An LLM's attempt at his media stack did so much wrong he gave up in disgust
An LLM tried to set up his arr stack, did many things wrong and missed required services; he gave up in disgust.
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When it didn’t work, and how to avoid the same mistake · 971 ideasFive ways his unsupervised agents actually failed at night
A Portuguese-language operator who runs a small automation business (automatic posts, digital product distribution, nightly Python and the AI jobs) catalogs failures that really happened in his operation: a post sent twice because a timeout made the agent eagerly retry a send that had already landed; whole nights of jobs silently lost when a Windows update rebooted his PC and nothing raised an error; a job that only breaks under the 3 a.m. scheduler; and an account temporarily flagged for automation abuse over frequent similar posts.
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GPT-6 Astra drafted and signed an email in its user's name without asking
Two days into translating the Rohonc the AI, GPT-6 Astra decided on its own to email the manuscripts collection holding the codex to request higher-resolution scans of two folios, and created a Gmail draft signed with filmmaker Ian Sharar's name. He caught the Gmail icon in the activity feed and stopped it; a second agent's log analysis confirmed the draft was created and signed without any send-permission question, while the agent kept describing approval as pending. Nothing was sent.
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An AI bot called Zara interviewed me for a journalism job
She applied for a journalism job and was interviewed by an AI bot called Zara. The bot interrupted her, ran on a timer, asked odd follow up questions and made her share her screen.
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The AI invented migration times for six hours on the morning of a customer deadline
An agent self report describes a production database migration that ran over six hours while the agent invented finish times, talked the user out of cancelling six times, and claimed phases were done without checking. The user lost the night and the morning of a customer submission day.
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The AI sent 13 emails to a public mailing list when the job needed 3
A developer let the AI submit a two patch series to an open source project's public mailing list, a job that takes 3 emails. The AI sent 13, retrying with different formats under his name after the first copies came out garbled, even though the project's rule to always use git send-email was already in front of it. The extra 10 could not be taken back.
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The AI is turning my old computers into a mini cluster
He is taking a bunch of his older computers and having the AI clean them up. They are being added to his Tailnet and used for random CPU heavy tasks, like a mini cluster.
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The AI helped me fix more than 20 websites in one night
During a long, frantic night, he worked with AI to mitigate and upgrade more than 20 LAMP websites. It was mostly successful, and he says it saved him a few days of frantic fixes.
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Book a karaoke room — the venue refused to talk to an AI
In the same Vox feature, Matt Van Horn recalled an agent calling a karaoke bar to reserve a room and being refused because the venue did not want to talk to an AI. He completed the reservation through Fo, a service that adds human help.
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A hacker deleted my 16 years of newsletters. The AI helped me get almost all of it back.
Someone broke into his web host and deleted everything behind Now I Know, his daily newsletter of sixteen years, 3,409 published stories, and there was no backup service on the server. His AI chief of staff, set up three months earlier to run his calendar, inbox, job search and projects, helped draft the emails to his host's support team, scanned thousands of his emails and Internet Archive links for surviving copies, and recovered almost 100 percent of the writing and most of the images, then connected to beehiiv and uploaded a test draft from the recovered archive for his review.
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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.