The AI and his own tool found 2 remote-code bugs and 5 root bugs across 3 phone brands
Used the AI with his own APK analysis tool to analyze phones from 3 brands and found 2 RCEs and 5 root bugs in a few days.
351 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.
Order my Chipotle pickup through DoorDash
In his day-one the AI impressions, the MBI Deep Dives author asked the AI to order a healthy Chipotle pickup, picked the chicken and black bean bowl from its suggestions, and was prompted for DoorDash credentials. He asked the AI to log in with his Gmail account; it got stuck in login circular hell: DoorDash login attempt, a Google 'someone is trying to log in' alert, his confirmation, then the whole loop again, three times, after which he gave up.
This one went wrong. See what happened before you try it.
His agent moved his whole system from Ubuntu to Omarchy in about an hour
He had his agent migrate his machine from Ubuntu to Omarchy with a backup taken first and a restore tested. The switch took about an hour, and he says he is not going back.
Someone's agent found over $1,500 owed to them and rechecks the claim every 5 days
A moderator shared another person's result: their AI searched for money owed to them and found over $1,500 in unclaimed funds across two states they used to live in. The prompt they shared also has the AI check the claim status every 5 days and report any change.
$1,500
Runs the AI as an Instagram business sidekick: reads insights, publishes posts/reels, spies
An Instagram business operator uses AI as a sidekick: reading insights (reach, audience hours, why a reel flopped), publishing posts/reels/stories with drafted captions, competitive intelligence on rival accounts, scanning comments for discount-code/restock/shipping questions to hand over as warm leads, plus a scheduled daily report on what people say in the niche's comments.
Opus decompiles Windows 95-era games to byte-exact source in about a week each
Uses Opus 5.5 to decompile Windows 95-98 games in about a week each, getting byte-to-byte exact output with clear names and no Ghidra smell.
My ticket tagging agent was 90 percent right and we still scrapped it after a month
He built a small agent to sort and tag his team's incoming support tickets. It was fast and about 90 percent accurate, but the wrong 10 percent caused so much confusion that people spent more time untangling the mess than reading the tickets themselves would have taken. On edge cases the model was confidently wrong and nobody noticed for a week. They scrapped it after a month and went back to tagging by hand.
This one went wrong. See what happened before you try it.
My AI built and published my site
For her Manuscriptions site, a hub for people who write about handwriting, letters and note taking, Eleanor Konik told the AI what she wanted and it wrote and designed the page in an illuminated manuscript style using her Substack colors, then handled the publishing through a Cloudflare key. Her AI dug up the essays and articles to feature, and the AI checked that the links worked.
Every Monday my agent scans my YouTube comments and drafts replies for me to approve
Every Monday the AI scans one of his YouTube channels for new comments and drafts replies to them. He reads the drafts, gives the go ahead, and the AI posts them with its browser. Nothing goes up without his review.
My AI assistant files notes and fixes links in my vault daily
He lets an AI assistant work in his notes vault every day. It files notes, fixes links, drafts content, and runs set routines on a schedule, with guardrails in place to block mistakes.
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.