Most of these started because something in my own work kept slipping, and I wanted to see whether I could design my way out of it the same way I would for a client. The projects are systems I actually run, built mostly with AI and tested on my own days before anyone else sees them. The play is the photography, animation and design I’ve always made for the fun of it, and still do.
A governed workspace where AI agents do real work against my files under written rules. Every decision that governs future work gets an ID, a date and a quote, so a rule made once is still in force a week later. The agents read the register before they act.
Open the modelRoles are discovered, read first-party where possible, and scored against a written rubric that the feedback then changes. Companies are tracked separately from the roles they post, because the two questions are not the same one.
Write-up comingNewsletters arrive, stay unread, and what is worth keeping is extracted into a catalog organized by the situation you are stuck on rather than by topic. Anything built from a headline alone is marked as such, so a thin source cannot masquerade as a read one.
Write-up comingOne scheduled run each morning, reading the sources I would otherwise not get to, and writing the result somewhere I will actually see it. The smallest of these systems and the one that proved the pattern.
Write-up comingAnything said in passing lands in an inbox. Anything that governs future work becomes a numbered decision with a date and a verbatim quote. Three scheduled agents read that register at the start of every run, so a rule made on a Tuesday is still in force the following week without anyone restating it.
Click any node to see what that part of the system actually does.