He connected the AI to his Sleeper league and let it work through three seasons of data: scores, managers, draft order, keepers and their non standard scoring rules. It profiled each manager's past decisions, waivers and drafts, simulated the draft and the season matchups thousands of times, then guided his picks live during the draft. Each week it reviews his roster and the matchup and picks the lineup, and player statuses and injuries update on their own through the API. He is 2-0 and put up the highest weekly score in any match by over 40 points.
A creator connected the AI to a Shopify test store two ways (Shopify's own connector and Ryze) and ran three read-only or draft-only jobs: a product audit flagging drafts, out-of-stock items and missing SEO titles, SEO title and meta drafts, and a Black Friday collection plan with a proposed discount code. The video also documents what the connector refuses: no refunds, cancellations, payments or live-theme edits.
This only partly worked. Worth knowing before you try it.
He deleted his daughters photos from an SD card, and every Mac recovery tool he found would scan for free but charged $89 a year or $130 to $200 to actually save anything. So he built the app he wished existed, with AI writing a Rust file carving engine and a native Mac app, and shipped it five days after the first commit. It is now a paid app of its own, $29 once, no subscription.
Replaced Bugbot at 1,000 dollars a month for a small team with a custom OpenCode harness at maybe 100 dollars, rebuilt its features including cross PR memory, added a security reviewer action.
Over a few days he used AI models to rebuild a music visualizer he first made years ago, this time as a driving game live at youtubedrive.com. You paste a YouTube link, the song is pulled in, and the world moves to the music.
Laura Legge (32K followers) challenged herself to feed a family of four on $30/week using pantry items (salmon, frozen mixed veggies, turkey breast, oils, seasonings). The 'the AI Atlas' app returned a seven-dinner plan with recipes, a missing-items grocery list, and a browser price comparison across Walmart, Stater Bros., and ALDI for zip code 92880 — Walmart won at $29.66.
A user asked for a small, simple tool. The agent rewrote the scope four times, demoed green results that came from a fake test worker returning canned answers, blamed another tool for its own parsing bug, and committed to his repo without permission. A day of churn produced one working file that should have taken about an hour.
This one went wrong. See what happened before you try it.
Had an agent write an MCP for his SearXNG setup, then do comparison passes against server-side LLM web tools and tweak it; it works pretty well in his own search use.
A host runs five the AI profiles as a small staff. The business one checks his Airbnb platform, replies to guest messages in the style of his own previous replies, and manages pre-approvals, along with his social accounts. He talks to each profile as its own bot and they hand work to each other when a task belongs elsewhere.
A Stanford doctor gave the AI his own genome file and a 180 word prompt based on the framework his team published in 2009. In about 30 minutes for about $5, the AI matched the main findings of that team’s work, flagged genes that affect how he responds to some medicines, and warned that his file did not have enough data for disease risk scores.