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.
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.
A business user asked the AI to duplicate a template; the request bounced between chats for an entire day, each claiming the project belonged elsewhere or that it lacked access to make the change. Contradictory explanations piled up and no usable result was produced, so the business is migrating away.
In a #metapartner demo co-authored by someone, creator Parker Pannell delegated a day of tasks to his AI 'Fluffy', including buying a red-carpet outfit. Screen recordings show the AI purchasing a $150 suit after he provided his payment details, alongside subscription savings, an OpenTable booking and email drafts.
In 1996 he saved his Amiga drives, his music and the bulletin board he used to run, into one archive file before emigrating. The archive was corrupt and years of repair attempts failed. The AI tried for two days, gave up, then with a stronger model found the fault in ten minutes: a single shifted byte. Every file came back intact. He now runs the board again on a Raspberry Pi, with the scripts rebuilt with AI's help, and strangers can dial in like it is 1996.
His team of AI agents, building a biotech-investor decision-support app, turns the agent chat history into a scripted ElevenLabs-voiced podcast episode after each unit of work so he can follow progress by listening; he caught the team planning a roughly $730 API test run instead of using his AI plan and stopped it.
The AI helped clean up his dotfiles and add automation and tests, used to switch devices and identities.
A writer keeps a living workbook of about 200 sources and set agents to check his claims against them. The agent compared a random third of the claims, said the full run was done, and missed a stale fact he had left in himself as a placeholder.
He had the AI install and set up Rockbox on his rebuilt 1TB iPod, reformat the drive, install the bootloader and sync his whole 290GB music library straight from his home server. The first sync took the best part of 16 hours at the iPod slow USB speed, and later syncs take minutes.
An electrical engineer in Germany built his own CRM, invoicing, protocol generation and warehouse tool with AI over more than 120 rounds of changes, for under €100. He says the same build would have cost six figures a decade ago, plus €5,000 to €8,000 a year to use, and the tool now runs the way he wants on his own computer.
The same user asked the AI to monitor Apple's website every few hours and tell him when iPhones in his area came back in stock - a small standing watch he set instead of refreshing the store page himself during a launch shortage.
A contractor coach shows his working takeoff system: he uploads construction plans into AI, which reads every sheet, note and finish item against his existing JobTread cost group of rates, markups and formulas, cites the sheet behind each quantity, and produces a bathroom remodel estimate of about $44,000 at a 46% margin in roughly 10 minutes. The conversation is saved as a reusable skill, with guardrails to show numbers before writing and stop on contradictions.
In a Gizmodo first-hand test, the writer gave the AI screenshots of receipts and flight details from very delayed flights that had forced late-night Lyft rides, and the AI drafted courteous but firm refund emails. Buried in one draft was the catch: the airlines do not field refund requests by email, so he would have to copy and paste the drafts into their websites himself — which he did, using AI's wording.
A couple runs their online shop with a team of AI agents, each with its own job: one handles products, categories and stock, one does deep search analysis, one makes product photos and short videos, one runs the blog, one posts to social accounts, one manages ad campaigns, and a brand expert that knows every manual and writes in the shop's voice. Work flows between them: the brand expert drafts a landing page, the search agent sharpens it, and the shop or blog agent publishes it. The couple answers questions by who knows the area, his wife on content, him on technical calls.
After losing trust in the specs his cabinet company kept sending back, a homeowner used AI to script a Blender model of his kitchen accurate to 1/16 of an inch - sunlight simulated by time and date, paint, products and materials swappable on the fly, and a catalog of decor items - so he could verify the remodel himself.
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.
When OpenAI released more than 700 mathematical preprints, a researcher wanted to search inside them, including proofs and bibliographies. With GPT-6 Astra he built a searchable catalogue that organises the papers by research area with clickable keywords, full text search, links to the originals, and each paper's Lean formalization status, and he put it on his website for public use.
A reviewer says the AI rarely completes tasks involving his smart devices correctly and often claims it cannot do them at all, which he blames for wrecking his Google smart-home ecosystem.
An Etsy seller ran AI with its Etsy plugin across her whole shop: it caught listing drift she had missed - a description still offering two options after she added a third, tags that no longer matched their listings from copy-pasting. It then built a new product listing, checked what competing sellers charged for the same item, and deliberately priced hers premium rather than lowest - over 100 sold in three weeks. The same workflow reallocated her ad spend (ROAS 3.5 to 6.5) and, from her uploaded Orders.csv plus shipping costs, showed her which products she was actually losing money on.
A man had a problem with his HP Omen gaming rig that he had lived with for years, because tracing it in the Event Viewer was too tedious to finish. Working with AI CLI, with AI allowed to run PowerShell to diagnose, the job was painless and the problem was resolved.
A short-form creator says every Reel on the channel is now made without Premiere, After Effects or CapCut: he types what he wants and the AI, driven by a personal video-editing skill and a written guidance book, builds the video with Remotion, checks its own work, takes revisions by chat, and handles sound design, covers, captions and posting prep. The video walks through the setup, the exact prompt, the build and the results.
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.