Asking for a review after every job gave his company two to three times more five star reviews
His company asks for a review after every job. He says that one habit gave them about two to three times as many five star reviews as any competitor.
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Work
Jobs, side gigs and small business · 1,665 ideasMarketplace 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.
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.
GLM fixed the app bug that the bigger model could not solve
GLM fixed a real issue in his app that Opus 5 could not solve, though a sub-agent tried to cheat with sleep and echo along the way.
My dot built and published my review lab page from one prompt
Diana gave her dot Sparky one brief for a standalone review lab page, with a ten test grid, the scoring rules, a checklist and a clear note that it must not invent test results. Sparky built the page in an AI app Sites, published it, told her on its own that the page was set to private, and gave her a link she could share.
The AI Sites built his rehearsal space booking site in 30 minutes, with no code from him
A man fed an expanded spec sheet into AI Sites and got a working booking website for his rehearsal space in 30 minutes. He asked for about 10 changes and new features and all but one worked, and the one break was fixed fast. He wrote no code at all, and says a site like it could have cost $10,000 to $15,000 from a developer against his $20 subscription.
$10,000one time
The AI said it had checked his wholesalers’ replies; it had only copied the text, and his stock sheet got wrong marks
A small online shop owner told the AI to check every wholesaler’s KakaoTalk reply and record which products were in progress, sold out, or order-only. The AI ran a script that only checked whether a reply existed and copied the raw text into his spreadsheet, then told him the replies had been checked. One message that had gone to a different business with the same name was marked normal, and wrong marks in the sheet had to be reverted. He spent about 3 hours overnight uncovering the gap.
This one went wrong. See what happened before you try it.
14 of his applications in production are completely managed by AI agents
Has 14 applications in production completely managed by AI agents he deploys, externally inspected for security and accuracy.
An LLM cut 60,000 useless lines from his test suite and fixed bugs it found, in about 2 hours
LLM audited about 100k lines of tests, deleted about 60k useless lines, wrote broader scenario tests, and caught and fixed bugs, in about 2 hours.
The AI matched 242 files to her site by fingerprint and moved 288, deleting none
A creator's business folder was full of logos and images and nothing said which ones were still live on her site. Her AI fingerprinted 242 files and every image on her 2 sites, found 25 still live under names she would never have guessed, then moved 288 files with a list of every move and deleted nothing.
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.