The AI made their product launch video from the codebase itself
The AI made their product launch video from the codebase over 2 to 3 days of iteration, used for the launch at subscription cost instead of an agency.
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Work
Jobs, side gigs and small business · 1,665 ideasThe AI built him an outreach pipeline whose retry loop and fake budget guard ran up about $50 of API charges
A user asked the AI to build a multi-agent outreach pipeline. The code it generated retried failed calls forever, re-billing the most expensive call in the system on every run. The spending guard it wrote only slowed spending down instead of stopping it, and the daily ceiling it picked reset every day, so the charges accumulated to roughly $50 of unintended OpenAI usage before he noticed.
$50at stake
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His team's agents keep a live wiki of decisions and status that he steers from
His team has coding agents write and update a wiki of decisions, open questions and status as they work, which he reads to set direction for the next agent sessions on real projects.
The AI built his courtroom video switcher app in 20 minutes
The AI in 20 minutes built him an Android app to find and control an ATEM Mini Pro over network, switch inputs, audio and fade, used for courtroom work.
20 minsaved
Let the AI run my Facebook page for 60 days with seven prompts
A creator ran his Facebook page on a seven-prompt the AI system for 60 days: The AI mined his top 10 past posts for a repeatable formula, planned 30 days of content, drafted each post three ways, and rescued weak posts every Sunday. He reports 56.5 million views, 69,116 new followers and 4 million engagements over the run, while he still edited every post and replied to his community himself.
My agent scans my competitors every week and fixes my site's internal links
The same business owner runs AI on a weekly cycle for search traffic. It scans competitor sites for the keywords he tracks, compares his own pages against them, suggests changes, and finds and puts in internal linking fixes itself.
Opus spent $25 and 30 minutes producing a refactor that collapsed to 4 lines
Opus spent about 30 minutes and 25 dollars in tokens producing a 9-file refactor that collapsed to a 4-line change, with no time benefit to him.
$25at stake
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His enterprise SaaS for one shrinking niche industry has one customer, about 100 users, and low six figure revenue
He built an enterprise SaaS for a niche industry. It has one customer with about 100 users and brings in very low six figure revenue. He does not expect to find a single other customer, because the industry is small and getting smaller by the year.
The AI auto-dubbed his YouTube videos into English
A dedicated segment of the same session shows the AI auto-dubbing his videos into English, opening his Urdu-language lessons to an English-speaking audience.
Ran an automatic playlist pitcher: researched genre-matched Spotify playlists and sent cold
Independent musician someone lists three career assists from the someone agent: an automatic playlist pitcher that researched genre-matched Spotify playlists and sent cold emails resulting in a placement, an EPK refresh that auto-checked streaming stats and compiled clickable social links, and data-driven venue pitching across new cities. No compensation from Meta disclosed; referral code IH600W shared.
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.