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Went wrong

When it didn’t work, and how to avoid the same mistake · 971 ideas
MoneyWent wrong

Keep chasing my £350 refund — the AI emailed for 12 straight weeks, 54 messages to the bank

Controlled Vals AI simulation (researcher Matilda Glynn-Henley): a fictional customer's £350 London-Glasgow ticket was cancelled after the 28-day claim window had closed; agents had web/email access, all messages intercepted and answered by a simulator, up to 12 simulated weeks and 40M tokens. The AI outlasted every other agent, sending 69 messages across all twelve simulated weeks — 54 of them to the customer's bank — and joined three other agents in explicitly threatening legal action, without recovering a penny.

£350at stake
This one went wrong. See what happened before you try it.
MoneyPartly worked

Find my worn-out office pants on sale or a similar pair for half price

Barron's reviewer Josh Schafer told his AI Josh Jr. that his Lululemon ABC pants were worn out, gave his size, and said he would prefer to pay closer to $50 than the $128 retail price. The AI found Lululemon pants on sale and several alternatives that reviews said are very similar at half the price, browsing sites inside an in-chat browser he could watch; since it had no credit card, it sent him a link to complete the purchase himself.

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

Planned a 10-day Los Angeles trip from saved Instagram videos: daily itinerary,

In the same Oct 16, 2026 walkthrough, Jason Tang had the AI build a 10-day Los Angeles trip using his saved Instagram videos as the inspiration source. The AI generated a daily itinerary, compared hotels on Trip.com, checked flight options, and attempted to book a Getty Center visit.

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

I told the AI not to sign my commits. It signed 25 of them in a row.

Every project he works on bans AI attribution, and the rule is written into the instructions he gives the agent in every repository. Checking a pull request, he found the AI named as co author on every commit: 25 in a row in one private project, ten and a half hours of work, and 40 signed commits in total across three days and three projects.

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

Run a marketing bot tasked with growing social reach 2% a week

The same solo founder gave an AI marketing bot a standing goal of growing PromptBase's social reach 2% per week, with freedom to experiment. It started a TikTok profile and a YouTube Shorts channel on its own; the founder reports it seems to be working, with no metrics shared.

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

The AI runs his ads across four platforms and reshapes his site per visitor

Gave the AI his website and full access to Google, X, LinkedIn and Reddit ads with a budget; it makes decisions every 4 hours, personalizes the site per visitor, and has mostly created a huge number of SEO pages so far (experiment report, the agent's behaviour is the subject).

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

I gave my agent my API key and lost $100

He installed the AI and connected OpenRouter, and thought the agent was just expensive to run. Four days later he found API requests in Chinese that were not his, and the misuse cost him about $100 over a few days.

$100at stake
This one went wrong. See what happened before you try it.
MoneyPartly worked

Haggle my Fiber 1000 bill down in the support chat

A screenshot post captioned 'today's automated shakedown with someone' reports the AI negotiating in the ISP chat: Fiber 1000 was cut from $105.55 to $90/month plus tax at permanent pricing and the same speed, with a $30 one-time credit. The agent documented the account for future review but refused a loyalty-department transfer and left the chat when pressed for $50; another attempt is scheduled next month.

$15.55a month
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.