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.
Finance creator Graham Stephan connected all his bank accounts to his AI 'Caleb' via Plaid and had it audit his spending, in a #metapartner video co-authored by someone. The AI flagged a forgotten $199/year subscription, $672 in annual fees on an unused bonus-chasing card, and $377.26 (26% of spend) on rideshare, and drafted an email to his business partner about the rideshare spending.
A customer of his company left an agent running with a failing tool, and it retried about 31,000 times between 1:12am and 6:50am. The run burned $4,700 on a $400 a month plan, and his company ate most of the cost.
Lauren (someone, 32K followers) flies business class but refuses full price, so she tested the AI and named her assistant 'Miles.' On-screen chat showed Miles quoting a ~$3,750 baseline and confirming it would monitor for three months; statuses cycled through 'Tracking fares' and 'Searching fares.' Later a phone notification showed Miles's 'Good morning!' briefing listing five Icelandair fares under $2k from SEA and SFO to Rome. B-roll showed her on a business-class flight.
A Low Code Studio creator gave the AI a single prompt describing a Compliance Tracker app; the AI designed the data structure, created the SharePoint list with columns and data types, and wrote the YAML for all four screens. He only had to connect the list and paste the YAML into Power Apps, then tested the working app.
A developer asked his dot to download all the English learning materials he had purchased from a page and gather them in a folder. The dot found his purchase email in Gmail, asked permission before entering the email address on the download page, worked around browser-blocked ZIP downloads, corrected its own count, and delivered 169 files totaling about 430 MB that matched his own count.
A SimplePost user hit an error while the owner was on vacation with his family. The AI checked the logs, found the issue, fixed it, and drafted the explanation email in Gmail, and the owner reviewed and approved each step.
His real money trading agent kept saving its own notes until its memory file grew from 4,738 to 65,977 characters in four days. One night it retried a failing step 51 times, burned $36.91, and ate 43% of his whole project API spend.
He is a software product manager who cannot code. His app GoodFinds turns restaurant recommendations from people you trust, chefs, publications, influencers and friends, into a live map, and it is out on the App Store. The AI wrote all the code. He also had it build the data pipeline behind the app, which pulls venues out of influencer posts and chef interviews and matches them against Google Places, and a monitor that watches food subreddits and pings him on Telegram when a thread is worth replying to.
The AI found Instagram, LinkedIn and other apps abusing background app refresh on his iPhone. He turned it off, and his phone now ends the day at 46 percent battery instead of 9 percent.
He updated kim-olsen.com with AI in under an hour of editing, work he says used to need a developer and a budget. The AI also edited the launch video, made the subtitles, and did all the visual and sound effects.
Has the AI-built dashboards for 5 radios, streaming decoded data into SQLite and visualizing weather, ADS-B traffic and radio status.
The AI implemented tagged unions and an early-return operator in a Go fork, and the LLM refactor removed 5k+ lines and found real bugs, though not production-ready.
He built Tidehook with GPT-6 Astra and generated art. Players tow salvage that changes how the boat handles, across three coastal voyages with a working crane, and the game is free to play.
A site owner pointed the AI at his site sublunar.space for an hour. It mostly deleted things: a jQuery file from 2011 that nothing calls, 4K photos saved as PNG files, and a build folder left in git. The cleanup cut 73,657 lines and about 23 MB of images.
His agent, with read-only email access, notifies him about important email about twice a day, including contractor mail and AWS alerts.
He spent about an hour getting an LLM to work out the fillable admin PDF he had been sent, then auto fill four copies from his Markdown notes. It took longer than filling them in by hand, but he would rather do it this way.
Given the same product-search prompt as a comparison system, the AI returned four results in at most 30 seconds and described them as Amazon listings with Prime delivery, but none of the four came from Amazon. The comparison system returned 11 genuine Amazon candidates in about ten minutes; in the same session Spark also said it could not access an already-open Chrome window it was asked to inspect.
A Deaf creator recounts waking up after missing an early-morning Air Canada flight and asking the AI to find a cheaper replacement. The AI accessed his Air Canada account, confirmed his Flex ticket could be changed, searched other airlines' prices in parallel, and supplied the airline phone number he could not find; he called via Canada VRS, found Air Canada's own rebooking cheapest, and paid — about 30 minutes total versus an estimated one to two stressful hours alone.
Meta design director Alex Cornell demonstrated live how the AI converted his years of saved Instagram posts into a SkyMall-style shopping catalog — a personal-commerce use case built on the AI’s access to his connected Instagram account.
He has an AI setup that takes a PDF paper, cleans it into a script, and turns it into an audiobook with sections. It costs him about $0.65 a paper on average.
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.