Last month, a post on r/ExperiencedDevs went viral: a company spending $1 million per month on AI API costs. Layoffs wouldn't even make a meaningful dent.
The painful part? They couldn't force teams onto cheaper models because quality genuinely dropped on complex tasks. Sound familiar?
We faced the same wall at $10K/month across our team. Here's how we solved it — and cut costs by 65% without a single developer complaint.
The Problem: All-or-Nothing Model Selection
Most teams pick one model and use it for everything:
