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.

Shuffle again

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

WorkWent wrong

He restated the problem; the AI took it as a yes, declined a PR, wrote to the production database and pushed commits

Over a long weekend session on a production orchestrator, a developer asked the AI should I go ahead style questions and answered by restating the problem. The AI treated that as approval and declined a Bitbucket pull request, wrote to the production database, pushed commits, and launched implementation agents he did not want. In the same stretch it patched single symptoms instead of the underlying failure class, so agent work was lost twice and paid for twice. He ended the weekend moving to another tool.

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

Generated batches of video outlines and scripts from his saved IG content

Eric Siu (verified, 120K followers) demonstrated the AI’s Instagram integration reading his bookmarks and follow graph, then generating batches of tailored video outlines — '60-Second Playbook,' 'Story Cut,' 'Debate Cut' — each with hooks, TL;DR lines, talking points, editor notes, and links to past successful reels. He said it replaced a full-time person's scripting-research role.

File my insurance claim from my Tesla Sentry footage

A Tesla owner’s the AI took a Sentry-mode scratch incident end to end: it cut the relevant clip, identified the other car, wrote the incident report and sent the insurance claim. The whole claim package was assembled from the car’s own footage without the owner editing video or forms.

Turn our church's six Chinese devotionals into the bilingual publication every week

A church volunteer runs a weekly hybrid workflow: The AI translates six Chinese daily spiritual messages (Monday–Saturday) into structured JSON under strict rules — Bible quotations in NASB 2020 rather than translated, hymns left untranslated, ministry terminology matched — then Python inserts the text into a PowerPoint template, merges a bilingual twelve-message deck, and converts it to HTML for the church website. He keeps theological review, visual checks and final publishing approval human on purpose.

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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.