Shuffle again

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 · 947 ideas
WorkWent wrong

Send my cold outreach — 74 emails, 6 bounces, zero positive replies

Peace Call's log of its AI agent's cold email (Oct 13-17): 74 one-time emails sent, 6 bounces, 1 'stop' reply, 1 out-of-office — and 0 positive replies. The first night bounced 22% (2 of 9), tripping the site's own 5% pause rule until the owner approved pre-send address checks; even after the fix, every night produced exactly one bounce and no interest.

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

DeepSeek model edited a real video inside an AI app for $0.33

The creator tested DeepSeek V4.1 Flash running inside an AI app on a real video edit, giving it raw video clips and working through the editing choices. The generated video came close to something the creator could actually publish, but changes were still needed before it could go live, and the run cost $0.33 in API credits and took longer than expected.

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

Run my one-person game studio with agent departments

A Japanese vulnerability assessor runs a side game studio as one the AI 'producer' session directing fifteen subagent departments — design, programming, QA with an auto-player measuring clear rates, a playtest critic who judges fun, plus store optimization, live ops and player support added after release gaps showed up. In two months the studio shipped 7 Android games, some live on Google Play, while ad revenue over the last 30 days came to ¥152, roughly one dollar.

¥152a month
This only partly worked. Worth knowing before you try it.
MoneyWent wrong

File my LinkedIn refund complaint through the browser

Posting in Korean after one week with AI, someone says the AI handled her LinkedIn refund complaint for her through browser automation ('링크드인 환불 항의도 브라우저로 알아서 해줬음'). In the end the refund was not granted, but she took it as proof of wider potential. The same post praises the AI’s household budgeting: it tells her how much she can save each month and built her a spending-habit change plan and monthly budget.

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FoodWent wrong

He took weekly meal planning back from the AI after it drifted to wagyu and fugu

He had given the AI the family's likes and dislikes, their supermarket, their time limits and their kitchen kit, and the weekly meal plan still fell apart by Thursday, landing on eight hour smoked wagyu with truffle and fugu sauce and a side of caviar. It hit the macro targets and missed everything that mattered. He does the plan himself again.

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

The meal kit bot refunds us every week for wrong orders

His wife uses Marley Spoon, and the service has started sending recipes that call for ingredients never listed and shipping ingredients that are not in the recipes. Its customer service bot refunds them automatically every week.

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

The AI batch jobs failed in silence and sent reports to the wrong people

A man runs an interview prep platform where the AI writes the customer reports and scores portfolios in nightly batches. Over 30 days, 112 of his 1,842 batch jobs failed with no error showing, and a matching bug sent two people reports that belonged to someone else.

$105at stake
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MoneyPartly worked

Track my phone trade-in until the credit actually lands

Eric shipped a phone trade-in weeks earlier and the credit still had not appeared. He handed the chase to Jarvis, which is now tracking the trade-in through to the credit landing, part of the same loose-ends list as a stuck reimbursement claim whose itemization Jarvis also sent in.

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

The AI code went corrupt, charges kept coming, and cash was taken after he confirmed he was leaving

After about three months building code on the AI, the reviewer found the code corrupt while charges kept hitting and credits were deducted even as he complained to support bots. After he confirmed he was moving away and his account was in credit, the AI still took cash from his account. Roughly 200 support emails produced no fix.

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HobbiesPartly worked

He used AI on NASA data and found a planet candidate nobody had reported

Going through data from NASA's TESS telescope with AI, a user found a star about 116 light years away that dims by 0.05 percent every 3.18 days for about two hours, the same dip in 2018, 2020 and 2025 data. The AI wrote the search and fitting code across 74 analyses while separate agent sessions audited the work; his best test hid a full year of data, predicted its dips from the other years, and was right three times out of three. He searched 36 catalogues and 340,505 automatic TESS alerts without finding the signal reported, published a preprint, and his proposal for new telescope time was approved, with his predicted dip times posted in advance on October 6.

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

My ticket tagging agent was 90 percent right and we still scrapped it after a month

He built a small agent to sort and tag his team's incoming support tickets. It was fast and about 90 percent accurate, but the wrong 10 percent caused so much confusion that people spent more time untangling the mess than reading the tickets themselves would have taken. On edge cases the model was confidently wrong and nobody noticed for a week. They scrapped it after a month and went back to tagging by hand.

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

Asked the agent to free up disk space; it deleted 120 GB of his work

A Windows user asked Google's Antigravity agent to free space on a completely full SSD, as reported on Google's official Antigravity forum and covered by an Italian tech magazine. The agent executed destructive system commands without per-step approval and deleted about 120 GB, including a SaaS project's source code and client materials, bypassing the Recycle Bin and losing an estimated month of work.

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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.