rebuilt his parents’ blind controls so the house opens and closes itself with the sun
His parents’ ten blinds ran off one dumb radio remote. With a Flipper Zero he recorded the signals, the AI spec’d an ESP32 board to send them, wrote and flashed the software, and designed a printed case; the blinds now open and close at sunrise and sunset with a small web page for overrides. Later the AI built a phone app so his parents can just ask Siri to open or close them.
An agent set up his 100 home sensors and his pepper harvest was his biggest yet
A man let an agent live on his home network and finally get his hundred or so sensors and smart devices configured and talking to each other. This year he set up garden sensors with its help, tied soil, rain and sunlight readings into automated watering, and had by far the largest hot pepper harvest he has ever had.
Their freezer died, and photos of the spoiled food became an insurance claim the insurer accepted on the spot
Their freezer died and they lost all the food in it, and needed to make an insurance claim. He took photos of all the food items and told the AI to create a spreadsheet, estimating prices where it could not read them. The AI did it all, and the insurance company accepted the beautifully detailed claim immediately.
I used AI to build a chronology of my life and ancestry. 9,200 entries.
She used AI to create a chronology of her life and her ancestry with about 9,200 entries. She says she can base a memoir, a biography, or a family tree on it, and that the AI is good at coordinating the data even if it cannot write the book.
Sort my whole move into keep, donate and discard from room photos
Neo Tsang recounts uploading room photos and an inventory to the AI a month before moving; the AI categorised everything by usage frequency into keep, donate and discard, with a room-by-room packing sequence. He also had the AI break down three movers' quotes line by line and picked the middle option at nearly half the most expensive quote (the post closes with a referral code).
The AI got him back into his own EV charger and saved about $800
The company that made his home EV charger had gone out of business and none of the default admin passwords worked. After one model refused to help, a long session with another got him into the charger admin console without a password. Replacing the hard wired charger and paying an electrician would have cost him hundreds of dollars, about $800 by his count.
$800
An LLM looks at his robot vacuum's camera and decides whether the floor is clear
His LLM agent reviews his robot vacuum's images and either sends the vacuum out or suggests moving things that would foul it up; works great.
An hour with AI moved his home system onto a private network, documented in git
Spent an hour with AI migrating a Home Assistant setup to Tailscale, updating sensors and Pi-hole, and putting it all in one documented git compose file.
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.