The AI Automators explains an agent harness as the prompts, skills, tools, memory and safeguards surrounding a modelAn AI agent skill is a reusable package of instructions, resources, and tool guidance for performing a bounded kind of work.. The video describes how Harness Squared proposes general and task-specific changes, tests both against the same taskEvaluation is the systematic assessment of a system's behaviour or results against explicit criteria. and combines changes supported by observed results.
The video describes a separate reflection loop that retains lessons backed by comparisonsAI agent memory is stored information that an agent can retrieve and use across steps, sessions, or changing contexts., while later tasks start from the original base harness. It reports that research benchmarks showed larger improvements for smaller models and stresses the importance of testing changes rather than assuming they help.
A production example uses a friction log and periodic review to group operational problems into evidence-backed proposals. The presenter distinguishes this from the research system: sensitive guardrails remain protected and larger code changes go through human reviewHuman-in-the-loop AI keeps a person involved in reviewing, correcting, approving, or guiding an AI system's work..
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