A random mix from the whole library. Shuffle for a new set.
His open source agent wakes on its own every few hours and studies new tokens on the Base blockchain, checking each one at launch and again at 1, 6 and 24 hours. Of 1,045 new tokens with at least $1,000 of liquidity, only 12 still had it after 24 hours, and all 897 that launched on one exchange type were drained.
A small research outfit pointed the AI at the public 2024 Medicare provider files. It flagged one wound dressing code whose national billing jumped from about $23 million a year to $650 million in 2024, with one Florida supplier taking 62 percent of it, and a pattern of hundreds of family doctors each ordering ostomy supplies for about 175 patients across 40 states while only 15 colorectal surgeons appear in the same data. Some flagged companies have already been caught; others with the same shape are still billing, per the July 2026 enrolment file.
In another beta-user case from the same report, a user asked Qwen Go to check their Taobao order history for price protection. The agent reviewed orders against protection windows, current prices and the amounts actually paid, filed refund applications for the qualifying orders, and confirmed the refund amount and arrival time. The user reported receiving 52 yuan back.
Marshall Haas, a serial founder (140K followers; sold his last company for $52M), got early Meta access to the AI and set up an agent named 'Nova' with standing instructions to proactively handle his bills plus business and personal tasks. His caption: 'Meta gave me early access to someone AI...
With about 20 credit cards, she could never keep track of what each one earns. The AI built her two dashboards. The finance one shows every card with her own nicknames for them, all her bills with due dates, one tap mark paid buttons, live checking balances through Plaid, and her credit score tracked monthly. The spending one logs purchases she texts in, like a shop name and amount on a named card, sorts them into categories, and tells her if she picked the right card, since it knows her rewards, like 6% on groceries on one card and 5% on gas on another. It also sends a Sunday morning roundup of the week's bills, reminds her which card to use before she shops, and warns her about quarterly reward caps.
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.
He gave the AI an xpub for his crypto wallet. That is watch only access: The AI can see the public addresses but cannot move anything. The AI checks the blockchain every 30 minutes and pings him about any outgoing payment, so if his seed phrase were ever stolen he would know fast.
The AI reviews the user's Webull account daily on a read-only basis and checks each trade against the user's stated strategy, flagging drift without placing trades.
Tech creator Matt Robb gave the AI his Marketplace inbox, pickup address, and payment preferences for a keyboard sale. With 'Allow Always' enabled, the AI accepted a low offer, shared his address, and set up the pickup without checking first.
An unsolicited sales email landed in his inbox, and he let the AI run the reply exchange. After several emails back and forth, the seller sent an actual quotation.
Digbly treated its the AI avatar 'Amani' as a personal shopper for comics, controllers and games. The baseline-plus-deal-hunt prompt surfaced the Batman omnibus at $74.99 new and in stock — a hair under InStockTrades' $75 street price — and the tester bought it from CheapGraphicNovels on the AI’s recommendation.
Angus Hardy-Francis had the AI list six items on Facebook Marketplace in minutes. The agent priced from photos and created the listings.
The same walkthrough shows asking the AI to buy an item seen in saved Instagram Reels: it identified a Bambu Lab P2S 3D printer and compared its pricing against recommendations from other chats — saved-content to shoppable-item matching.
Joe Urbinati set his AI 'Greg' a goal of finding an extra $500/month, connecting his financial accounts via Plaid. Greg identified unused subscriptions and two cloud storage plans, which he cancelled; the largest item was idle cash that could earn about $300/month more in a higher-interest account, for a claimed total impact of about $6,000 a year.
Meta design director Alex Cornell demonstrated live how the AI converted his years of saved Instagram posts into a SkyMall-style shopping catalog — a personal-commerce use case built on the AI’s access to his connected Instagram account.
He had a Cerfa form to fill in so his training activity could be exempt from VAT. He says the AI filled it in all by itself.
The use-cases directory records someone having the AI monitor the Apple Store online and notify when an iPhone became available to pre-order — stock-watch automation for a launch.
Carlos Diaz, host of the Silicon Carne tech podcast, said on social media: 'I saved $2,300 this weekend, in just an hour and a half.' Connected to his bank accounts, the AI cancelled subscriptions he no longer used and recommended cheaper services.
His finance agent treated a payout marked pending reversal as settled money, and the month end payout totals were off by about $18,000 before finance caught it. The fix was to check the agent's numbers against the payment processor's own settlement file after every run.
In a thread about a Garmin MCP and privacy tradeoffs, a commenter says the AI found errors his CPA had made in his returns. Amending them recovered over $100,000, at the cost of feeding the agent a lot of personal financial information.
The author listed monthly bills (electricity, water, mobile, Netflix, forgotten subscriptions). The AI flagged duplicate subscriptions, recommended optimal credit cards for cashback including a new quarterly 5% reward, and helped cancel unused services.
