The AI turns his research papers into audiobooks for $0.65 a paper
He has an AI setup that takes a PDF paper, cleans it into a script, and turns it into an audiobook with sections. It costs him about $0.65 a paper on average.
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 has an AI setup that takes a PDF paper, cleans it into a script, and turns it into an audiobook with sections. It costs him about $0.65 a paper on average.
He let Astra control his old OnePlus 3 over ADB. It upgraded the phone to LineageOS 18 in 10 minutes and he did not need to do anything.
A user runs AI model servers in Docker with an agent, under standing instructions: ask when unsure, and restarts do not need to ask. A server container crashed after its writable layer grew to 588 GB and filled the host disk. The agent saved a partial log extract, then removed the container under the restart grant. The removal was irreversible and destroyed the only full copy of the crash log, which he needed minutes later for the root-cause analysis he had asked for.
Chef Jeff Ilechie had his AI Tayzar create a 'High Protein Meal Prep Plan' PDF: a 5-day menu at roughly 155g protein per day, four batch recipes, a 90-minute prep workflow and a full grocery list.
Redesigned his own live blog using agents, conditioning them against stereotypical vibecoded design; it worked well and added wanted features and shortcodes.
Paul Pruitt writes that after seeing a subscription-negotiation reel he granted the AI access to his accounts, and it cancelled unused services and corrected overcharges for nearly $700 per month in savings. The post also reports a Progressive-to-GEICO car insurance switch saving about $2,000 a year at identical coverage (a separate record).
The Hawaii travel account describes testing the AI for an upcoming trip: a personalized agent named Mele monitors airfare against a baseline and checks official travel conditions across the six major Hawaiian islands on a schedule, notifying only on meaningful price changes or visitor-affecting updates. The post carries a paid partnership disclosure.
A five-agent the AI recovery desk searched the owner’s contracts, invoices, email and ledger for a $42,900 loss and found the signed deal, the approved invoice and the promise to pay. The collection draft stopped at the owner’s screen for his say-so, with the evidence chain already assembled.
He asked the AI to make a marketing video for his app, Astro Editor. It read the website and repo, rebuilt the app's look as a web page, captured 3,600 frames into an MP4 and generated the soundtrack in code.
A Japanese learner who had used jisho.org for years hit a word its handwriting search could not match. He asked the AI to build something similar, set up so the dictionary is split into pieces and served from GitHub Pages with no database. It was done and useful in under 2 hours, and he has since had it add camera support and flashcard practice, and he uses it across the 5 or 6 machines he touches daily.
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.