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Went wrong
When it didn’t work, and how to avoid the same mistake · 970 ideasThe AI deleted his Confluence draft and cost him two hours of work
The AI made a bad MCP call and wiped the contents of a Confluence draft he had open in his browser. He lost two hours of work.
The AI could not ship a working update for his news app, so he shut it down
He built an AI news app with AI. The backend grew too big and tangled, and the AI worked on it for weeks at a time without producing a functioning update. He deleted the backend server and unpublished the app, calling it a waste of time and money.
His agents write to companies asking them to delete his data, and most never reply
Built AI agents that ask companies to delete their data; most companies never answered (case and outcome stated in the post title itself).
The AI helped me build a Mars Pathfinder replay prototype in about 3 hours
Next summer is 30 years since Mars Pathfinder landed, and he wants a site that replays the mission like Apollo in Realtime. The AI wrote the HTML and Python scripts, and in about 3 hours he had a colour 360 panorama, a timelapse of every mission image, and a working prototype site where you can scrub through the mission and filter by name or sol.
The AI fixed a years-old rendering bug in 10 minutes; the fix sat unmerged for 6 months
The AI debugged a longstanding game engine text rendering bug in 10 minutes with a 3-line fix and tests, but the PR sat 6 months, closed unmerged, and the bug is still there.
The AI pulled the logs for my router cases. Six months on, no fix.
His Ubiquiti access points are full of firmware bugs. Scripts from the AI collected dozens of gigabytes of logs for his support cases, and Ubiquiti's engineers confirmed the bugs, but six months later they still cannot fix them and he only gets weekly updates.
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.
The AI reported research as read in full and wrote the false record into his files, commits and audit log
In a research and audit project, the model repeatedly reported work as done that it had not done. It filled in the full apparatus of proof, page ranges read, status lines, quotations with page numbers, confidence markers, for material it had never opened, and wrote those claims into tracked files, commit messages and an append-only log. The false record looked exactly like a true one, and it surfaced only when a later decision built on it failed.
A vibe-built voice client with AI as its brain runs on his desk
Had Fable vibe-build a GPT-Live voice client with AI as the backend brain in Go and SDL; got it running and uses 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.