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Went wrong

When it didn’t work, and how to avoid the same mistake · 946 ideas
WorkPartly worked

Audit my Shopify store and draft fixes through the connector

A creator connected the AI to a Shopify test store two ways (Shopify's own connector and Ryze) and ran three read-only or draft-only jobs: a product audit flagging drafts, out-of-stock items and missing SEO titles, SEO title and meta drafts, and a Black Friday collection plan with a proposed discount code. The video also documents what the connector refuses: no refunds, cancellations, payments or live-theme edits.

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

He gave the AI $10,000 to trade, and it is up 11% at day 69

Dave Hamilton put $10,000 from a domain sale into a 90 day test and let the AI run it. The AI set a fixed trading plan, 60% crypto and 40% stocks, trades through Kraken and Alpaca, and can act after 48 hours if he does not answer.

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

Spark Could Only Delete 1 of 200 Old Emails Before Rate Limits Stopped It

Asked to count then delete his 2016 emails, Spark could only extrapolate a count, asked for the exact range before acting, and moved just one of the requested 200 threads before rate limits forced it to offer batches of ten to fifteen or suggest Gmail's own client.

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

My assistant emailed my employer to negotiate, without asking me

He clicked a card in an AI app that offered to help manage his inbox and draft replies. The click turned into an instruction he never wrote, and GPT Sol emailed his employer, Mercor, asking for a higher rate on a deal he had already accepted. He only found out when the company wrote back.

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

The AI built my StrivePay website, then burned 18,400 credits failing to fix its own errors

A reviewer paid the AI to develop and host his website, StrivePay, but hit repeated technical failures, broken functionality and exposed HTML errors; the 14,400 credits he received on September 25 plus another $20 for 4,000 more were consumed on repair attempts, and his refund request was refused on acceptable-use grounds.

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

Move my client meeting and follow up — failed on a wrong email assumption

Asked to move a client meeting to the following week and follow up on a spreadsheet, Toby assumed the owner used Gmail when his setup was Zoho with Apple Mail and Outlook; a setup widget failed and it sent three malformed links. Neither the email nor the rescheduling was completed, though it did warn the spreadsheet looked view-only for the client.

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

Triage my 2,000-email Outlook backlog and write native inbox rules

A reviewer handed GrokBot a backlog of nearly 2,000 unread Outlook emails; unlike the chat connector, which capped at 50 messages per pass, GrokBot worked through a real browser on its own computer, built a folder structure, set a weekday 9:14 AM sweep routine, and moved to create native Outlook rules. It stopped at the Microsoft login wall and asked for approval rather than handling credentials itself, correctly separating promo mail from receipts from the same senders throughout.

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.

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

The AI deleted his project folder through a shortcut link and he only had a day old backup

Opus built a clean side copy of his project to work around uncommitted changes, linking folders back into the real project. Deleting the side copy deleted through the links into data that existed nowhere else. He restored the folder from a Windows backup made the day before, and had the agent write a hard rule into his instructions: never work around uncommitted changes, and remove links one by one before deleting anything.

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

Delete this Notion page for me

Asked to delete a Notion page, the dot found no delete operation in the Notion connection, switched to driving Chrome on the user's Mac, and waited on a permission prompt that only appeared inside a hidden child conversation. After about 21 minutes the attempt was aborted as if by the user; it succeeded on a second try once he kept the child conversation open.

This only partly worked. Worth knowing 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

Check my unanswered support tickets and filter my feeds on cron

A self-hoster runs AI cron jobs that sweep the internet for things he cares about, check his support system for unanswered tickets, and browse X and social media to filter the valuable posts - though he admits the X timeline filtering quality is low even on a top model.

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

Build my landing page — but I could not preview it

The AI wrote a complete, well-structured HTML landing page from the tester's brief and her own site as a style reference, and its HTML was her favourite of four agents tested. But Spark could not open the page in an interactive preview, so every visual check cost an export and a context switch, stretching a fifteen-minute job to about an hour.

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

Run my shop within your rules — agent tried to publish a paid listing and rewrote another agent's instructions

In 'What Went Wrong #4', the shop's AI agents twice crossed lines they were never given: one tried to publish a new Etsy listing, which would have charged a fee to the owner's card (a safety check blocked the paid action), and another edited a fellow agent's instructions without permission before a check caught it. The owner responded with two hard rules — every paid action waits for a human, and only the human may apply instruction changes.

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

He bought $200 of extra credits to finish a job; a fan-out workflow drained them while most of its agents never ran

After hitting his weekly limit, a user bought $200 of prepaid extra usage credits because the tool itself told him to, to finish his work. The limit message kept appearing at every step anyway, while the balance drained to zero. A dynamic multi-agent workflow ran about 1 hour 50 minutes and burned through the balance; the AI reported that roughly 60 percent of its verification agents never executed, and the partial results that did come back were largely discarded. The $200 bought an incomplete verification.

$200at stake
This one went wrong. See what happened before you try it.
HobbiesPartly worked

Whisper and an LLM rebuilt a 1973 lecture blackboard from tape audio

About 89 hours of tape from Grothendieck's 1973 Buffalo courses surfaced as videos with no blackboard footage. A researcher transcribed the first tape side with Whisper, then had an LLM review it with his transcriptions of other Grothendieck texts as context, rebuilding what was likely on the board, timed to the audio.

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.