Real things everyday people got it to do, and how to try them yourself.
A random mix from the whole library. Shuffle for a new set.
Pavuluri Gopikrishna had the AI build a photo-based calorie tracker, then cancelled his paid calorie-tracking subscription because the agent-built one replaced it. The build-to-cancel pattern shows the AI replacing a recurring SaaS cost.
He used AI to build his own to-do and budgeting apps that work the way his brain works, after never finding apps that suited him. The AI also taught him how to sideload them onto his phone, and he calls it a game changer.
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.
The post shows a chat where the AI reports the new rate is live: $9.99/mo + tax ($11.29 effective Oct 15, down from $13.46), includes CNBC, no contract, reverting to ~$26/mo after 12 months unless renegotiated. When asked 'so did you save me money?' the agent answers '$2.17/month, about $26 over the year.'
A small agency owner whose team does websites, content, Google ads and SEO for home service businesses runs the work through about 30 AI agents. The problem was memory: every session started cold and repeated mistakes. Since June they share one log that only grows, now about 11,400 lines including 413 decisions, where every note names the agent that wrote it and links to proof, and replaced facts stop showing in searches. A separate grader agent scores every piece of work, though he found 208 of 277 grades had been credited to the grader instead of the worker.
A man returned books that arrived late and Amazon said some were missing and tried to charge him $152.35 again. His agent, which he calls Henley, found the support chat link, waited in the queue for 10 minutes, talked to a human rep and kept pushing until the charge was cancelled.
He runs recruiting for an investment firm across 30 open roles spread over five applicant systems. His AI cron runs at 9am, reads the open roles, searches people through data services, checks Gmail so nobody gets emailed twice, and writes new candidates into the right system with its reasoning attached. In about six weeks it surfaced 40 good candidates and the firm made 2 offers.
A user’s the AI found hard-to-find pens in a small Polish shop, emailed the owner in Polish, got an invoice issued, and paid it with the user’s approval. The pens were shipping by the time he posted.
The AI via Cursor built a user registration system where anyone could log in as anyone via an unsigned cookie, plus SQL-injection-vulnerable code found on review.
The creator had the AI go through his credit card statements, and it found a $720 GoDaddy charge that he had never noticed. The creator runs several small businesses and points to a full video about how he fired GoDaddy and now runs 8 websites for about $1 a month.
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.