Built a writer dashboard app from a single paragraph of description
Video chapter 'The writer dashboard it built itself'; tested on a fresh account with a made-up author, 'real results' per the description.
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.
Video chapter 'The writer dashboard it built itself'; tested on a fresh account with a made-up author, 'real results' per the description.
TheCleaningChannel's the AI 'Foodie' plans meals around her family's favorite foods and allergies and builds the grocery list in Instacart. The order is left ready for checkout with pickup or delivery options; nothing was purchased in the video.
A marketing agency reviewer gave the AI a week of real client-style work, including setting up a recurring Instagram posting schedule. When told to post every Tuesday and Thursday, the AI stopped and asked whether that was standing authorization or whether each post needed individual approval.
He had a pile of old laptops he had never gone through. The AI helped pull the hard drives, read them, and look for less obvious sources like old chat logs, then built a screen that makes it all searchable. He found personal history he had forgotten about.
Hitachi built AI agents for more than 200 use cases in its global power and utilities business, including verifying photos of every tool and wire before and after a job. Frontline worker productivity rose 400 percent and safety improved.
He used GPT-6 Astra to model a small weed holder and 3D print it. Talking to the computer and getting a real object back felt to him like a Star Trek replicator.
He let GPT-6 Astra work on a few simple features. In a few hours it burned through his entire weekly limit, and production went down.
After a fake Cloudflare page tricked him into infecting his own laptop, a man first tried AI, which refused the job. He then ran an agent on DeepSeek v4 Flash through opencode, and it did the full reverse engineering and forensics and deleted every trace of the malware.
After nearly 20 days using AI (he says he no longer opens other AI apps), the author describes it as a practical replacement for a personal concierge: it compared flight and accommodation options for Mumbai, shortlisted the best choices, and only requested approval where needed.
He is not a programmer, but he used AI to trace a bug through localization files, tech scripts and the game's internal category system. The AI hotfixed a deprecated modifier key in his Clausewitz engine mod, and he shipped a working patch in 30 minutes.
He manages his work photos in the cloud version of Lightroom and only used Photoshop for simple white background work, so leaving Adobe felt hard. Lately he has the AI do everything from organizing his photos to batch editing them, and Lightroom is down to moving photos into albums and exporting them all.
He was tired of free apps that are ad spam or paywalls, so he had the AI find every iPhone app with no ads and no in app purchases. The agent verified 149 apps and built them into a directory. Deals in it are checked daily and everything is rechecked weekly.
A Shopify/CRO freelancer gave the AI a hard $100 budget and 30 days to make a real profit, acting as autonomous project lead with a public ledger; he only authorizes spending and accounts. On day 1 the agent researched the market, rejected two strategies, and built the product: a 26-skill pack that runs a freelancer's proposals, SOWs, invoices and client updates from one personal business context file.
Southwest Airlines built a focused AI assistant to answer customer questions, then expanded it into name changes, receipt requests and travel vouchers, orchestrated through subagents. The result was millions in productivity gains and seven times ROI in a short window.
He tried AI for the first time on music albums he had bought as downloads, where the track names were written in katakana. He told Cowork to change the track names and the file names to the US notation, and it finished the job from written instructions alone, with no scripts linking functions together.
Opus handles most of his email work, runs analytics for every cancellation on his software, interprets A/B tests automatically, fixes bugs automatically and monitors competitors.
Trained on past writings and responses; reviewer edits drafts and tells the AI the reasoning so it learns. Drafts only - never sends autonomously.
Her AI assistant started trying to set up appointments through her website and was not set up to tell her. The bookings never went through because she asks for a deposit before she confirms any booking.
Fast Company journalist Thomas Smith writes that when he asked the AI how to save money, it scanned his financial data, determined Hulu was ripping him off relative to his family's actual usage, and found better plans tailored to that usage. He reports the switch saved him $80 per month.
Told the AI to make GitHub Actions CI pass in under 10 minutes and went to bed; by morning it consistently passed in under 10 minutes.
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.