Production-grade AI agents require a robust "AI Harness" rather than just a superior model, as most AI projects fail due to infrastructure issues. This harness acts as an operating layer managing context, tools, memory, control loops, safety guardrails, and evaluation. Key components include agent frameworks like LangChain and LlamaIndex, execution layers such as coding harnesses or workflow orchestrators, and evaluation tools like Promptfoo. AI
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IMPACT Focuses on the engineering and infrastructure needed to make LLM agents reliable and production-ready.
RANK_REASON The article discusses best practices and concepts for deploying LLMs, rather than announcing a new model or product.