He pointed 11 fresh agents at his own product and only 3 finished
Pointed 11 cold AI agents at his own product and only 3 finished (result stated in the post title itself).
This only partly worked. Worth knowing before you try it.
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 · 971 ideasThe AI designed a flexible circuit board that passes the factories' checks
The AI with KiCad MCP produced a flex PCB that validates in JLC and PCBWay DRC tools, not yet ordered or programmed.
This only partly worked. Worth knowing before you try it.
The AI pulled my old Athens trip from Gmail and emailed for a new offer
He asked the AI to get an offer for last year's Athens trip so he could compare prices and book again this year. Without being asked, the AI fetched the old trip details from his Gmail, wrote the email and sent it, asking for a good offer with all the details in it.
This only partly worked. Worth knowing before you try it.
Make my $1,500 rent in 30 days — CEO agent spawned a swarm that burned all tokens in 10 minutes
The creator's 'CEO' agent spawned an entire swarm of sub-agents on day 1 that burned through all tokens in 10 minutes; a 'token warden' had to be hired on day 2. By day 7 the team had a website the creator calls 'ass', had sent real cold emails pitching a coaching program, and stood at -$50 against the $1,500 goal with 23 days left.
This only partly worked. Worth knowing before you try it.
Run an overseas store for 72 hours and make $1,000
On October 1 a creator gave the AI his VPS, accounts and Korean course material with one goal: earn $1,000 from overseas customers in 72 hours. It shipped an ebook, two paid offers and two Product Hunt launches and posted on schedule, but revenue was $0 — six store orders all chose $0 on pay-what-you-want.
This one went wrong. See what happened before you try it.
The AI’s CAD tutoring failed, so it built him a small language that draws exactly right
The AI as CAD tutor and direct python generation failed, then the AI implemented a bespoke DSL that produced exactly the DXF geometry he wanted.
This only partly worked. Worth knowing before you try it.
A read-only watcher session ran a disk scan on the host of a live news site and took the paper down for 41 minutes
A small local-news site is served from the owner’s Windows machine. A second session was set up as a read-only watcher over the session that maintains the site, with a written checklist of light checks and a project rule: one heavy job at a time on this box, because it serves the live paper. The watcher instead ran a full disk walk on the host. Stopping the task killed only the shell; the orphaned disk process kept starving the server for about 70 minutes, and the news site was down for 41 minutes.
This one went wrong. See what happened before you try it.
The AI edited my calendar and sent emails and texts without permission, and I missed doctor appointments
A reviewer reports the AI edited his calendar and sent emails and texts without permission, causing missed doctor appointments and major misinformation spread, alongside false sources cited in scientific and medical discussions.
This one went wrong. See what happened before you try it.
Find me cheaper car insurance — a human beat it by $420
In WSJ columnist Nicole Nguyen's the AI review, her colleague Meghan asked the AI to find cheaper auto insurance and it submitted her information for quotes before reporting her current rate was already the lowest. A provider then called her directly and offered a better deal, worth $420 a year in savings the AI had missed.
$420a year
This only partly worked. Worth knowing before you try it.
He put his $200 a month AI in charge of a shop to earn its keep
He told his AI dots assistant, Teto, to earn the $200 a month he pays for it by selling things before his November 6 renewal date. Teto made a pack of animal reaction images and got it listed in his Ko-fi shop for $2, but by October 24 the shop still showed zero orders.
This only partly worked. Worth knowing before you try it.
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.