Three LLM infrastructure problems nobody's fixing properly:

**1. Your bill is unnecessarily high.** Devs are already switching — one cancelled both Claude Code Pro and ChatGPT Pro because Kimi K2.6 is "just as good for side projects at a crazy low price." We automated that decision query-by-query. 62% savings.

**2. Sequential fallback gives you the first answer, not the best.** Every gateway does try-A-fail-try-B. Someone already built `ai-retry` as a library because this is such a common hack. We run providers in parallel, score results, return the best with reasoning.

**3. "Negligible overhead" with zero data.** Every gateway says this. We published third-party benchmarks via llm-gateway-bench: 138ms → 374ms. Real numbers you can reproduce.

19.5 KB. 47 providers. Zero ML dependencies. 10K downloads in 14 days, zero marketing.

https://github.com/Das-rebel/a3m-router
