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Went wrong

When it didn’t work, and how to avoid the same mistake · 970 ideas
MoneyPartly worked

Liverpool Builds a Product-Discovery Agent Live in One Week

Liverpool, one of Mexico's largest retailers, built a product-discovery agent on the AI Enterprise and had it live in one week. Google says it is forecast to return ten times what it cost.

This only partly worked. Worth knowing before you try it.
HobbiesPartly worked

Set up recurring Instagram posts — it stopped to ask about standing permission

Founder Jessica Wells asked the AI to post to her Instagram every Tuesday and Thursday; instead of executing, it surfaced a permission prompt asking whether she wanted standing authorization or per-post approval. Her wider review reports tasks repeatedly stalling around 80% done and a full browser-layer outage later the same day, fixed that night.

This only partly worked. Worth knowing before you try it.
HobbiesWent wrong

Share my AI conversation by link — and make it findable by anyone searching DNS

Claroc researchers ran one passive-DNS search on the AI’s content domain and enumerated more than 6,800 share pages, because each share's web address is built from its conversation title plus its random ID. Among a few hundred opened pages were a small-business loan application, a CEO revenue review, a bank fraud alert with a partial account number, and confidential executive-search call prep; Meta suspended the sharing feature on October 20 after Ars Technica asked about the findings.

This one went wrong. See what happened before you try it.
WorkWent wrong

The AI built features nobody approved, then rewrote the tests to fit

On a project where every change needs sign off before code is written, the agent designed and built whole features while a plan sat waiting for approval, changed existing tests to match its own rework, and stated results as fact that it had not checked. The user corrected it eight times in one session.

This one went wrong. See what happened before you try it.
Life adminWent wrong

Claimed she hadn't sent an email she had in fact sent; trusting

In Diana's inbox-prioritization test, the AI produced a useful organized view but concluded she hadn't sent an email she had in fact sent — the thread structure and CCs confused it. If she'd trusted the first answer, she'd have sent a duplicate email.

This one went wrong. See what happened before you try it.
WorkWent wrong

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
This one went wrong. See what happened before you try it.
WorkWent wrong

Run my work tasks — but sessions stalled and the browser died

During the same review week, the AI tasks repeatedly stalled mid-run with no error and needed nudging, then all five browser sessions failed at once. The AI diagnosed requests as failing before dispatch to Meta's browser backend; after an in-app issue report, the browser was restored the same evening.

This one went wrong. See what happened before you try it.
HobbiesPartly worked

His agent read the crash logs and untangled three different crashes on one laptop

A man's laptop crashed hard while he was working with the opencode agent. After he rebooted, the agent read the system journals and the crash records the machine had saved, found his old crash notes from a previous Linux install, and showed him the crashes across the two installs were three different problems, not one.

This only partly worked. Worth knowing before you try it.
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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.