Built a UGC-influencer campaign from scratch: monitored emails, replied to interested people,
The AI built a UGC-influencer campaign from scratch for JaeLuxe: monitored emails, replied to interested people, sent out contracts.
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 built a UGC-influencer campaign from scratch for JaeLuxe: monitored emails, replied to interested people, sent out contracts.
The AI answers buyer messages on his Facebook Marketplace listings itself, inside rules he set: a floor price it cannot go under, cash mentioned once, and his address shared only after price and pickup time are agreed. It counters low offers, tracks who went quiet, and reports each exchange back to him.
Rosey adds calendar events and reads credit card balances for budgeting.
Palona built Cali BBQ owner Shawn Walchef an AI phone agent from his own voice, sampled from his YouTube videos, and it now answers the restaurant's phone as him. On Father's Day it fielded 150 calls without any staff stepping away from service, and the restaurant posted its biggest sales day ever at $26,000, up 18 percent on the year before.
Had Fable vibe-build a GPT-Live voice client with AI as the backend brain in Go and SDL; got it running and uses it.
A dad of two under two steered the AI to build Forkcast, a weekly meal-planning and calorie-tracking web app, because existing apps plan only a day at a time. It generates his grocery list from the week's plan and imports recipes from photos and labels for his 90-day weight-loss challenge.
His AI watches prices on things he has bought. It flagged that two $67 Jos. A. Bank shirts from a recent order had dropped to $39.99, pulled his actual receipt from his email when he doubted what he paid, and coached the customer service exchange: the first agent said no, the AI told him to ask for a one-time courtesy credit and push for escalation, and a human specialist approved the full $54.02. Alert to refund took about half an hour.
His kids' school sends 4 to 5 messages a day through My Child At School, an app he calls a beta version of AOL Instant Messenger. He created an agent with AI that logs in to it and sends him and his wife a daily summary email.
Fable helped find and fix a Motor OS race he had debugged for 3 months; since July most roadmap items are fixed in about a week instead of 3 months supervised.
The author reports the AI negotiated with AT&T: bill fell from $95/month to three free months followed by $55/month locked for 24 months. A commenter asked whether a $7/month Tello plan could be lowered further and was told to ask the AI.
Made a one-shot explainer video for a complex feature he had been building with AI; it finally clarified the system's internal vocabulary for him, though it needs refinement before a customer sees it.
Austin Evans, a verified tech creator (510K followers), showed his AI 'Lotus' tracking when tickets go live for events such as the United States Grand Prix in Austin, alongside a Collectibles Tracker database and morning tech-news briefs. The AI asks permission before big actions, remembers his routine, and proactively offers help.
Finance creator Graham Stephan connected all his bank accounts to his AI 'Caleb' via Plaid and had it audit his spending, in a #metapartner video co-authored by someone. The AI flagged a forgotten $199/year subscription, $672 in annual fees on an unused bonus-chasing card, and $377.26 (26% of spend) on rideshare, and drafted an email to his business partner about the rideshare spending.
An LLM generated an entire compiler for his new language over 7 months of iterating and fixing, generating WASM runnable in a browser playground the LLM also built.
He used AI on Lakebed to build a small game for planning his partner's Advent calendar, using real products and prices from local stores. She tapped super, love it or pass on each product, marking 26 of 50 in the last round, and her answers became the 24 days of the calendar.
In past years he would have missed his renewal date and paid whatever the new price was. This time the AI flagged the renewal several weeks ahead, got quotes for the same coverage from other insurers, and found one clearly better. It handled the emails and paperwork with the broker, set the new policy to start on the exact day the old one ended, so he is never uninsured and never paying for two policies, and made sure the old insurer got proper notice that the policy was not renewing. His whole part was reading one summary and saying yes. The saving was over $700 a year.
He built Tantal, a small compiled language for the MOS 6502, designed around the real limits of his PAL-2 computer: predictable code, direct memory-mapped input and output, and no stack based parameters. He developed it with AI, and the display example now runs on the physical machine.
The AI reads analytics, Search Console and Partner Center twice a week and produces an actions report, plus a weekly strategy review that sets the next week's plan.
The AI wrote a deobfuscator and cracked keys for Sony camera firmware updates, and later cracked licensing checks via a test generator trick.
He bought a ratgdo control board for his garage door opener. The AI wrote and installed new firmware for it, and it can update the firmware too, so it now has full control of the opener, including the ability to disable the remotes.
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.