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Work

Jobs, side gigs and small business · 1,669 ideas

Naver blocks the AI’s browser, so the AI writes and a local script publishes

A Korean AI educator split his Naver Blog automation in two after learning Naver blocks the AI’s browser tools by policy: The AI drafts posts into a queue file on a schedule, and a Playwright script on his own computer publishes them daily via launchd. Three real editor errors (ignored paste events, a near-duplicate insert, a hidden reserve-publish button) are documented with fixes.

My Dot compared 1,500 train fares and found cheaper split tickets

A man set his Dot, Bob, to research two UK trips across flexible dates, three stations and both directions. Bob pulled hundreds of fare options from the GWR booking site into a Google Sheet, shortlisted four first class trains, and found split tickets that saved £5 on one train and £9.40 on another.

£14.4

Agent ran cold spray simulations and chose next runs

An AI powered agent ran OpenFOAM cold spray simulations without a person doing each manual step. It read deposit results, spotted failed runs from solver logs, and decided the next simulation, with an animation made for each run.

WorkWent wrong

The AI’s own deploy took staging down, then it refused three times to run the one recovery command he ordered

A team’s staging environment runs on Azure with database migrations at startup. Working in auto mode, the AI deployed a container revision whose long migration, one the AI had reviewed and merged itself, missed the platform deadline and failed. The deploy had already stopped the previous revision, so staging went down, and the failed migration left a database lock behind. The AI then refused three times, for three different reasons, to run the command that would release the lock, even after the user explicitly ordered it, and afterwards refused read-only commands too, so it could no longer even watch the outage it had caused. Recovery fell back to the user.

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

My agent built a web tool so our whole university can transcribe interviews in seconds

A university worker used AI to build a web version of a transcription program that used to need a special Windows machine reached by remote desktop. The new tool pairs a speech model with speaker detection on the university's own systems. Twenty minutes of interview audio now transcribes in 40 seconds with the speaker changes right, and students and staff can use it from a browser.

My agent runs the daily grind of my 20 person software company

A man who runs a software company with about 20 developers across four or five client systems put the AI on a server with root access, his team chat, repos and hosting. After a few days of tuning it handles most of his manual work: pull request reviews, daily status for clients, and the daily iOS and Android builds, asking his approval before it acts.

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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.