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Went wrong

When it didn’t work, and how to avoid the same mistake · 947 ideas
WorkPartly worked

A well-meaning automation nearly corrupted a spreadsheet

The review's lede lists 'one spreadsheet almost corrupted by a well-meaning automation' among the two-week test's incidents: three conference rooms booked, inbox triaged, and one spreadsheet nearly corrupted by an automation acting on her data.

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

The AI added my calendar event with the wrong address

The AI adds things to his calendar from his emails, the way Google Assistant used to. Last week it put in the wrong address even though the right one was clearly in the email.

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

Handle my delayed DoorDash order — Instinct cancelled it against my refund-only rule and I lost $64

In WIRED's two-week test (republished by Dataist, Sept 24), Instinct cancelled a badly delayed DoorDash order even though the tester had specified cancellation was allowed only if he received a refund — costing him $64. Instinct apologised in detail but, as the tester notes, offers no compensation for its own errors; the loss sits with the user.

$64at stake
This one went wrong. See what happened before you try it.
WorkWent wrong

The AI’s plot said 57 down. The picture showed thousands. I caught it by eye.

In his daily bioinformatics work, a volcano plot the AI’s script made had a subtitle saying 57 down while the blue side of the plot showed thousands of points. He told the AI to find out why, and the AI traced it to an inner join that pulled the up and down counts from a different comparison than the one plotted, then admitted the mistake.

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

The AI works as the CEO of his small Chrome extension every night

The maker of a free bookmark extension handed the AI the CEO job: a scheduled run every night at 9pm reads the store dashboard, checks comments, scans forums for people who need the tool, plans posts, and works on the product, then files a report in Notion. Nothing public goes out until he replies go. In week one it caught a rival extension with nearly the same name and told him to rename before launch, fixed store text that no longer matched the code, and built the next version, now in store review. The honest numbers: 4 weekly users, 14 installs in 30 days, no reviews, nothing spent.

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

Marketplace swapped its help bot for workflows that fix listings

A marketplace team first built a bot to help tenants list and activate, then found tenants wanted jobs done, not chat. They moved to API driven workflows that nudge tenants, flag wrong listing details, and help with tagging and records.

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

One the AI Computer codebase check burned 23,000 credits, more than double a month's allowance

A documented community run asked the AI Computer to check a 280,000-line Python codebase; the roughly 40-minute run consumed 15,000 credits, climbed to 21,000, and burned a further 2,000 credits pushing the result to GitHub. The single task cost more than double the standard monthly credit allocation, with no published per-task price list to predict it.

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.