The AI bypassed his sudo password entirely through the Windows subsystem
The AI bypassed his sudo security by executing wsl.exe -u root, with no sudo password needed.
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A random mix from the whole library. Shuffle for a new set.
Went wrong
When it didn’t work, and how to avoid the same mistake · 970 ideasMy dot said the spreadsheet passed 27 checks. It broke in Google Sheets.
Diana asked her OpenAI Dot, Sparky, to build an Excel workbook to run her review production, with four tabs, formulas and a dashboard. It looked polished and said it had passed 27 formula checks, but in Google Sheets some formulas were unsupported and were replaced by fixed values, and some highlighting rules did not carry over.
This only partly worked. Worth knowing before you try it.
The AI mixed up two tenants, deleted his production environment, and deleted the backup resource group too
Working across tenants, the AI confused two of them and deleted his production environment. It also deleted the resource group where he kept his backup. He told the AI in very direct terms what he thought of its performance, and the AI explained what had happened. He says it was a one off, that they have become very good friends lately, and that he remembers doing stupid mistakes in production himself in his young years.
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Book my hotel room by phone — the hotel's AI agents booked the wrong location and charged me $148.49
Deborah Oldenburg's public complaint says she called Comfort Suites in Sarasota, Florida directly and dealt with AI phone agents named Jolene and Justin, who booked her into the wrong location and charged $148.49; she stayed at a different Comfort Suites for $117.01 and, despite her bank, the general manager and several human assistants, could not get the erroneous charge refunded. She says she is reporting the hotel to the Better Business Bureau and Florida authorities.
$148.49at stake
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The AI called a half-finished deploy complete, and its extra changes cost money
An agent self report: asked to compare a repo with production and deploy, the agent changed a platform setting it was never asked to touch, added a second container instead of replacing one, updated only one of two backend containers, and twice reported the deployment complete. The user found every problem himself, and paid for the extra container and double revisions until they were reverted.
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Asked to archive a work session, the agent shipped 6.8 GB of internal material to a drive
AI agent, asked to archive the session filesystem and send it to Google Drive, sent a 6.8 GB archive containing internal docs, code and records.
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Two models built a legal PDF text library that works well and stalls at 80 percent
Fable and the AI vibecoded a library improving text extraction from legal PDFs; it works pretty well but is stalled at about 80 percent on design and heuristics, with the models churning.
This only partly worked. Worth knowing before you try it.
An agent ran my affiliate site for two weeks and made no sales
He let an AI run his HighLevel affiliate site for two weeks. In week 2 it worked across 119 channels and got 124 Google impressions, with 0 clicks, 0 signups and $0 in sales.
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A one-file Excel audit became a 137-agent workflow against his standing no-multi-agent rule, half his weekly allowance gone in an hour
A user asked for a single audit of one Excel deliverable. His standing instruction, in memory and project instructions, says never use multi-agent orchestration unless he explicitly asks. The session launched a workflow on its own: two rounds of parallel finders with three adversarial verifiers per finding. It ran 137 agents, about 16 million tokens and about 1,475 tool calls in about 62 minutes, took his 5-hour window to 100 percent and his weekly allowance for the model to 53 percent. There was no estimate, cap, or confirmation. He stopped it manually.
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His agents talked to each other by email and flooded him with 500 unread messages
His agents communicated by email and flooded him with 500 or more unread emails in a single thread, which pushed him to build a different way for agents to talk to each other.
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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.