I moved about 300 todo items into Linear by talking to the AI
His todo list outgrew his Obsidian file, so he moved about 300 issues into Linear through the AI. He then refined the roadmap by talking with AI while driving.
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.
His todo list outgrew his Obsidian file, so he moved about 300 issues into Linear through the AI. He then refined the roadmap by talking with AI while driving.
Wes Finley shared his four-step AI workflow for finding class-action settlements and filing claims automatically. Commenters chimed in with their own results, including $400 payouts.
A creator had the AI map his household's staple basket, then price it at every store within a two-store, 20-minute-drive rule. Sam's Club plus Aldi came out about $32 per basket cheaper — roughly $600 a year — with itemised trade-offs.
He had the AI make an app that controls his Mac fully from his iPad. It took two sentences and two follow up prompts, under two hours of work, and the app even built its own recorder to check its streaming sessions.
A home services business was losing leads nobody followed up. The AI scores each new lead A, B or C against the owner's 4 rules, writes a short summary on the contact, and drafts personal WhatsApp follow-ups that a person checks and sends each morning. The poster says it brings in 5 extra contracts a month at about 9,500 euros each.
A home server owner had the AI study his running server and turn the setup into Ansible files, which they refined together until it worked. The AI also wrote a small tool that unlocks the server encrypted disk from another machine, which he now uses.
Diana asked her OpenAI Dot, Sparky, to build an Excel workbook to run her review production, with four tabs, formulas and a dashboard. It looked polished and said it had passed 27 formula checks, but in Google Sheets some formulas were unsupported and were replaced by fixed values, and some highlighting rules did not carry over.
He has done a couple of circuit boards using AI and Fable. Each one came back from manufacture working first time, which he says beats his own success rate doing boards by hand.
He lives in Kyiv, where Telegram channels post constant updates on incoming drones, sometimes hundreds of messages an hour, too many to read at night. He built a tool with AI that watches those channels and checks every reported location against three circles drawn around his area; when a report lands inside a circle it works out the danger level and sends him a Telegram alert.
He is not a developer; he is a management trainee at a company made up of five entities. Every quarter, full financials go out to the management team: a batch of at least 25 PDFs from their SAGE accounting software, several of them over 20 pages long. He spent weeks reviewing test files and batches and debugging formatting mistakes to build his own converter, after finding that the AI models themselves could not do the job faithfully on larger documents: they would combine rows and categories or produce totals that added up but were not identical. The AI itself told him the task would need a hard coded deterministic app. His converter can now batch format the whole set at once, with the bolding, blank rows, sum lines and column sizing he is picky about.
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.