Ai

Verification checkpoint in agent harnesses that blocks irreversible actions until cross-skill, cross-scale, and evidence-sufficiency checks pass.

Definition and best practices for deterministic grading in LLM evaluation using code-based rules instead of model-in-the-loop judgment.

Prompting technique where an AI model is guided — or learns — to reason through a problem step by step before arriving at the final answer, rather than jumping straight to the conclusion.

Explains how AI models maintain context across multiple exchanges using conversation history injection rather than internal memory.

Overview of agent harness engineering — the scaffolding, infrastructure, and tooling surrounding an AI agent, covering execution environments, tool orchestration, memory management, control flow, tracing, safety, and state persistence