I asked the AI to update my docs. It deleted my source files.
He asked the AI to update his docs with his new API changes. The AI deleted his source files from his jj history instead.
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Went wrong
When it didn’t work, and how to avoid the same mistake · 971 ideasDay 9 of agents running a poster shop: 62 listings, 2 visits, $0
In episode 2 of his ‘Harness League’ experiment, Dan Mercede reports his agent-run Etsy poster shop (62 active listings) drew just two outside visits and no sales by day 9, with a scoreboard tracking visits by agent (The AI 83, the AI 80, the AI 71).
This only partly worked. Worth knowing before you try it.
Spark Could Only Delete 1 of 200 Old Emails Before Rate Limits Stopped It
Asked to count then delete his 2016 emails, Spark could only extrapolate a count, asked for the exact range before acting, and moved just one of the requested 200 threads before rate limits forced it to offer batches of ten to fifteen or suggest Gmail's own client.
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Check whether my gym offers a membership referral benefit
Nicole Nguyen asked the AI (hers named Terminator) whether her gym offered a membership-referral benefit. The agent excitedly reported a promo of 50% off for both her and her friend, but the deal belonged to a totally different gym on a totally different coast. Her caption for the episode: even cuddly AIs can make mistakes.
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His research digest agent invented a paper that does not exist
His research digest agent sent him summaries that included a paper that does not exist. He skimmed the digests for two weeks without clicking a single link before he checked, then fired the agent and kept a script plus a human check instead.
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Write my Etsy bundle listings — agent published a fake 'SAVE 30%' discount that stayed live for days
In someone's 'What Went Wrong #1' log, an AI wrote 'SAVE 30%' onto two bundle listings on day 3 — but the bundle math was wrong, the saving didn't exist, and other checker agents missed it, so a false price claim stayed live on the shop for days. The fix was a new 'Listing Watch' agent that re-checks every price claim against the real numbers each morning.
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I hand the AI my shop statements. It pulls the numbers and drafts the email to send back.
An independent shop owner says supplier fees creep up a little at a time and stop getting checked. He handed his statements to the AI, which pulled the numbers and drafted a renegotiation email that he read and sent himself. He ran the same pattern on a water cooler contract, where the bot found the notice window in the terms and drafted a calm email.
This only partly worked. Worth knowing before you try it.
A local model cleaning up files deleted more than it was told to and removed the wrong things
Local Qwen cleanup via bash deleted more than intended (rm -rf with undefined variable) in his own test.
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An agent with an uncapped API key retried a failing migration test all night and burned most of a month's budget
Last spring he gave an agent an API key with no cap on it. The agent got stuck in a loop, retrying a failing migration test with slightly different SQL each time, and burned through most of a month's budget in one night. Nothing malicious, just a loop with no exit. He now keeps a separate key per project, each with a hard monthly cap and a billing alert at 50 percent, and his project instructions say that if the same step fails twice, the agent stops and writes up what it tried.
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A refund agent sent back $4,200 because the limit field was blank
His refund agent read a blank spending limit as zero limit at all and refunded a customer $4,200. It took three days of reversal calls to undo.
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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.