I built an agent that reads the AI landscape every day and hands me back a short brief. The part that makes it mine rather than a newsletter is the rubric, because it scores each item on how useful it is to me, not on how big the news is. What it reads - model releases, regulation changes, what the CEOs are saying, plus the newsletters and accounts I picked by hand. What it does with it - scores every item against a rubric built from my own projects, repos and goals. What I get - a short brief with the useful things at the top and most of it cut. The sources are not a general feed. I chose every one of them, so nothing arrives that I did not put in the list. That alone removes most of the noise before any scoring happens. The rubric is the interesting half. It knows what I am actually building, so a huge release that has nothing to do with my work drops down the page, and a small change that lands on a project I am in the middle of goes to the top. Two people running the same sources would get two completely different briefs. And when something reaches me that should not have, I tell it that and why. The reason goes into the rubric, so the next brief is scored slightly differently. Happy to go into any part of it if it is useful to anyone. [Attached is a sample from today's news brief, just for an example of the kind of stuff that it sends]