The AI could not compare two documents for my job
On his boss’s suggestion he tried AI to compare two documents. It failed badly, and about 15 minutes later he was back at square one.
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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 · 971 ideasLLMs port phone chip drivers toward mainline, with heavy review before anything merges
Uses LLMs to port Allwinner vendor drivers into mainline-style variants and uboot for his board-mainlining work; output still needs substantial review before merging.
This only partly worked. Worth knowing before you try it.
A vibe-coded crypto wallet took his real private key and hit a bug no reviewer caught
Vibecoded a crypto wallet with Astra, Opus and Luna, imported his private key and used it with a web3 app, hit a bug the reviewers missed and did not know if his money was lost.
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I gave it 30 days to make $100 from nothing; on day one it shipped a live game deals service
He gave the AI a challenge: make $100 in 30 days with no budget, armed only with a subdomain, Cloudflare access and a payments integration. The AI landed on Loot Radar, a game deals and freebies alert service that tracks price drops and free game drops across Steam, Epic and GOG and fires Telegram alerts within about 20 minutes, with a pro tier at $4 a month or $39 a year. The site is live and taking sign ups, payments wired. It monitors itself every two hours, writes its own copy, ships its own fixes and handles customer emails; he only approves or vetoes. The $100 itself had not landed yet on day one, so the outcome is partial.
This only partly worked. Worth knowing before you try it.
The AI made the lumber list from photos of our rotted mailbox. The list was not quite right.
A couple found their mailbox on the ground with the post rotted through. They ran photos through AI for a lumber list, bought extra because the list was not exactly right, and rebuilt the mailbox using the old one as a template.
This only partly worked. Worth knowing before you try it.
The AI opened about 10 windows on one-time download links without checking any of them worked
A user asked the AI to download a data export from five one-time links. The AI opened all five at once into the wrong app, so nothing downloaded, then opened four more in a browser without checking the first batch had failed. About ten windows and tabs later the one-time links may be used up. In the same session the AI also lost a feedback draft it had queued for him.
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Solo operator ran his whole business on 14 the AI scheduled tasks for 30 days
A Japanese solo operator's measured 30-day log (Sept 10-Oct 10, 2026): 14 the AI scheduled tasks ran his sales outreach, publishing and bookkeeping: collecting job postings every morning, patrolling for new postings hourly, watching email every 30 minutes, drafting proposals (255 drafted; 3 replies; 2 contracts totaling 8,500 yen; product sales 0 yen), posting nightly note articles and five daily Shorts slots, and restarting stalled tasks. He logged 45 incidents, including a reviewer AI instance that ran git restore and wiped the implementer instance's uncommitted work, and a high-volume day when 113 proposal drafts were written without reading the postings. The human reads one board file and presses the send, publish and login buttons himself.
¥8,500
This only partly worked. Worth knowing before you try it.
AI agents are running his backlink outreach and replies are coming in
He started a cold outreach campaign run by AI agents to win backlinks for his projects from related websites. He says the campaign has already brought some positive responses.
This only partly worked. Worth knowing before you try it.
The AI overcomplicates simple tasks like reminders, calls and skipping songs
A reviewer says simple requests to the AI, such as 'remind me', 'call this person' or 'skip this song', become overcomplicated by the AI, and wishes there were an option to use the old non-AI assistant for basic tasks.
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The AI works as the CEO of his small Chrome extension every night
The maker of a free bookmark extension handed the AI the CEO job: a scheduled run every night at 9pm reads the store dashboard, checks comments, scans forums for people who need the tool, plans posts, and works on the product, then files a report in Notion. Nothing public goes out until he replies go. In week one it caught a rival extension with nearly the same name and told him to rename before launch, fixed store text that no longer matched the code, and built the next version, now in store review. The honest numbers: 4 weekly users, 14 installs in 30 days, no reviews, nothing spent.
This only partly worked. Worth knowing before you try it.
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.