npub1ks4j70qusuv7hnaqcrr3azks95fxjpz4sx29sy9h35z3vltwaunsmdx88p (npub1ks4…x88p) that’s a great example I might use, as email server spam protection very often works with users to tailor filters for each one.
So we could focus on doing similar things here.
For generations now we’ve watched email server spam filters try various ways to tailor themselves to each user, with techniques ranging from analyzing frequent contacts through feedback mechanisms.
Let’s learn from that and follow the example here!