Two days of planning bought a 2-hour build of a high-risk feature
Spent two days planning, then the LLM built a complex high-risk feature in under 2 hours, putting deployment at 4 days instead of about 4 weeks.
A random mix from the whole library. Shuffle for a new set.
Work
Jobs, side gigs and small business · 1,669 ideasHe built a full CRM and ERP for his wife's travel agency in Mexico
His wife runs a travel agency in Mexico and the work had outgrown spreadsheets. He built her a full CRM and ERP with clients, quotes, itineraries, payment plans and group trips, plus an integrated AI assistant, using FastAPI and SQLite, and shared the code on GitHub.
Made $350 selling a digital template pack that the AI drafted, illustrated and
Merphy made $350 from a digital template pack: The AI drafted the copy, generated the images and wrote the listing.
$350
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.
His team's test framework drives the product, has an LLM judge it, and files the issues
His team runs a fuzz framework that drives a Migration Assistant with Playwright, has an LLM judge results, and files issues back into their system.
He left the AI running during his waiter shift and came home to a finished show episode
A waiter who produces a small game show in his spare time left the AI running with his evening list before a nine hour shift. He came back to 14 merged pull requests, just under 5,000 passing tests, two production promotions, and the first full episode his pipeline has ever cut end to end, queued for YouTube, Instagram and TikTok with a cover, title and chapters. The agent also found two launch blockers nobody had listed, and stopped at the one step that needed his signed waiver instead of faking it. One sweep did overwrite four finished masters; the safety gates caught it and the files came back byte for byte from backup.
YouTube Support Agent Lifts Sentiment 11% During NFL Sunday Ticket Surge
During NFL Sunday Ticket surge demand, YouTube deployed an AI Enterprise agent built with Accenture. Customer sentiment rose 11 percent and average handle time fell 37 percent.
He sells accounting firms a fixed price tool that pulls invoices from the government system
His most successful product fetches invoices for accounting firms from the government system through its open APIs. Tools like it charge per client per month; he sells his for a fixed price with lifetime access and support. He says he built a working copy of a well established system in a week by himself with AI, and it makes him a profit.
Research my book's comps on Amazon
For his author test week, Christopher Kokoski pointed the AI at Amazon to research comparable titles (what is selling, cover styles, reviewer complaints). Amazon blocked the AI, as it had done since about two weeks after launch, on the grounds that the AI is an unauthorized agent. Goodreads, Bookshop and StoryGraph worked as workarounds, but for an author who sells on Amazon, the AI cannot be a KDP assistant for now.
This one went wrong. See what happened before you try it.
Runs the AI as an Instagram business sidekick: reads insights, publishes posts/reels, spies
An Instagram business operator uses AI as a sidekick: reading insights (reach, audience hours, why a reel flopped), publishing posts/reels/stories with drafted captions, competitive intelligence on rival accounts, scanning comments for discount-code/restock/shipping questions to hand over as warm leads, plus a scheduled daily report on what people say in the niche's comments.
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.