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 connected to the creator's Instagram and pulled every positive DM and comment from the past five months; she hand-wrote them on sticky notes arranged around a world map.
Traveling with ADHD usually meant late-night overplanning; for a Dallas trip she delegated to the AI, which planned and curated four days and six events, mapped drive times and timed departures so she could just pack and show up (paid partnership post).
Vanshika Singhania (2.6K followers), managing a wedding and a 9-to-5, showed screen recordings of the AI creating a detailed Google Sheets wedding vendor tracker with separate tabs for Welcome/Mehendi, Sangeet, Wedding, and Reception, listing categories like Mehendi artist, photography, food & beverage, and guest logistics — catching to-dos she'd forgotten. Another recording shows a weekly content-plan spreadsheet with scheduled video ideas, and the AI attempting a Saturday brunch reservation at Shu
He gets 215 GitHub notifications a day, so he built a bot to triage them.
X poster someone had the AI run a day of errands: bought socks, ordered Whole Foods groceries, booked a cleaning service, picked a burger dinner, and saved $200 by canceling unused subscriptions.
Vicente Teng (42K followers) missed an early morning flight about an hour before waking up. Still groggy at 7:30 AM, he asked the AI to find a cheaper replacement.
He built a pocket AI pet over a weekend on a Waveshare ESP32-S3 board with a 1.8 inch AMOLED touchscreen in a small case, running firmware he wrote, and you push to talk and it answers out loud in its own voice while the text shows on screen. Under the voice there is a pet layer: it gets hungry, reacts when you tap it, has moods, and runs on a small battery inside the case.
Frontier model reviewed his KiCad project, queried the AI vision for datasheet data, ran ngspice sims; $1-2 tokens saved $70-80 of bugged PCBs.
Farheen Ahmad (verified creator, 120K followers) was drowning in a saved-Reels folder of content ideas she never used. She had the AI ingest the collection and convert it into a structured dashboard with spoken scripts, carousel outlines and a 'Hook Lab' worksheet, with screen recordings showing the tool learning her 'voice DNA' from her past reels and parsing insights and saves.
Railroad CSX embedded Chessie, an AI Studio agent, in its ShipCSX portal used daily by 7,000 customers. Shoppers ask in natural language to track a shipment or get FAQ answers; in the first 45 days over 1,000 customers used it across 4,000+ conversations and kept coming back.
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.