AI & Enterprise
Search, tool calls, repetitive tasks: the harness that drives AI agents
An AI agent’s performance is determined not only by the large language model itself but also by surrounding software known as a harness, which enables tool use, result verification and long-running work. Earendil describes agents as a model plus a harness, and breaks harness functions into system prompts, external tools, an agent loop and a conversion layer across models. Nvidia’s AVO is cited as an example, though direct score comparisons are cautioned against.
