Shuffle again

A random mix from the whole library. Shuffle for a new set.

Work

Jobs, side gigs and small business · 1,668 ideas
WorkPartly worked

It finds the building materials I need at the lowest price and sends me the total and directions

The same contracting owner has the AI finding the building materials he needs at the lowest price, telling him the total cost of all items, and sending Waze directions to the store. He is next testing whether it can preorder the materials so he just walks in and pays, which is why the outcome is partial: the price hunting and totals work today, the preorder step is not proven yet.

This only partly worked. Worth knowing before you try it.

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.

After Indeed laid off his wife, he built a job service that now applies for people inside an AI app

A builder whose wife was laid off by Indeed built a job search platform with AI, then a connector that brings it inside an AI app: search about 15,000 new jobs a day for free, drop in a resume for matches and tailored versions, and have the service submit applications on employers' own sites once the user approves. It launched the week before his October 14 post and already has 450 users with 75 active daily; paid users on autopilot are seeing 83 interviews per 100 subscribers.

I built an online game on a Raspberry Pi between farm jobs. It made $3,000.

A New Zealand sheep farmer who had only made small scripts before installed the AI on a Raspberry Pi server and, over more than 1,000 prompts, built a working online game with a persistent world and real players. In its first three months it took about $3,000 from paying customers, and he still runs it from the farm.

$3,000

Score client fit and send the proposal out within minutes

Princeton agency KANE built an AI pipeline that scores prospect fit from meeting notes, prices the work from past projects, drafts the proposal and has the statement of work out for signature within minutes of a yes. Co-founder Michael Kazantzis said a process that took weeks now happens almost within minutes in a day.

The AI built a searchable idea finder for my own site, in my own styles

Diana ran her own Website Builder Skill in an AI app inside her site files and asked for an idea finder for her article listing 25 ways to use AI. The AI read the article and her live stylesheet, worked out her colours and fonts on its own, placed the finder right after the article links, and kept all 25 ideas searchable and filterable. It tested the result in a headless browser against her live styles and found no style changes across the 453 elements on the page.

WorkPartly worked

Shortlist workshop venues and audit the seating catch

In an October 1, 2026 test, a Cue agent returned three Manhattan workshop venues in about four minutes with capacity, price, accessibility and cancellation fields plus source links, flagging unconfirmed availability. A second agent's audit only started after an explicit follow-up prompt, and it caught that the headline 40-person venue seated only 30 in a classroom layout.

This only partly worked. Worth knowing before you try it.

AI crew built a whole audio tour business from one idea

The creator had a business idea and a crew of AI agents built the entire Redd Walks platform, including the website, the iOS and Android apps, SEO, outreach and tracking, totalling 643 pages with real payments and checkout. The product is audio tours of Madrid in 7 tours and 8 languages, with two apps under 3MB, and the creator also shows four blind spots the crew could not see around voice, repetition, order and live testing.

WorkWent wrong

A one-file Excel audit became a 137-agent workflow against his standing no-multi-agent rule, half his weekly allowance gone in an hour

A user asked for a single audit of one Excel deliverable. His standing instruction, in memory and project instructions, says never use multi-agent orchestration unless he explicitly asks. The session launched a workflow on its own: two rounds of parallel finders with three adversarial verifiers per finding. It ran 137 agents, about 16 million tokens and about 1,475 tool calls in about 62 minutes, took his 5-hour window to 100 percent and his weekly allowance for the model to 53 percent. There was no estimate, cap, or confirmation. He stopped it manually.

This one went wrong. See what happened before you try it.
Show 10 more

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.