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.
Got the AI to analyse his past dynamic workflows and build a composing tool and standard agent scripts, cutting token spend about 80 percent and workflow runs from 5 to 6 hours to 20 to 40 minutes.
A man told Android the AI to add etouffe to his shopping list. The AI added the word toothache to the list instead.
Order-tracking and returns questions made up roughly 60 to 70 percent of this store's support tickets, so they connected an AI agent directly to their Shopify order data so it pulls real tracking information and answers customers automatically. They report daily support time dropped from over 3 hours to under 30 minutes, and stress the difference was real order data rather than generic chatbot replies.
He found the GPX file from his 2013 Mongol Rally, 437 kilobytes with 2,226 track points and 98 check in messages. After a flat map first to check the data, three rounds of prompting with AI turned it into an interactive 3D globe with every message pinned where it was sent and 99 photos placed along the 11,138 km route.
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.
Ben Parr had the AI book his mom's PODS moving container. The agent got it booked $576 under the quoted price, a straightforward moving-cost win.
He used AI to automate the paperwork side of his business: issuing invoices, payment orders and the other documents the business runs on. The work used to take a whole day. Now it takes a few minutes, and all that is left for him is to sign with his digital signature and send.
The musician creator recorded a 90 second experimental techno track and generated every shot of its music video locally on MiniMax H3 from a single year old Midjourney image. An Augmentor agent over MCP controlled ComfyUI for the generation, because the creator did not fully know ComfyUI, and the creator edited the result in DaVinci Resolve, building the story around an unexpected second character the AI produced.
Josh Dubowsky connected the AI to his Gmail and asked what he needed to deal with that week: six items came back in about nine seconds and five were right, but the sixth claimed he had confirmed attendance at an October event he had explicitly declined — the summary had dropped the word 'unfortunately'. Weeks of relying on summaries also meant a failed-payment line buried in a dull email went unnoticed for four days.
The AI wrote a spec, got it reviewed and built a v1 of a new feature for his meal-prep app before he got home from errands.
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.