A random mix from the whole library. Shuffle for a new set.
A screen recording shows a user asking the AI to review three months of bank statements across three connected accounts and say where the money goes. The AI reported $4,320/month average spending against $4,850 income, dining up 35% to $410/month, and three subscriptions totalling $47/month unused for 90 days, offering to cancel them.
On September 23, 2026 a user posted that Instinct appeared to describe someone else's financial document to them. Founder Noah Shinn responded the same day that the model had fabricated a proper noun — a hallucination, not a data breach — and that the team built a hallucination detection layer within 48 hours.
Martin Cox set up Shopify's shop.md in an AI app and told it the running shoe model he normally wears. The AI found the exact pair in his size on sale from the brand, built the cart and checked out with Shop Pay, all inside the chat.
Wesfarmers retail brands Kmart Australia and Officeworks deployed the AI Enterprise shopping agents. They report higher conversions and basket sizes, with growth up to three times.
After a Zapier writer connected his dot to his real Google account, it proactively flagged card payments that had bounced and suggested ways to fix them. He ended up having to cancel a card.
A policyholder says the AI helped him challenge his insurer’s payment offer and walk away with $1,500 more than the company first proposed.
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.
A materials scientist with a PhD and almost no coding background built and shipped a live stock portfolio tracker over about three months and 277 commits, pasting code blocks the AI gave him into a terminal and pasting the results back. The tracker is not about returns: it makes him write down why he bought a stock and what would prove him wrong, then pressure tests his reasoning and scores how well his past calls held up.
A man fought USAA for over a month over the right deductible for roofing damage. The AI read his insurance documents and helped him keep a running argument, and he won and saved $1,838.30.
A tattooed man in an industrial loft apartment demonstrates his AI 'Doug' handling household tasks: researching products, selecting a herringbone wool throw blanket from Simons, placing the order with his connected credit card, tracking shipping through connected Gmail, and agreeing to send daily status updates. He notes Doug only accesses explicitly connected apps (Gmail, Stripe, Instagram, Facebook, shared files).
Commenting on a money thread, he says the AI found him over $1,000 in states he used to live in, money he did not know about. On one claim the only thing he had to do was enter his social security number at that step. $600 showed up a few days later. For the other states, which need forms that were emailed to him, the AI built him a package and checklist to fill them out.
Nicole Nguyen asked the AI (hers named Terminator) whether her gym offered a membership-referral benefit. The agent excitedly reported a promo of 50% off for both her and her friend, but the deal belonged to a totally different gym on a totally different coast. Her caption for the episode: even cuddly AIs can make mistakes.
Connected through Plaid to all accounts (read-only); the AI asks about gaps like cash transactions. Replaced 25 years of manual monthly Excel statements.
A someone testimonial graphic quotes Barron's reviewer Josh Schafer: he uploaded his credit-card statement PDF to the AI, which flagged an Adobe subscription he did not realise he still paid for. Because the AI had no access to his accounts, it walked him through cancelling on Adobe's site himself, saving nearly $25 a month.
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.
The reviewer asks the AI to search his Amazon order history together with product descriptions to identify which charger he previously bought that has both AC outlets and retractable cables.
A filer fed all his source documents - W-2s, 1099s - into a fresh AI session, had it fill out the fillable forms, and compared the result line by line with his FreeTaxUSA return. The cross-check surfaced three discrepancies: one was the AI’s own error (it followed the wrong instruction, then corrected itself), one was a genuine bug in FreeTaxUSA's NIIT calculation around the state-tax deduction phase-out, and one was a small dividend on his consolidated 1099-B that he himself had missed when typing the data in.
One user listed what his AI did over a few weeks: filed his homestead exemption back to 2024 (about a $4,000 refund on the way plus roughly $2,000 a year), switched his car insurance to Progressive (about $1,500 a year), moved him to a cheaper power plan (about $800 a year), filed 20+ class-action claims for him and his wife (about $500 expected) and applied to 15+ jobs that led to interviews. He put the total at about $9,000, with forms prepared for his approval.
The same writer set the AI a daily price watch on a WWE Blu-ray. The AI checked listings each day and pointed him to a copy on eBay under $20 with free shipping, bundled with another disc he plans to sell on.
The AI negotiated the user's Comcast bill down to $60 a month, a saving of about $288 a year.
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.