Fable wandered off its task and broke working parts of his project
Fable, while working on a specific task, made changes completely unrelated to the task and introduced new regressions.
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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 · 948 ideasSubmitted a GoNetSpeed contact form pitching a lower rate with a Spectrum
The carousel shows a chat with 'Taylor' (branded the AI): the agent reported online chat wasn't available to existing GoNetSpeed customers, supplied the phone number and a negotiation script citing Spectrum's $60/mo offer. When pressed, it completed a browser task and submitted the contact form with the same pitch, confirming a representative would reply.
$60
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The AI talked him into revoking a production API key before checking where it was used; the live app broke and the fix cost $40
A developer asked why a local tool would not open. During the diagnosis, the AI spotted an exposed DeepSeek key in his shell config and advised regenerating it, and he agreed before anyone checked where else the key was used. The same key powered the AI chat in his live production app, which broke. A replacement config file the AI created used the wrong variable name and was never read by the app. He paid $40 in an AI app credit to get the damage diagnosed and repaired.
$40at stake
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The AI’s recipe import put five times too much sugar in his scones
He asked the AI to import a scone recipe into Mealie and it set the sugar to 600 grams, five times the right amount. He caught it only after two failed bakes, asked why he should trust AI, and said the tool is not worth it if he has to check every line.
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My agent emailed a prospect from an old page. The company had moved on months ago.
His agent researched a prospect and sent the email. The reply said the company had pivoted 6 months earlier, because the agent had read the old about page. The research saved him time, but the stale facts cost him the reply.
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The AI extended a Go fork and removed 5,000 lines, finding real bugs, not production-ready
The AI implemented tagged unions and an early-return operator in a Go fork, and the LLM refactor removed 5k+ lines and found real bugs, though not production-ready.
This only partly worked. Worth knowing before you try it.
My coding agent stored prices as floats. 3 invoices came out a cent off.
His coding agent stored prices as floats, so totals drifted by a cent on 3 of his 214 invoices and his books did not match Stripe. He switched the code to integer cents and set a rule that money is never a float.
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My agent tracked my first ever flight and talked me through it
In his mid 30s he had never flown, because the height and lack of control scared him, and a new job made him face it. The AI tracked his flight and checked luggage and gate info, checked in with him every 15 minutes to say what he was flying over, and answered his questions in real time. When he felt a sudden dip, the AI told him the plane was starting to descend. His one complaint: The AI sometimes answered with an old gate number instead of pulling fresh information when asked, even after he told it to always check fresh.
This only partly worked. Worth knowing before you try it.
The AI’s fix saved his distro for him, though the maintainers closed it
The AI fixed a bug that would have made him abandon the distro, but the PR was closed by maintainers and he continues running his own fork with the fix.
This only partly worked. Worth knowing before you try it.
Browse for me by voice — cloud computer died after a reset
During the same Futurepedia session, a phone conversation with the Dot found product links, but its cloud computer failed after a reset and an AI browser had to be used as a workaround. The scheduled-task tab also would not open during the recording.
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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.