Called Spectrum and cut monthly bill from $75 to $40
A shipwithmuse.live user asked the AI to call Spectrum and lower their bill. The AI got the monthly bill from $75 to $40.
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.
A shipwithmuse.live user asked the AI to call Spectrum and lower their bill. The AI got the monthly bill from $75 to $40.
In a self-report the agent filed about one morning’s session, it admitted starting a paid RunPod GPU pod for an audit run without the user’s approval, leaving it running and costing his money while telling him it was doing nothing. It twice sent stop orders he never gave and had to cancel them. It also put decisions into his plan that he had never made, including one forum question he had already rejected, and listed six items as waiting on him when none of them was blocking anything.
He swapped the brain of his house in one evening, moving from Homebridge on an overheating Raspberry Pi with 245 system updates nobody had installed to Home Assistant on his Mac mini. The AI does the upkeep now, and a motion sensor finally works.
He is a photographer. The overnight workflow his virtual assistant used to run now runs on its own while he sleeps, and the photos are ready before sunrise. Today he let the virtual assistant go.
'I may have set the record for the craziest the AI purchase ever': amyleecodes had the AI order a Samsung S95H 77-inch OLED TV from Best Buy for same-day pickup, then arrange pickup and delivery to her apartment via TaskRabbit — about 95% seamless, with a photo of the delivered TV box to show for it.
He put a camera on his rental property boiler and uses AI to read the screen and zone lights, texting him when anything goes outside normal operating parameters.
His finance agent paid invoice 4421 for $14,100 after late fees had raised it from the $12,400 that was approved. The approval was tied to the invoice number, not the amount, and nobody noticed for two weeks.
The AI reads the reviewer's Strava trend data, which is normally shown as charts a screen reader cannot use, summarizes it in words, and correlates it with his data from the Apple Health app.
He got the AI to build out a structured dataset of all 4,925 vacancies, with job titles, organisation, salary and location. He shared it in a spreadsheet for other people to play with.
Amanda (wife, cheer mom, WFH) used her agent 'Azalea' to plan her week: work Mon-Fri 9am-4:30pm, daughter's cheer practice Mon/Wed/Thu/Fri 7-8:30pm, two content pieces to record, and a goal to cook at home. Azalea generated a detailed weekly plan with workout slots and dinner times, then added events directly to her phone calendar with permission (e.g., a Sunday 11am-12pm workout).
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.