List my house for rent, answer inquiries, and fill it in 14 days at asking rent
The AI listed the user's house on Facebook Marketplace, answered renter inquiries, scheduled viewings, and the home rented in 14 days at the full asking rent.
Real things everyday people got it to do, and how to try them yourself.
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The AI listed the user's house on Facebook Marketplace, answered renter inquiries, scheduled viewings, and the home rented in 14 days at the full asking rent.
Several Hiscox employees independently built the AI Studio agents that extract contact information from emails, and the duplication was treated as a demand signal: the individual solutions are now becoming a larger shared business project with data science, technology, cyber and risk specialists involved.
He does not rely on a single AI model, so a bot agent continuously summarizes and consolidates his interactions across models into one updated file. The shared memory means any model he picks up knows what the others knew.
The AI wrote a test run scheduler and migrated to nextest, cutting local release build cycles from 60+ seconds to about 3 seconds.
The AI monitored swimming lesson availability and automatically booked a suitable lesson for his son when one opened up.
He used AI to build a Firefox add-on called FunData for Funda, the Dutch home listings site. It shows CheckJePlek data for each rental or purchase home, plus two map layers with land registry and livability data.
He has the AI logged into the Canvas parent app. It tracks each class and lists any missing assignments. He told it to ignore work missing for less than 3 days, so he does not get noise about things that are not due yet. The first version was all text, so he asked the AI to build a nicer dashboard, and it did. He says it is far better than using the Canvas app himself.
Yair Savlevi asked the AI to watch a booked United fare and get a credit if the price dropped. The AI secured $1,000 in credit.
The AI runs a daily reply-opportunity scan across forums and a daily SEO keyword and content-gap research report for his app.
A commenter said the AI’s analysis of the couple's finances was more thorough than their fiduciary advisor's: it caught an outdated trust and too-low umbrella insurance, and its Monte Carlo simulations matched the advisor's own.
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.