Unverified50% confidenceOpinionExact time
The core problem that a Harness needs to solve is enabling large language models to complete tasks in a stable and controllable manner.
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50%
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Long-term
Relevance
9/15/2026
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Related Claims
UnverifiedPlanning capability relies on large language model Chain-of-Thought (CoT) reasoning, tool invocation is implemented via Function Calling or plugin mechanisms, and the orchestration layer plays the role of a workflow engine.73% similarUnverifiedIn the Harness architecture, it is necessary to build memory systems and context management mechanisms to address the stateless nature of large models.72% similarUnverifiedA single-agent system is driven by a large language model with tool-use capabilities to complete tasks.72% similarVerifiedThe core formula of Harness Engineering is: Harness (specification) + LLM (large language model) = Agent.72% similarUnverifiedThe core philosophy of Harness Engineering is to design an engineering framework that enables a model to operate efficiently on a controlled track, rather than expecting the model itself to become smarter.71% similar
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