How I Built an API That Cuts LLM Token Costs by 11-22%
I've been building AI-powered tools for the past year, and one thing kept bugging me: I was wasting money on tokens. Not because my prompts were bad — but because they were verbose. Every prompt I wrote had filler words, redundant phrases, and unnecessary politeness that inflated my token counts without improving the output. So I built Fortress Token Optimizer — an API that compresses prompts before they reach the LLM. Same meaning, fewer tokens, lower cost. The Problem Look at a t...
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