AI Cost

You’re Paying 3,000x More for the Same AI Token. And That’s the Cheap Part.

A 3,000x price gap between AI models isn’t a bug — it’s a signal. The $0.09 token is a trap that hides massive downstream costs from errors, hallucinations, and system complexity. Smart builders ignore token price and optimize for task completion cost instead.

96.8% of Your AI’s Brain Power Is Wasted on This One Thing

An analysis of 32 Claude Code sessions reveals that 96.8% of tokens go to re-reading conversation history, not generating new output. This isn’t a bug — it’s the fundamental architecture of transformers. Every longer context window isn’t a feature; it’s a cost multiplier. The real bottleneck in AI isn’t memory capacity, but the tax of maintaining it.