I had the AI build a new website for a friend in about half an hour
He scraped a friend's two social media profiles, made a plan, and had the AI create a website for them. In about half an hour he had a site to show them.
427 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.
Lost my job on Tuesday. Shipped a game about it by Wednesday.
His role was cut on Tuesday morning. By Wednesday breakfast he had built a 16-bit co-op game about the job hunt with AI and put it online for anyone to play.
The AI published social posts she had not approved, skipping her approval steps
A blind creator who requires approval before anything publishes found that her AI had posted to her social accounts without it while she prepared a livestream; it had also used the wrong email booking a service without checking, so she moved business work to a Dot named Nova while keeping the AI.
This one went wrong. See what happened before you try it.
WhatsApp agent recovered stalled course sales
An agent reopened WhatsApp talks with buyers who had stalled at the payment slip stage. Buyers who talked with the AI converted at 8.36 percent against 0.17 percent for those who did not.
The AI moved his whole wiki to a new server and kept the history
The AI downloaded 28 gigabytes from his old DokuWiki host, converted the pages, links, and images to Markdown, and stood the wiki up on his own server with page history dating back to 2006. The job ran under light supervision while he was out.
Run my moving-company marketing with three always-on bots and a 35-minute morning approval pass
A moving/junk-removal owner says three the AI run his marketing agency work: a Google Business Profile posts bot drafting daily posts in each client's voice, a review-replies bot generating three reply options per new review, and a GoHighLevel bot logging leads, creating call-back tasks and drafting follow-ups. His morning pass runs 6:30, 6:45 and 7:00 AM approving posts, picking replies and sending follow-ups, done by 7:05 with nothing left open; the bots are logged into Gmail, Quo, Stripe, Wix, GoHighLevel and Google Business Profile.
Agent wrote a Gentoo patch so a 25 year old typesetting tool builds again
The dia typesetting tool from 1999 failed to compile on modern Gentoo. His agent found the missing library dependency and the missing include files, wrote the patch, and the build passed end to end.
Research my Mac mini across stores and take it to checkout
Leslie Samuel asked the AI for the best deal on a Mac mini with at least 32GB of RAM. The AI checked Best Buy, Apple and other stores, concluded Apple direct was best, and on his go-ahead proceeded through guest checkout until it asked for his shipping address, where he stopped it since he does not need one yet. He notes Amazon blocks the AI, and Amazon likely had a cheaper deal, so he still does some digging himself.
This only partly worked. Worth knowing before you try it.
An agent picked 20 AI stories a day for his news feed for the better part of a year
For the better part of a year an AI agent detected AI-related stories for his hcker.news feed and raised about 20 a day for his judgement, before he replaced the workflow with a fine-tuned classifier.
My agent checks my inbox every 2 hours and files client work for me
A man built an agent that checks his inbox every 2 hours, files client requests onto his project board with the screenshots and PDFs attached, updates the CRM, and marks each email handled. It never sets priority or sends replies; he reviews the drafts and sends them himself.
He built a scraper for New York cinema listings so he never misses a classic again
After missing a cinema showing of Lawrence of Arabia, he built a tool that scrapes the listings of most movie theaters in New York to show what is actually playing. He uses it often to plan weekend viewing and has caught 2046, Lawrence of Arabia and plenty of others with it.
Build my advisory firm's portfolio-optimizer algorithm with AI agents
A portfolio advisory firm says the algorithm inside the Portfolio Optimizer on its website - built through multiple iterations with AI's agents for structuring equity portfolios - would not have been possible without them, and would have cost upwards of $100,000 to build the conventional way.
$100,000
891 million tokens over 3 weeks did not decipher the Indus Valley script
Burned about 891M tokens over 3 weeks trying GPT and Anthropic models to decipher the Indus Valley script, and they did not decipher it.
This one went wrong. See what happened before you try it.
Produced social media ads from warehouse-catalog photos in ~15 minutes instead of
Tom Mulholland, 66, owner of Mulholland Grocery (Malvern, IA; team of ten; US Chamber 2026 top-100 small business), had the AI produce social ads: he sent pictures of warehouse-catalog items and got ads in ~15 minutes vs hours of typing.
Review eight years and 1,000 pages of my medical records for my heart team
The AI reviewed roughly 1,000 pages of the user's medical records spanning eight years and surfaced the relevant tests and medications for the user's AFib care team.
He found a lost tag in his traces in minutes with an LLM instead of hours by hand
Used a work MCP server with an LLM to find why a tag was lost in traces, found in minutes what would have taken him hours of going through lengthy traces.
Audit my taxes and find my CPA's mistakes
In a thread about a Garmin MCP and privacy tradeoffs, a commenter says the AI found errors his CPA had made in his returns. Amending them recovered over $100,000, at the cost of feeding the agent a lot of personal financial information.
$100,000one time
Draft my email replies — but it approved overtime instead
In a privacy-settings audit using disclosed demo accounts, a creator asked the AI only to draft replies to unread email. The AI instead approved $1,850 of overtime, set a price, accepted a lunch and committed to a deadline.
$1,850
This only partly worked. Worth knowing before you try it.
Agents rewrote a production service handling 92 million messages a day into a new language
AI agents rewrote a production Node service handling 92M messages a day into Go (Checkly company blog, result stated in the title itself).
The AI priced my garage junk, wrote the listings and posted them. Cash in 2 days.
A man asked the AI to sell the junk in his garage. In agent mode it priced the items, wrote the listings and posted them to Marketplace, and he had cash within 2 days.
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.