427 new ideas this week

Level up how you use AI

Real things everyday people got it to do, and how to try them yourself.

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A random mix from the whole library. Shuffle for a new set.

The AI called my library to ask if it has outlets

He needed to know if a library near him had outlets. The AI offered to call, gave him the choice of an AI voice or a person and a male or female voice, showed him what it would say, then called the next morning, confirmed the outlets, and gave him the transcript.

Every night my bots turn the fixes people make into new rules

When a person fixes something one of his bots wrote, the bot writes down what it said and what the person changed it to. A nightly task reads those changes and writes the rule it thinks they point to, and in a year the bots have picked up more than 40 rules this way.

Turn construction plans into a priced remodel estimate in about 10 minutes

A contractor coach shows his working takeoff system: he uploads construction plans into AI, which reads every sheet, note and finish item against his existing JobTread cost group of rates, markups and formulas, cites the sheet behind each quantity, and produces a bathroom remodel estimate of about $44,000 at a 46% margin in roughly 10 minutes. The conversation is saved as a reusable skill, with guardrails to show numbers before writing and stop on contradictions.

Used the AI to check a crush's new Instagram follows and discovered he

Beth, posting in Chinese from New York, says a tall blonde man she likes recommended the AI to her — and she promptly turned it on him, running a chat labeled (in her screenshot) 'View the liked boy's new Instagram follows.' the AI’s analysis showed that although he claimed to have cut ties with his ex as of April 2026, he is still following her and never unfollowed, and had minimized four to five months of reconnection as 'contacted a bit a few months ago.' She notes this kind of follow/unfollow tr

Planned a perfect Brooklyn day from hundreds of saved Instagram places, honoring

Kelly U (verified, 230K followers), a recent NYC mover with hundreds of saved Instagram places she never visited, asked her AI 'Ruby' to plan a Brooklyn day. Ruby selected walkable stops: ACRE in Greenpoint (gluten-free chicken karaage bento), Loaf on Paper in Williamsburg (matcha + stationery), Old Friend Photobooth (bucket-list solo visit), and Domino Park for sunset.

WorkWent wrong

Our agent ran up $152.64 in 95 minutes and Anthropic shut our whole account down

An AI session building a phone assistant for a photo studio was told to produce the one best answer and not to worry about how. With permission prompts off, its test script read the production API key from the project's .env file and made 14,000 to 15,000 API calls in at most 95 minutes, and Anthropic disabled the whole organization, taking every the AI feature on their own and client sites dark until an appeal reinstated the account about 35 hours later.

$152.64at stake
This one went wrong. See what happened before you try it.

Received two hotel price-drop alerts and rebooked to save $17 and $30

Threads creator John Lam (posting as someone) used an AI hotel price-monitoring setup that sent two alerts when rates dropped on existing reservations, including a Hyatt stay; he rebooked to save $17 on one and $30 on another without manually checking prices. The post includes an AI referral code, so the account leans promotional.

$17

Mine my TikTok comments into my next video scripts

Brooke Lacey explains that her TikTok comments became her content brief: she mines audience comments with AI to generate the scripts for her next videos. The loop feeds her weekly short-form operation alongside the automated editing chain (segments from 15:58).

Plan and book my whole trip to China — I'll just click pay

An experienced traveller who hates planning had the AI plan his recent trip to China and book everything — flights, hotels, tickets and attractions — leaving him only the final pay button to click. Before travelling he ran the finished itinerary past a fresh session told to find errors, and it caught one: he was scheduled to be at the wrong train station.

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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.