Once the user's car was paid off, the AI re-shopped their insurance and moved them to a brokerage policy at $122 a month less.
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.
Derrick Ong Chin asked four agents to find the protein powder he buys often, Optimum Nutrition Gold Standard whey in Double Rich Chocolate, for under $0.90 an ounce. The AI searched Walmart, Target, GNC and Vitamin Shoppe, hit a bot challenge on Amazon and offered to let him clear it himself while it kept searching, and found a Vitamin Shoppe buy one get one 50 percent off deal at about $0.92 an ounce that still needed checking at checkout. When he asked, the AI also dug into two unknown sellers another agent had surfaced, found warning signs, and told him not to buy from either.
He withdrew from a university program inside the refund deadline but was still charged about $7,000, and months of his own emails went nowhere while the school kept adding charges and warning about collections. The AI logged into his university account, pulled the records showing when he withdrew and what he was enrolled in, found charges for later courses he never took, worked out who at the school could fix it, and sent them the evidence. The balance was removed.
One itemized line in Armand Ruiz's September 15 errands post credits the AI with recovering $836 of his unclaimed property during a background finance sweep. The sweep's $2,120.95 total is already recorded from press coverage; this record isolates the unclaimed-property component that coverage did not itemize.
After dry-running a personal-assistant the AI through August, its owner let it pay a real $3,731 bill that arrived by email; routines now watch his Gmail for invoices three times a day. The first live payment went through under the watch setup he had tested for a month.
Every week his agent scans every credit card, breaks spending down by family member, flags anything odd, and lists every charge from high to low. He says it catches things he could miss. A monthly version goes deeper, with year to date totals and his top 20 merchants. His transactions come through Plaid's read only connector.
Reece Rogers asked Toolie to check his subscriptions and cancel unnecessary ones. The Dot flagged his recurring TikTok Shop probiotic soda order as a cancellation candidate, asked permission to solve the site's puzzle CAPTCHA, failed, and told him to solve it himself.
A bearded creator (Medo, 6.1K followers) showed screenshots of the AI and a text conversation where he asked the agent to check his email for uncancelled subscriptions. The AI drafted a cancellation email, he tapped 'Yes, cancel it,' and two days later he received confirmation of a $24.99 refund.
Stanford EE student (310K followers, 'sage') documented upgrading her electronics lab by using AI (nicknamed 'Chef') to compare Facebook Marketplace listings under $200, identify a Hakko FX-888D in Los Angeles, message the seller directly, and negotiate the price down by $50. She picked up the boxed unit, unboxed it at her workbench, and thanked the AI on camera.
Built tooling so an LLM manages his investments long term: auto-deploys new cash by his priorities, implements tax-loss harvesting (GitHub investbot).
A man returned books that arrived late and Amazon said some were missing and tried to charge him $152.35 again. His agent, which he calls Henley, found the support chat link, waited in the queue for 10 minutes, talked to a human rep and kept pushing until the charge was cancelled.
He asked the AI to help build a script to collect a database of coffee shops in Mexico with the Google Maps Places API. The AI said the cost would fit in the free credits, he ran the script, and 48 hours later the bill was $1,310.05.
WIRED's Reece Rogers gave his Dot, Toolie, his doorframe dimensions and budget by voice. Toolie produced a detailed packet of couch options with prices, measurements, links and return policies, refined it to 10 sleeper-sofa picks scored on a rubric after style feedback, and agreed to monitor the pages and alert him if any went on sale.
While Julius was at the gym, his AI negotiated his Verizon bill from $296.71 to $246.77 a month. The $49.94 monthly cut totals $299.64 over the 6-month term.
Lee Seung-ho (someone) says the AI benchmarked four auto insurers from his uploaded coverage screenshots and personal details, verifying matching coverage (BI 100/300, PD 100, $1,000 deductibles). He switched from $1,200 per six months to a Progressive quote of $694.50 per six months.
The AI emailed the Aside app's support requesting a $20 refund and repeated the request every six hours until the refund was issued.
Last spring he gave an agent an API key with no cap on it. The agent got stuck in a loop, retrying a failing migration test with slightly different SQL each time, and burned through most of a month's budget in one night. Nothing malicious, just a loop with no exit. He now keeps a separate key per project, each with a hard monthly cap and a billing alert at 50 percent, and his project instructions say that if the same step fails twice, the agent stops and writes up what it tried.
He set up a monthly check for himself and his close family. The AI searches state unclaimed property sites and open class action settlements that fit the products and services they use. It found $250 from an old utility company in his name and $1,500 in his mom's name from an insurance company, and it found three class actions he could join and filled out the forms for him. It only pings him when something new shows up.
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.