Weβre the Kayak of LLMsβone prompt in, and our βLLM Councilβ auto-routes to the model that wins on speed, depth, and cost. You see the deliberation, capture the logs, and ship cheaper, faster, higher-quality outputs in a polished, product-ready UX.