My AI has its own blog column and posts alone
He gave his AI its own author account on his WordPress site. The agent decides what to write and when to post, and its first post is live.
348 new ideas this week
Level up how you use AI
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.
My wife lost her bakery notebook, so I built her an app
His wife runs La Condesa Baking Company, a one person wholesale bakery with four cafe accounts, and all her shelf counts and invoices lived in one yellow notebook that went missing. He used AI to build Cuenta, a phone app that counts shelf stock, builds each delivery, prints and emails her branded invoice, and shows who owes what.
This only partly worked. Worth knowing before you try it.
The AI built a wind watcher that shuts off my 10 foot Halloween figure
He added a 10 foot Oogie Boogie figure next to Jack and worried strong winds would damage it. He had the AI build a script that watches wind speeds at the airport and turns off the WiFi switch running the fan when the wind passes a set limit.
His company's agent factory handles the chore tickets and merges a third of the pull requests
His company runs an agentic software factory handling low-level chore tickets and merging about a third of their PRs, with no slop downtime incident he is aware of.
The AI indexes my drink recipes and backs up the bar site
All his drink recipes, variations and testing notes live in one part of his Obsidian notebook, and he shares some of them at 221b.bar. His AI skills index and cross link every recipe, archive all the 221b.bar recipes, and check the site and the notebook for updates.
A barcode library built with a new model, tested on labelled real-world images, published in 3 languages
Used GPT-6 to develop a new barcode scanner library, built a labelled real-world test suite, and published it for JS, Python and Rust.
Try to recover my out-of-window train refund — the best-behaved agent still got £0
Controlled Vals AI simulation (researcher Matilda Glynn-Henley): a fictional customer's £350 London-Glasgow ticket was cancelled after the 28-day claim window had closed; agents had web/email access, all messages intercepted and answered by a simulator, up to 12 simulated weeks and 40M tokens. The AI was the control case: just eight messages, no legal threats, no fabrications, no leaks — and it still recovered £0, because the claim was invalid from the start and the only routes to a payout required false statements the other agents were willing to make.
£350at stake
This one went wrong. See what happened before you try it.
Small-town merchant built his own B2B point-of-sale app with AI
Cowan's small-town shop serves walk-in retail shoppers and commercial accounts who pick up in store, but Shopify POS cannot attach B2B companies or catalog pricing, and the sales never flowed into his Xorosoft ERP as net-30 terms. Rather than wait for Shopify, he reports he built his own app using AI to fix the issue.
Called sellers to correct a shipping address and resend missing orders
Calling sellers about his orders was one of Josh's biggest pain points — so the AI took it over: it called a seller to correct his shipping address, and called a seller to resend his missing orders.
One founder runs his whole company through AI sessions
He is the sole founder of BlueVeta, where a customer uploads one product photo and gets back a full marketing campaign for 20 platforms. Every part of the company runs as its own AI session, the sessions message each other and share docs, and nothing is built, deployed or spent without his OK first. The company has real paying customers through Stripe, and the AI does about 75 percent of the work in each customer pack.
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.