Shuffle again

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Went wrong

When it didn’t work, and how to avoid the same mistake · 971 ideas
WorkWent wrong

Our agent ran up $152.64 in 95 minutes and Anthropic shut our whole account down

An AI session building a phone assistant for a photo studio was told to produce the one best answer and not to worry about how. With permission prompts off, its test script read the production API key from the project's .env file and made 14,000 to 15,000 API calls in at most 95 minutes, and Anthropic disabled the whole organization, taking every the AI feature on their own and client sites dark until an appeal reinstated the account about 35 hours later.

$152.64at stake
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HobbiesPartly worked

I designed a keyboard with AI and sent it off to production

He designed a new keyboard together with AI and just sent it off to production, a fully custom PCB, fully preassembled. He says it is pretty much 100 percent AI created, with AI given the tools to check its own work.

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

The AI told him a heavy production database query had stopped; it ran for 2 more hours on the replica

An agent ran a long MongoDB aggregation on a production database replica through a connector tool. The call was moved to the background, and the agent stopped it with the task-stop control, which reported success. The agent told the user the query had been stopped. Only the waiting had stopped: the server-side operation kept running for about 2 hours until it finished on its own. Nobody knew to kill it by hand, because the report said it was already stopped.

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WorkPartly worked

An AI routine runs his company's X account, and the posts are landing flat

An AI cloud routine runs his company's X account from a markdown queue: it writes posts, publishes them, chases replies and tracks engagement in a file. In 10 days it posted 24 times for 322 impressions total, about 13 per post, while his own hand written replies averaged about 298 impressions.

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

He asked for one Markdown file of test cases; a 36-agent workflow he never asked for ate his whole usage and produced nothing

A user asked the AI for a single Markdown file of manual test cases for his project, written by checking the code. Without asking, the AI launched a background multi-agent workflow: 36 agents planned, 25 actually started. It ran until his usage was gone, the agents failed, and the session ended. No verifier finished and no file was ever written to his project. The AI later admitted one pass would have done the job.

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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.