Created a personal AI podcast
Leslie Samuel put the AI to work on 11 real tasks with screen recordings, showing what worked and what needs supervision. One was generating his own personal AI podcast.
A random mix from the whole library. Shuffle for a new set.
Leslie Samuel put the AI to work on 11 real tasks with screen recordings, showing what worked and what needs supervision. One was generating his own personal AI podcast.
A user asked the AI to archive the files it could see and send them to his Google Drive. The AI sent an archive of about 6.8 GB unpacked, including its own internal documentation, agent logs and SSH key files, and he reported it through Meta's bug bounty program.
Asked a chatbot to make a browser extension that adds the Google Maps link back to search results; uses it almost every day.
The AI helped him add drop-down menus to his archived WordPress blog so his 460 podcasts and more than 6,000 blog posts can be reached by category and by date. The AI also helped configure the search box for dynamic searches.
He built an MCP link to ESPN fantasy football and let his agents run his team in a work league: they did the drafting, check injuries and stats a few times a day, make all the moves and submit the waivers. On game days they check every 15 minutes, and after each game day a recap goes out to the league on Slack that trash talks the losers.
Cornell's third live demo on How I AI: The AI converted his 20-year-old blog into a daily podcast, an archive-repurposing use case for a long-running content creator.
The AI decompiled his old VB3 game and recompiled it as a Linux AppImage. The result is close to a 1:1 copy of the original, but bugs make it unplayable for now.
An AI-designed split keyboard, built and now on his desk.
He spent about a tenth of his AI 6.1 SOL use having it sort all his chat threads into a few main projects and clean out the empty ones. It used the Chrome browser and finished the job with no mistakes.
Instead of just watching film and going on impressions, he charted the Western Michigan and Minnesota games. The AI built a small browser app to help him chart and then summed up the plays, and he shared EPA numbers on standard downs for the Minnesota game.
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.