429 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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Analyse my credit card statements and cut $675 a year

Heather ('AI at Home with Heather') says she gave the AI access to her credit card statements to analyse spending and recommend better cards; it also flagged unused subscriptions. She cancelled a discount flight-alert service she no longer uses and downgraded Spotify Premium, for claimed savings of $675 a year found in about an hour — a figure she admits may be slightly exaggerated.

$675a year
MoneyWent wrong

File my LinkedIn refund complaint through the browser

Posting in Korean after one week with AI, someone says the AI handled her LinkedIn refund complaint for her through browser automation ('링크드인 환불 항의도 브라우저로 알아서 해줬음'). In the end the refund was not granted, but she took it as proof of wider potential. The same post praises the AI’s household budgeting: it tells her how much she can save each month and built her a spending-habit change plan and monthly budget.

This one went wrong. See what happened before you try it.

Catch my duplicate Southwest tickets and save me about $1,200

Creator Jen Lehner says in an Oct 19 Facebook reel that Instinct proactively texted her that she had accidentally booked duplicate Southwest Airlines tickets for herself and her daughter out of St. Louis on both Friday and Saturday. She confirmed the booking, it was canceled in time, and she received a full refund saving approximately $1,200.

$1,200

Build my own grading LMS on top of Google Classroom

A teacher built his own LMS layer on top of Google Classroom using AI and Apps Script (he names the AI and the AI as both able to drive it): far deeper grading features than Classroom offers, a quick-select comment bank where any feedback he writes can be saved for reuse with one click, and on return each student automatically gets a formatted read-only feedback document both emailed to them and attached to the Classroom assignment. Student data never leaves the district's Google ecosystem.

GPT built a searchable catalogue of more than 700 mathematics preprints

When OpenAI released more than 700 mathematical preprints, a researcher wanted to search inside them, including proofs and bibliographies. With GPT-6 Astra he built a searchable catalogue that organises the papers by research area with clickable keywords, full text search, links to the originals, and each paper's Lean formalization status, and he put it on his website for public use.

MoneyWent wrong

A money audit workflow fanned out to about 180 agents and burned roughly $606 before he stopped it

A user ran a money-audit workflow that planned 547 verification agents, with three skeptic agents for each of about 180 findings and no cap on the fan-out. About 180 agents ran, using roughly 36.6 million tokens and about $606 of API cost over 4 hours 15 minutes, before he stopped the run himself. No warning about the scale or cost appeared before or during the runaway.

$606at stake
This one went wrong. See what happened before you try it.
WorkNew

My news site now uses Jev to pick stories and the bill stayed flat

He runs Qood News. When the AI 2.5 was retired, moving to the AI 3.1 would have tripled his AI bill, so a decision model called Jev now decides what counts as good news and costs stay about the same. In testing Jev approved 39 of 110 stories while the AI approved 53, mostly dropping filler.

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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.