He fills his grocery cart through AI after reverse engineering the supermarket's API
Reverse engineered his supermarket API and made a custom MCP to automate grocery shopping; now fills his cart through AI.
348 new ideas this week
Level up how you use AI
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.
The AI hunted my protein powder deal and vetted sellers I had never heard of
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.
This only partly worked. Worth knowing before you try it.
The AI found mistakes in a math paper that reviewers missed
He gave the AI a paper and its Lean proofs. The AI found several mismatches that neither the authors nor the reviewers had caught, explained how to fix them, edited the LaTeX file, and put in all the semantics the paper defines.
Negotiated with a local artisan for a ceramic piece
New York Times journalist Eli Tan (who nicknamed his AI 'Wren') asked the AI to sort his emails, assemble his fantasy football team, and 'fiercely negotiate for a ceramic piece with a local artisan.' He called it 'the most useful app [he's] ever used.'
Got a $2,000 flight-disruption reimbursement after ~30 seconds of setup; the AI handled
Dave Y. Kim reported spending about 30 seconds on the AI to start a flight-disruption reimbursement that played out over several days and returned $2,000.
$2,000
I had my agent read its own usage bill, set five rules, and cut its token use by about a fifth
He exported 10 hours of his AI usage (8,915 model calls, about 1.15 billion tokens) and had the bot study it. Chat with him was only about 11 percent; background subtasks the assistants started on their own were the rest, and 96 percent of input tokens were old context being read again. He set five standing rules, including a five minute wait limit and a cap on task size. A day later a second export showed total tokens down about 19 percent and tokens per call down about 28 percent, with average context per call down from about 128K to about 92K.
A caregiver built a million word neurology course that teaches doctors about a condition patients keep getting dismissed for
He is a caregiver, not a doctor, who has the free time to read the research. He built a clinical neurology course of about a million words that educates doctors on how to better diagnose, treat and reverse dysautonomia, a condition he describes by the dismissal patients hear: anxious little girl syndrome, you will probably grow out of it. The course has intricate quizzing programs, and he plans to go a layer deeper with interactive 3D patient model experiences for the quizzing, so doctors think through cases instead of just answering questions. He calls it his proudest thing.
My daughter talked to the AI to make her own game. It now lives on our Raspberry Pi.
He let his daughter chat out loud with AI to make a game, and the AI gave her small kid sized coding lessons along the way. They put the game on his Raspberry Pi box with an Arduino joystick, so she can play it whenever she wants.
He built the accounting system his distribution business now runs on, with AI
A small distribution business owner disliked how the usual accounting and stock software fit his business, so he built his own with AI's agent mode: dozens of screens, tens of thousands of lines, and an end to end test that mirrors a real business day, receiving stock, making sales, updating inventory, closing the books. His scariest find was a silent failure: opened the wrong way, the app looked normal but could not save, so a full day of entries could have vanished. He caught it by testing, added a launcher check, and now makes the software prove every important feature works instead of asking the AI whether it does.
It stayed on the phone with AT&T for 98 minutes across transfers and got me a discount
Another user describes the AI’s phone work. It called AT&T and argued for a discount because his service is poor where he lives, staying on the phone with real people across multiple transfers and departments for 98 minutes, and got the discount. The amount is not stated. His other two cases from the same comment are recorded separately where they stand on their own.
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.