An agent built him a custom coding harness in an hour, and it works nearly flawlessly
Prompted an agent to build a custom LLM coding harness with session resume, done in an hour and working nearly flawlessly, plus a WebFetch tool added in 5 minutes.
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.
Prompted an agent to build a custom LLM coding harness with session resume, done in an hour and working nearly flawlessly, plus a WebFetch tool added in 5 minutes.
He was negotiating a contract for an enterprise SaaS product. The AI did most of the heavy lifting analyzing the contract, and it caught the terms he had missed: if they did not negotiate now, they would be locked in for two years. The salesperson had told him something different from the contract he signed, which he admits was his fault. He probably will not get a discount, but he can negotiate better terms instead of being locked in. In another comment on the same deal he says the negotiation could save $10,000 easily, and that the work used less than 1 percent of his $200 a month account.
He bought a Humble Bundle of Android games 10 years ago, but they are 32-bit and will not run on his 64-bit phone. He asked the AI to decompile and recompile them, and the games work on his phone again.
The AI makes his listings for eBay and Facebook Marketplace and researches what similar items sold for. He approves the price before anything goes live and sends the photos himself, which he says keeps the listings honest.
A user built a custom the AI skill that remote-starts their car, reports EV battery level and monitors charging status from any chat. They published the skill because nobody else had made one for it.
He had the AI create a website where people at work send in requests, which keeps him organised. Then he made it read the requests and carry out the fixes as they come in.
A man's Bluetooth keyboard and trackpad can only pair with one computer, and the switching tools he found needed both machines awake to work. He used AI to help build his own tool, which moves the pairings to whichever computer is active based on sleep, wake and display events, and he put it on GitHub for anyone to use.
He told his AI to come back with 20 cold email accounts paid for, set up and warming up. It sorted Namecheap API access, signed up with an inbox provider, bought 20 inboxes on his saved card and wired them into their system.
The AI helped flash his router with OpenWrt, including running an exploit itself and instructing the UART steps to load the binary permanently.
Graham McDermott posts that he started using AI to understand his Verizon upgrade options, and it identified a bookkeeping error on his wireless account and had him change the autopay account routing. The fix saves him $24 per month with minimal effort.
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.