Someone had the AI build a trade-alpha dashboard from his trade confirmation emails and benchmark the results against SPY. The agent turned scattered confirmations into a performance benchmark.
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 used AI to move his hosting service. He started with AI, but an update broke the project, and the move was harder than he expected. With the AI's help he got through it, with a little left to finish.
This only partly worked. Worth knowing before you try it.
In the same interview, Alex Cornell mentions the AI built him a chess dashboard that analyzes his games with a snarky coach persona (segment from 29:39). It sits alongside his golf tracking as one of the personal dashboards he actually lives with.
He had his agent migrate his machine from Ubuntu to Omarchy with a backup taken first and a restore tested. The switch took about an hour, and he says he is not going back.
Gave the AI and the AI performance targets for a port of Dos Navigator, went to bed, and woke up to a fast Swift file manager he now enjoys using, especially for image previews.
After surfacing the Sept 28 triple-header, Mila built a sustainable weekly rhythm around Lixka's fixed classes, clinicals, and workouts, and asked permission before creating three tracked goals: quiz prep, reflection paper, and workouts/downtime.
A creator who makes hundreds of NPC entries for an application, work that takes hours, handed the archiving to the AI; it archived 780 entries in two weeks.
He made the schedule for a film showcase through AI. It created the events with the exact running time of each film, the address, and the travel time, and he had it add a reminder to pick up the tickets.
He runs a Funkwhale music server on a virtual machine. Using his own notes, the official docs and the AI, he moved it from version 1.4 to 2.0.12, said it went very smoothly, and wrote up how he did it.
A user built optimAIzr with AI, a local-only CLI that analyses his own LLM usage habits, flags costly or repeated patterns and estimates where he can cut tokens or spending. All data stays on his machine, and the tool adds live tips while he works.
A man built an agent in Antigravity that goes through his concert history from the last 3 years and picks new shows near him, ranked by how much he is likely to like them. It also filters shows by 18 plus or all ages, so he can take his daughter.
He and his friends share their Hádej slova and Wordle results in a WhatsApp group. Their AI, named Klepeto, watches the group, builds leaderboards and statistics from the results, and also plays under its own account.
He tried many ways to show how certain artists became his favorites and how some faded out of his rotation. With the AI he ended up with a scrollable Sankey story of his listening, published on his dashboards site.