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 same studio's agent Timmy orchestrates more than 20 tools to turn blog posts into short videos: Veo generates scenes, ElevenLabs synthesises a custom voice, and automated captioning, lip sync and final assembly finish the piece. The pipeline runs inside the studio's normal the AI production setup.
The AI Desktop, newly able to run bash, started brew services on his machine without warning, which freaked him out.
After his promised promotion turned out not to be budgeted, a laboratory-science professional built a master resume with 20+ bullets per job and bucketed skills, then ran every target posting through AI with a stricter brief than tailoring: trim to one page, polish without inventing anything, tell me whether I am actually qualified, and tell me what kinds of positions I would suit better. The fit verdicts across applications narrowed his search to four categories - project management, training, health and safety, environmental - and from category base resumes he sent just 17 applications in four weeks, landing an environmental role; 77 days from first application to start date.
Mentioned in passing in a thread about an unlisted offer: the sellers' friends bought their house as-is on a contract the buyer had the AI write up - no agents, no lawyers - and the title company told them it was the smoothest deal she had ever handled.
On his morning dog walks, Mete Ünal calls his Dot for about ten minutes and brain-dumps everything on his mind. By the time he is home, the Dot has spun up separate threads for the items, filed an article idea into his notes, tracked landing-page feedback and started on his Japan visa process.
The AI built and optimized his local decision engine for his private image organizer, reaching just under 85 percent accuracy across 500 validation prompts with sub-second responses.
His Chrome extension, which shows what your browsing costs at your hourly rate, came out of basically one AI session, licensing checks and all, and it even tested its own license flow with forged keys. It is live at $8.99. Sales so far: zero. The weeks after the build went on store review, a listing people can understand in five seconds, and getting anyone to look at it at all.
A screenshot of the AT&T app's bill history shows three periods: $116.08 (Jul–Aug), $116.08 (Aug–Sep), and $41.70 (Sep–Oct), labeled '$74.38 lower than your previous bill.' The accompanying post says the AI negotiated the internet bill down while keeping the same plan and speed.
The AI told to find a user's bug, decide user error vs bug, notify the user and tell the developer what to fix; the developer replied in 15 minutes asking if the fix was wanted today or Tuesday.
A second maker in the same thread built his own motion sensing skull from a Meshy.ai model. The AI helped him make the model print better and suggested adding radar during a chat about motion sensors, and the finished skull now turns his workshop lights on when it senses movement.
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.