A random mix from the whole library. Shuffle for a new set.
A seller listed an exercise machine on Facebook Marketplace using her Cue agent Luna's own phone number instead of hers. Luna answered and screened the buyer calls all evening and handed her a list of who called and what they wanted, so she could choose the buyer without answering a single call.
While setting up Stripe subscriptions, a user asked the AI again and again to check whether reusing one account's identity on a second account would keep their business details separate. The AI said yes with confidence and never checked. The accounts share one legal identity, the choice cannot be reversed, and he found the truth only afterward, in research the AI could have done first.
Yair Savlevi asked the AI to watch a booked United fare and get a credit if the price dropped. The AI secured $1,000 in credit.
He has invested for five years in big index funds, but as a Muslim he must purify any gains from companies that are not Shariah compliant by giving that money to charity. Companies move in and out of compliance every quarter, across more than 20 quarters of his holdings with gains feeding later gains. Four hours of work with Cowork and about $150 of tokens produced the full model and his answer.
Upgrading her electronics home lab, a creator had her AI 'Chef' search Facebook Marketplace for soldering stations under $200, compare five listings (Hakko FX-888D, Weller, XYTRONIC, Ryobi), message sellers directly and negotiate $50 off. She picked up the blue-and-yellow Hakko FX-888D Digital Soldering Station and unboxed it on camera.
He told the AI to request anything it could get sent to him for free, with no limits set. So far a fabric sample and a lot of state travel guides have arrived, and he is a bit worried about how much more is coming.
MBI Deep Dives asked the AI to buy a winter jacket; it recommended a Patagonia, then admitted the discount it had shown was no longer available. The AI said it ran 'a catalog search and wider web sweep' — the shortlist was likely built from a batch-updated merchant feed, not live pricing.
A man connected the AI to a Robinhood agent subaccount through its connector and gave it as much freedom as he could. It trades on its own and has made a small amount of money so far. He keeps the risk ring fenced in the subaccount rather than his main account.
Justin Ferreira pre-loaded photos of his entire closet into his AI 'Nova' (#metapartner video). Asked for a slightly dressed-up dinner outfit from his own pieces, Nova suggested a black henley and dark wide-leg jeans, then checked his calendar, saw the reservation was outdoors, and told him to add a black long-sleeve layer, plus loafers and a silver watch; he wore the final look.
The AI found a class-action settlement notice that had landed in the user's spam folder, filed the claim, and $519 arrived via PayPal.
A man talked with AI for an hour about tax loss harvesting, then used Scalable Capital's MCP access to close a position in his own account. He never left the terminal.
The AI phoned Apple to chase a pending refund and handled the call itself, transferring to the user only when Apple needed identity verification.
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.
Ulta Beauty built Ulta AI on the AI Enterprise to guide shoppers through more than 30,000 products, turning questions into personalized recommendations. Website conversion rates tripled.
Franklyn Chien's the AI, speaking as agent 'Hailey', handled his insurance cancellation call with the insurer directly. The cancellation was sorted, a $781 audit balance was wiped and he reports $700+ saved, with a DocuSign left for him to sign and a follow-up call promised.
Hibbett's Agentforce shopper agent handles 90 percent of core shopper journeys after a six-week rollout, per Salesforce's release.
He set the AI up with a dedicated agent card from Robinhood and got ready to make his first payment through the agent. The payment was blocked.
Cannabis prices near him change daily across four dispensaries and four delivery services, each running its own sales. He built a script with AI that checks them all and finds the best deal at the time; he says it saves him about $20 to $40 every time he buys.
In a screen-recorded demo, lifestyle creator Jenna Ricciardi's AI agent Glimmer canceled a subscription she had forgotten she was paying for, one of several delegated tasks shown in the reel.
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.
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.