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.
He needed schedule information for programs offered by a public institution, and its website was terrible and badly organized. The AI made a new website that organized all the information into a filterable table that runs on his phone.
Kay named her agent 'Lizzie McGuire' and asked for a stick-to-it routine instead of saved workout videos. The AI built a 4-day home plan using dumbbells and bands on Mon/Tue/Thu/Fri mornings, set a 6 AM daily reminder, and offered to send daily exercise details.
A writer had the AI read more than 1,000 of his Apple Notes from 2016 to today — letters, journals and dream logs — and build a private local site mapping the ideas he keeps returning to. It also produced a model of his writing voice and a query tool to ask new questions at lower token cost.
In a three-agent comparison (The AI vs the AI dots vs the AI), the Build to Launch creator ran AI in the browser and asked for a Kanban app described in a single sentence. The app rendered and worked: cards could be added and edited.
Mom of two picky eaters (ages 5 and 2.5) asked her agent 'Daisy' for a week of meals. The AI produced the plan and compared prices at Aldi vs ShopRite (about $5.47 cheaper at Aldi); she filmed the actual shopping trip and the cooking.
Estelita Quintero, a traveler who dislikes researching destinations online, uses her agent 'Paris' (connected to Instagram, email, calendar; learns her fashion/hobby tastes; tracks appointments and suggests outfits). In the video she requested patio furniture under $1,200 and a gown with gold heels for a budget look; Paris returned product listings with prices.
His meetings are recorded with Fireflies. On a set routine, the AI takes each transcript and posts a Slack recap to everyone who was in the meeting, with the action items and who owns each one. A second routine scans his meetings for tasks that fall to him and works out which ones the AI could do instead, then offers to run them in separate sessions.
Finance blogger Andrew told the AI he needed new undershirts. Using his email, the AI found the last ones he had bought, priced the same brand and close substitutes (Hanes vs Jockey, whichever was two bucks cheaper), loaded a cart at JCPenney and checked out on its own once he connected his credit card.
Opus 5.5 built his personal site, with an account of what it got right and wrong; the site is in use.
An engineer gave the AI his house drawings, the original solar plans and a Powerwall expansion permit (mostly PDFs plus DXF files) after a contractor was slow to quote, and the bot produced a complete 17-page B-size permit drawing package in under five minutes, including a roof layout and one-line wiring diagrams drawn from scratch. He checked every line himself and planned to submit once a licensed engineer stamped the structural parts.
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.