The AI found why we were bouncing our own active SMS clickers
His company's system was bouncing active SMS clickers who threw too many 30003 errors. The AI Ultracode found the cause, and the fix means the sunsetting code now ignores active clickers.
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Work
Jobs, side gigs and small business · 1,693 ideasA five file audit made the AI spawn 126 agents twice and burn half a weekly allowance
A user on the $100 Max plan asked the AI to audit five or six login files for translation issues. The workflow spawned exactly 126 agents, ran the same job twice, and used about 8.4 million tokens, roughly half his weekly allowance.
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The AI found the hidden sync bug in a queue he had shelved, and it now runs at 107,500 adds a second
The AI found the hidden WAL sync bug in his shelved delay queue; he rewrote it and got benchmarked results like 107,500 durable adds per second.
His server agent reads Google Ads at 6 AM and tells him which campaigns burn money
Polish marketing freelancer Damian Nowaczek runs AI agents on his own server: every day at 06:00 one pulls data from his Google Ads accounts, compares performance and sends a report with conclusions to the company chat, so he never opens ad dashboards to spot a campaign burning budget. A second agent scans new public tenders daily and picks the marketing-related ones.
An LLM built my court bundle. The court issued it in 5.5 hours.
Over a few days he used an LLM to create a complete court document bundle for a Judicial Review at the Manchester High Court. He filed the documents today and the court issued them within 5.5 hours, something he says he had no chance of doing on his own.
The AI built him a strict editing app, and he used it on the document he is writing
Used the AI to build an omit needless words app and used it to edit a document he is working on, accepting about a third of its suggestions.
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.
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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.
The AI edited my whole video from one raw clip
He dropped his raw clip into AI and it did the edit: it cut the stutters, pauses, and ums, and added zooms, sound effects, captions, and animations. He says the finished edit was the AI’s work, not his.
Ten agents run my wife's and my online shop while we make the decisions
A couple runs their online shop with a team of AI agents, each with its own job: one handles products, categories and stock, one does deep search analysis, one makes product photos and short videos, one runs the blog, one posts to social accounts, one manages ad campaigns, and a brand expert that knows every manual and writes in the shop's voice. Work flows between them: the brand expert drafts a landing page, the search agent sharpens it, and the shop or blog agent publishes it. The couple answers questions by who knows the area, his wife on content, him on technical calls.
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.