Maybe this is me being the wrong persona since I clicked for the model and not the platform, but literally the moment my eye caught

> Agent observability is crowded, so instead of a bullet list of how Laminar differs from X, we’ll explain how we’re solving agent observability from first principles

my brain shut down and bounced minus the comment because it's a launch and maybe you'd want feedback.

I'd be using this for post-training in a custom harness: so what you focused on during post-training and what it excels at are the most interesting things