His scheduled agent workflows turn warehouse data into a self-contained dashboard
Has a number of the AI scheduled workflows that pull warehouse data to make a dashboard with an embedded DuckDB loaded with the data.
A random mix from the whole library. Shuffle for a new set.
Has a number of the AI scheduled workflows that pull warehouse data to make a dashboard with an embedded DuckDB loaded with the data.
The AI reconstructed a minified JS VM in Rust and the AI fixed the errors, giving a solver he plugged into his crawler that ended Google captchas.
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.
Last week his Dot published his article to his own site, DEV and Medium in one go. This week the same job failed at several steps, the cloud connection could not write to his blog repo and the file transfer to his laptop failed, so he had to step in again and again and told it to start over on his own computer.
The AI wrote a POSIX vi implementation from the POSIX specs over a weekend; he has used it for over a month with no fault found in its POSIX implementation.
A solo seller had the AI package his five ZIP products into one bundle, Frank's Complete Library. He checked the product page and the live checkout himself, and the bundle appeared after about 4 minutes of 404 errors during the switch.
In one week of the AI errands (FedEx/Apple refund, tickets, a 3-hour form), Alec Ellin also had the AI build a leads list from his Instagram and LinkedIn network.
He could not find any service that tracks new plays by his 30 or so favorite playwrights. Now the AI checks and tells him every week.
He had about 250 old newsletters sitting on beehiiv doing nothing. He fed them to the AI, had it turn them into blog posts, and the blog is now live with Google already sending readers to it, giving him a new funnel in a couple of hours.
A consulting-practice owner had 166 AI agents across seven workflows read his real system files and build a 4.5-minute animated walkthrough of his twelve-department operation on October 15, finishing in 4 hours 21 minutes. Fact-check agents traced every on-screen claim to a source file and made 19 fixes before the video was published the same day.
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.