Why mature AI teams never use just one LLM
Summary
The article argues that mature AI teams should stop relying on a single LLM and instead route tasks across several specialized models. It explains how different models fit different jobs such as long-form writing, low-cost reasoning, strict JSON output, retrieval with citations, image generation, and transcription. It also describes a three-layer orchestration architecture with classification, specialized execution, and fallback handling. The piece claims this multi-LLM setup can cut monthly AI costs by four to five times while improving quality and resilience.
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