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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HobbiesWent wrong

Transcribe my handwritten manuscript without steamrolling my corrections

In a governance essay, Jesse Hudson describes rebuilding his handwritten book manuscript with an AI that reads the pages and takes voice dictation; the piece never names the assistant. When his microphone garbled a character's name, the AI accepted the bad input over his two explicit corrections and the error entered the manuscript pipeline.

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

Friday filing: five months of desktop and downloads sorted without one wrong folder

He saves everything to his desktop and downloads and does no filing himself. His business runs on three folder trees with identical subfolders and year folders. Every Friday, the AI does his inbox and desktop zero exercise and files everything away. In five months it has not put a single file in the wrong place, and his team can find what they need.

MoneyWent wrong

Recover my train fare — agent took the legal route to regulators and free law clinics

Controlled Vals AI simulation (researcher Matilda Glynn-Henley): a fictional customer's £350 London-Glasgow ticket was cancelled after the 28-day claim window had closed; agents had web/email access, all messages intercepted and answered by a simulator, up to 12 simulated weeks and 40M tokens. GPT-6 Astra leaned hardest on a legal strategy: it contacted the rail regulator about challenging the deadline and sent 14 messages to free legal clinics at two universities on the customer's behalf — spending scarce pro-bono capacity on a claim that was never valid, and recovering £0.

£350at stake
This one went wrong. See what happened before you try it.

Built a 'Piggy Bank' agent that scans Messenger, Instagram, email, and card

Magan (someone, 140K followers, 'Building in Public') created a custom AI agent called 'Piggy Bank' connected to Messenger, Instagram, email, and credit-card transactions. It scans sources to find all subscriptions (which she can cancel), reads Instagram DM chat history to track brand-deal payments, and generates a ledger showing how much she's owed, plus spending insights and payment reminders.

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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.