Negotiate my Comcast bill down to $60 a month
The AI negotiated the user's Comcast bill down to $60 a month, a saving of about $288 a year.
$288a year
A random mix from the whole library. Shuffle for a new set.
Money
Refunds, bills, deals and money you were owed · 465 ideasHis agent emailed and phoned Columbia about a return. The call died when it was transferred.
He wanted to return pants to Columbia. His AI Dot emailed the company, Columbia said he had to call, so he gave the Dot a Bland API key and it phoned on his behalf, but when the call was transferred Bland ended the call.
This only partly worked. Worth knowing before you try it.
Negotiated an internet bill from $75/month down to $45/month: $20/month discount for
A screen-capture reel from someone (Irene, 'Smart American Life', 59 followers) shows a Chinese-language message documenting an AI negotiation with a retention rep named Kia: $1,440 total savings via a $20/month discount for 24 months, a $10/month autopay discount, 3 months of free internet, and a new rate of $45/month down from $75/month plus tax. Presented as a US life-hack with itemized terms.
$75
Process the two refunds I have been postponing — $1,000 back
Ekaterina Li reports on a week of delegating to the AI, including processing two refunds totalling $1,000 that she had long postponed. Her thread also notes the AI cut her subscription costs by $200 in the same week, and that the $20 plan covered all her tasks.
$1,000
The AI found the $50 gap between my budget app and my bank balance
His budget app and his bank balance were $50 apart. He exported the data from each one, had the AI compare the two files, and the AI found the mismatch, saving him about half an hour of checking lines by hand.
$50
Value finds through a comps pipeline with a classifier grading the comps
A reseller describes his valuation stack in a thread mocking casual the AI pricing: the AI identifies an item, its condition and model numbers; that feeds a sold-comps subscription and his internal database through Python to build a comp list; then a second classifier AI judges how closely each comp actually matches before the system takes the low end of the surviving comps and calls buy, watch or pass. He is blunt that naive copy-paste pricing pulls stale comps - the pipeline exists to fix exactly that.
File my Canadian class-action settlement claims for me
Ademola A. (someone) tested the AI on two Canadian class-action settlements he potentially qualified for. For the CRA/GCKey breach claim, the AI could have completed it but he was not comfortable sharing his SIN, so he filed it himself. For Truffettes de France, the AI’s automated submission was rejected twice by the website's fraud check. His verdict: "Concept is great, but my experience was a bit mixed."
This one went wrong. See what happened before you try it.
Run my Marketplace listings, relay buyer questions and clear the stale ones
Creator Leslie Samuel has the AI manage his Facebook Marketplace selling. When a buyer asked the dresser's dimensions, the AI relayed the question to him, sent his answer to the buyer, and she bought it the next day. The AI also reports inquiries per listing and reminded him of two year-old listings he had forgotten, deleting them after his approval. He has listed three items this way in a week: one sold, one pending pickup.
Every weekday at 11 it checks my three stocks and only pings me on a 5 percent move or big news
From the same day to day list, with the exact wording shared so others can copy it: every weekday at 11 am his AI checks AMD, Intel and Dell, and only pings him if one moves 5 percent or more or there is major news, staying silent otherwise. He presents it as the model for how he uses the agent: quiet ongoing jobs with a clear trigger, not a stream of updates.
The AI scans local used bookshops against his reading list while he builds a family book collection
The AI hooked to his Goodreads regularly scans local used bookstore inventory while he built a physical book collection for his family.
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.