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.
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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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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.