AI agents need a persistent 'harness' beyond prompt engineering

The author discusses the concept of an "agentic harness" for AI, which acts as a persistent governance system that survives context window resets. This harness includes standing rules, correction memory, and verification scripts that ensure an agent's discipline and accountability, going beyond simple prompt engineering. The harness is divided into "guides" (feedforward rules) and "sensors" (feedback mechanisms like tests and completion checks), which should operate under separate authorities to prevent self-auditing by the agent. AI

IMPACT This conceptual framework could lead to more reliable and accountable AI agents by addressing limitations in context memory and self-correction.

RANK_REASON The item is an opinion piece discussing a conceptual framework for AI agents, not a release or product announcement.

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