Model vs Harness: Why Great Models Fail in Poor Agents
arpit_bhayani · x · 2026-08-21
Arpit Bhayani argues that an AI model's effectiveness is limited by the engineering architecture (harness) it runs on. Even with a top-tier model, an Agent will perform poorly if the supporting infrastructure—context management, tool calling, or control logic—is poorly designed.
Core Insight:
- Don't focus solely on the model's capability when building Agents.
- The "harness"—the engineering stack connecting the model to the task—is equally critical.
- A bad harness wastes model potential, preventing the Agent from reasoning or executing tasks effectively.
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