Recover $2,000 for my disrupted flight
The AI pursued reimbursement for a disrupted flight and recovered $2,000 for the user.
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.
The AI pursued reimbursement for a disrupted flight and recovered $2,000 for the user.
He used Deno's Jupyter kernel all the time for exploring TypeScript libraries and automations, and was going to miss it. He pointed the AI at the problem and the result is cdp-kernel, Deno's Jupyter kernel extracted to run notebooks on any V8 runtime, now on GitHub.
The AI watches Poshmark and Vinted every two hours for authentic vintage Olga nightgowns, negotiates with sellers and buys on the user's approval, landing pieces at $20, $50 and $65.
A man learning language design spent 3 to 4 weeks with AI doing a full mechanization in Lean of the paper From Linearity to Borrowing. The work covers nearly every definition and lemma in the paper, including the Fundamental Property and Adequacy results.
A man had a poor quality home plan from the previous owner. For about $1 of his usage quota, the AI converted the drawing into 3D, changed the room he wanted to redo, made a few visual options, built a shopping list from his local store with budgets, and put it all on a local web page. He says the same job done the normal way would take a package of apps, trained people and at least $10,000.
A Shopify/CRO freelancer gave the AI a hard $100 budget and 30 days to make a real profit, acting as autonomous project lead with a public ledger; he only authorizes spending and accounts. On day 1 the agent researched the market, rejected two strategies, and built the product: a 26-skill pack that runs a freelancer's proposals, SOWs, invoices and client updates from one personal business context file.
He finally connected the AI to his Home Assistant setup and spent the day changing all of his automations. The AI also made an overview of how many cups of coffee they brew, which he called totally useless but fun.
A mathematician with more than a dozen finished but never submitted papers pulled out four of them and shared them with AI. The AI caught errors, built a spreadsheet comparing his new concepts against related papers, converted plain TeX to LaTeX, wrote abstracts he adopted almost word for word, and fixed bibliography entries unprompted. All four papers improved to the point where he submitted them.
Engadget reporter Karissa Bell spent a few days testing the AI (naming her agent 'boo') after connecting it to her Meta accounts. As one of her first tasks she had it mine her large backlog of saved Instagram and Facebook posts for recipe videos and posts, returning an organized list grouped by type with ingredients, steps, and links back to each original post — a searchable personal recipe book.
A smart home user had the AI create a vector floorplan of his house, then write a small tool where he could drag icons for his lights and fans into place. He set it up in Home Assistant so he can click a device on the floorplan to turn it on or off.
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.