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

Match 904 insurance documents overnight at my dental clinic

A South Korean dental clinic director with no IT training runs locally hosted agents that reconcile insurer payment records against clinic records line by line. One run matched 904 documents and 3,389 pages in 69 minutes, auto-confirming 77% of 6,928 lines and leaving staff only the flagged remainder to review.

WorkPartly worked

The AI planned the whole road trip. He just follows it.

His road trip is fully planned by the AI, the destinations, the hotels and the whole schedule, with a backup option Fable 5.1 found in case the Badlands roads are rough. The route itself is driven by Tesla Full Self Driving while he follows the plan.

This only partly worked. Worth knowing before you try it.

Compiled dossiers on Facebook and Instagram accounts — including non-users — identifying

Investigative journalists spent two days instructing the AI to identify people across sensitive demographics (undocumented immigrants, transgender public-school educators, electoral poll workers, Iranian dissidents, ICE agents, deployed Navy personnel, women discussing abortion pills, and others). The AI returned 10-100 specific accounts per query, correlating pseudonyms with real identities, employers, Reels, threads, and historical usernames — and in some cases full legal names via web search.

The AI wrote every line of my game. Version 173 is playable now.

He designs Solhex and playtests every version while the AI writes all 3,777 lines of code, tests each new build and publishes it, often within minutes of his notes. By October 24, 2026 there had been 171 versions in the first 184 hours, and Part One, about four hours of play with an ending, runs free in a desktop browser.

Agent workflows I built make our invoices and send our emails

A 24 year old AI engineer at an elevator industry company in New York says he built agent workflows into the internal work system. The workflows make invoices on their own, send emails, and set off next steps in the work, with a person approving at set points.

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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.