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.
Creator asked the AI for a whole-food crockpot meal plan focused on protein and high fiber. It generated a one-trip grocery list organized by category, a 7-day plan (Chicken Taco Chili, Turkey White Bean Kale Soup, Beef Lentil Stew, Salsa Verde Chicken Quinoa Bowls), and compiled it into a printable PDF for the fridge.
In PCMag's five-task gauntlet comparing Dots, the AI and the AI (summarized by WindowsForum), the final test pointed the agents at a Gmail inbox to identify marketing clutter and unsubscribe from the senders. The AI identified the emails but failed to launch its browser to actually follow through on external unsubscribe links when required, leaving the execution undone; Dots, by contrast, catalogued 700+ senders and clicked through unsubscribe pages.
Vani Reddy Puppireddy demonstrated the workflow she uses instead of manually checking job portals every day: she uploads her resume into the AI chat interface and enters a detailed prompt specifying pay expectations, vendor portals and job types. Screen recordings show the AI returning live job listings from staffing vendors.
AI agent Rosey in a family iMessage chat does meal planning and Walmart grocery shopping via BrowserMCP.
He had spent five months trying to get a refund from a Chinese peptide website, and his own reports to the seller never went through. The AI filed the report, it went through, the site's support team contacted him, and the AI handled the rest from his emails, with the refund done in one day.
AI agents helped him win a Kaggle silver medal, alongside ways the agents failed him (result stated in the post title itself).
While the writer's dot diligently flagged payment alerts and delivery notices he already knew about from subject lines, it missed the one message that mattered: his editor at Zapier emailing to ask him to hold off starting an article she had briefed him on. Had he started the work, the missed flag would have wasted real effort.
He asked the AI to go through all of his saved Instagram videos and create a recipe book from the recipes in them. The AI built him a recipe app holding the recipes. It also tagged the videos that did not have full ingredients or instructions available, so he knows which ones are incomplete.
The AI and the AI ran an entire short-video pipeline from script and narration to images, animation, edit, QA and upload, with the author only reviewing.
He built a personal fitness display, a website to manage his training plan, and an MCP link that lets the AI control it all. The AI adjusts the plan around his races and the weather.
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.