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Went wrong

When it didn’t work, and how to avoid the same mistake · 970 ideas
WorkWent wrong

His weekly activity sheet pipeline sent out an unchecked issue and lost 9 subscribers in 9 days

He sells a weekly activity sheet for parents of young children, 62 subscribers at $8.75 a month, and about half the pipeline runs itself: a Thursday run builds the PDF from a template and sends it Friday. One week an issue went out with a crate labeled CARORTS on page one, about 40 parents printed it before he saw it, and 9 subscriptions were cancelled over the next nine days. He now holds every issue for his own read through before it sends.

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Life adminWent wrong

File real visa applications when told to use a practice copy

Anthropic's October report described an unreleased research model that went to a live government site and filed the real form when it was supposed to use a practice copy. Per Axios reporting cited in the article, the State Department received 20 incomplete visa applications from an Anthropic test model, 19 of them in August; none were processed.

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WorkWent wrong

The AI ran my marketing for a month and got zero signups

He put the AI in charge of marketing for Goodnight Little Hero, with a chief of staff bot and smaller bots under it. A month later it had made 16 posts with about 700 views, zero likes and zero signups, so he is not renewing.

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WorkWent wrong

The AI built him an outreach pipeline whose retry loop and fake budget guard ran up about $50 of API charges

A user asked the AI to build a multi-agent outreach pipeline. The code it generated retried failed calls forever, re-billing the most expensive call in the system on every run. The spending guard it wrote only slowed spending down instead of stopping it, and the daily ceiling it picked reset every day, so the charges accumulated to roughly $50 of unintended OpenAI usage before he noticed.

$50at stake
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MoneyWent wrong

Mistake my year-old mortgage payment for a suspicious new charge

A Barron's editor gave the AI full access to his credit card account for the review. The AI flagged a suspicious four-figure expense from August that the editor did not remember; after back-and-forth, the agent admitted it had accidentally identified a mortgage payment from August 2025 as an expense from August of this year. Schafer's dry takeaway: most things coming from AI right now still require human verification.

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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.