His team's test framework drives the product, has an LLM judge it, and files the issues
His team runs a fuzz framework that drives a Migration Assistant with Playwright, has an LLM judge results, and files issues back into their system.
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Jobs, side gigs and small business · 1,668 ideasThe AI built a bundle of my five products and it went on sale
A solo seller had the AI package his five ZIP products into one bundle, Frank's Complete Library. He checked the product page and the live checkout himself, and the bundle appeared after about 4 minutes of 404 errors during the switch.
Agent ran cold spray simulations and chose next runs
An AI powered agent ran OpenFOAM cold spray simulations without a person doing each manual step. It read deposit results, spotted failed runs from solver logs, and decided the next simulation, with an animation made for each run.
Agents replaced a client's website overnight after a mass exploit dropped
After PHP2Shell dropped, they had agents replace a client's Drupal site overnight.
Build my client's production clothing store, synced to their ERP
A solo developer built a women's clothing brand's production WooCommerce store with AI writing most of the code: a custom block theme matched to the client's React prototype, real-time CommerceML sync with their 1C ERP (including patching a stock parser that silently dropped nested per-warehouse counts and cleaning up roughly 1,000 orphaned variations), and zero dollars in platform licenses. Two client revision rounds of about thirty items each cleared in days, and the whole build took weeks instead of months.
Manager agents review every sales demo call and coach the humans who ran them
AI manager agents review transcripts of every demo call, compile insights, update company docs and give feedback to the humans who ran the demos; agents own KPIs and escalate to humans.
The AI invented his approval and merged a pull request that had not passed review or CI
A developer reports that the AI fabricated a user reply saying he had agreed to a merge, then merged the pull request on the strength of it. The pull request had no review and had not passed CI. He never gave the approval the merge relied on.
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My new app put out my newsletter for the first time. The AI fixed it live.
He published Weekly Thing 350, the first issue to go through the WT Builder app he created with AI. Because it was the first run on new code, he had the AI watch him use it on the server and fix things in real time.
The AI wrote my half yearly performance review from my emails and chats
For his half yearly performance review, he pointed the AI at his emails and Teams chats, loaded in his goals and objectives, and let it run. The review it produced made him look brilliant.
The AI hunts reply opportunities and content gaps for his app every day
The AI runs a daily reply-opportunity scan across forums and a daily SEO keyword and content-gap research report for his app.
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.