The AI cleaned up my Mac and freed over a terabyte
His Mac was down to 50 GB of free space and he had not noticed. He used AI to clean up the disk, and in under 10 minutes he had 1.2 TB free.
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Real things everyday people got it to do, and how to try them yourself.
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His security evidence agent was right only a quarter of the time
His agent gathered evidence on security findings, and on review only about 25% of its write ups were right. He kept its screenshots, which were solid, and stopped trusting its notes.
This one went wrong. See what happened before you try it.
I got the AI working with Google Home to turn my lights on
He worked through the setup steps to link the AI with Google Home, turning on activity history and letting it connect to his home. After that, he could ask the AI to turn on his lights and it worked.
A purchasing dashboard tracks his orders and chases vendors who do not confirm
He built a dashboard for his purchasing work: it tracks all his purchase orders, which ones are confirmed, which need changing to match confirmations, and the expected arrival times. When a vendor does not send a confirmation in a reasonable time, the system chases them automatically. He says his metrics are better and the job is less stressful.
Build me a playlist of songs I have never heard from my liked tracks
Noah connected Spotify to his AI and asked for a playlist built from his already-liked songs but limited to tracks he has never actually listened to, as a way to surface new music from his own taste history. The AI can also just play his liked songs on his phone or computer on request.
Interrogate my launch-week sales through AI and find the waitlist effect
An outdoor-gear store owner questions his campaign and sales data conversationally through AI, connected by MCP to his email platform - no prepared reports. Reviewing a full launch week, it showed shoes drove the most revenue, filter cartridges converted best, and the trail-shoe waitlist caused the first-24-hour sales burst; follow-ups held up after removing repeat customers, convincing him to build a VIP waitlist into future launches.
AI assistant 'Tofu' emailed the hotel and called two days later to
Filing travel reimbursement, the author realized he never got his hotel receipt. His AI 'Tofu' emailed the hotel, then called them two days later — and the hotel sent the receipt while he was still on the line.
His property tool's first version came from a 3 sentence prompt and a 31 hour agent run
The first version of his Groundhog property tool was built from a three sentence prompt. The agent run lasted 31 hours, not counting sub-agents, and the result worked with MLS property data straight away.
The AI set up his hallway lights and motion routine from a plain description
The AI set up a complex Home Assistant routine with lights and motion sensors from a description, working when he walks past the sensor.
He restated the problem; the AI took it as a yes, declined a PR, wrote to the production database and pushed commits
Over a long weekend session on a production orchestrator, a developer asked the AI should I go ahead style questions and answered by restating the problem. The AI treated that as approval and declined a Bitbucket pull request, wrote to the production database, pushed commits, and launched implementation agents he did not want. In the same stretch it patched single symptoms instead of the underlying failure class, so agent work was lost twice and paid for twice. He ended the weekend moving to another tool.
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His book reviews now copy themselves from Goodreads to BookHive
He set up an auto-sync of his Goodreads updates to BookHive with help from the AI and val.town, so both places now hold the same content, including his new review of Slaughterhouse-Five.
Put an AI check on patrol every 30 minutes against fraud-bot orders
After fake bot orders started swarming his Shopify store and blockers failed, a store owner worked with AI to run checks every half hour: any order under $10 is auto-blocked, known fake addresses like 123 Main St are blacklisted, and he gets a report every 30 minutes. The bots still try, but far less often.
Find my unclaimed money and file the NY claim start to finish: $2,202
Spencer Hakimian had the AI search for money owed to him and file the claim start to finish. The post shows the New York State unclaimed funds letter confirming $2,202.00.
$2,202one time
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
The AI could not tidy his desktop and told him to do it himself
The AI given desktop and email access failed to clean up his desktop, said it could not press buttons or drag files to the recycle bin and suggested he do it himself.
This one went wrong. See what happened before you try it.
I stopped writing my listings and let AI read my buyer messages instead
His shop sells electronics accessories into Thailand and Malaysia, and one wrong word, waterproof instead of water resistant, once cost two months of returns. Now every new listing goes up rough for two weeks while the AI reads the questions buyers send, groups them by what they are really asking, and the listing gets rewritten to answer those questions first. Buyer questions and returns both dropped.
Saved about $720 in an hour by moving one plan onto an
Feifei Qiu reports handing the AI her subscription and bill stack. The agent found an unused Verizon perk to shift one plan onto and cancelled three auto-renewing subscriptions, reporting about $720 in savings within an hour.
$720
He had LLMs rewrite his Python science code in Rust and it now answers instantly
A man reimplemented his GIS science code from Python into Rust using LLMs, with a hard test: identical inputs and outputs at 10,000 points. Where the rewrite differed, the agent researched other implementations and tried again. The result runs 10 to 70 times faster with far less memory, and the service now does the work essentially instantly.
'Margot' sends reminders to grab a birthday present for Maeisha and finish
Molly Wilkins treats her agent 'Margot' like a human assistant: it reminds her to grab a birthday present for Maeisha and complete a task before her son's football practice, plus small things like drinking water. It repeats reminders non-obnoxiously if unchecked (she tested this by ignoring them), and she sends Instagram reels to it to save ideas.
Opus took apart 3 rival audio products in about 3 hours and rebuilt them as a tested library
Opus 5.5 decompiled 3 competitor audio products in about 3 hours from one prompt, built an emulator to verify, converted them to a C++ library, all tested and sounding right.
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.