Nate B. Jones defines an AI harnessAn AI agent harness is the software framework that packages a model with tools, instructions, context management, execution controls, and user interaction. as the instructions, project files, memories, skillsAn AI agent skill is a reusable package of instructions, resources, and tool guidance for performing a bounded kind of work., tools, permissions and checks that shape a model before a user enters a prompt. He explains how repeated corrections can accumulate into an invisible system that makes newer models perform worse.
Nate B. Jones recommends mapping every control before changing it, identifying its owner and evidence, and distinguishing advisory text from enforceable locks. He also argues for one canonical home per rule so duplicated guidance cannot drift across skills and projects.
Nate B. Jones compares compact and heavily specified setups for Fable 5 and GPT-5.6. His broader lesson is to load specialist context only when the work reaches that phaseContext engineering designs how relevant instructions, evidence, state and tool information are assembled for a model's task., move machine-verifiable requirements into schemas or checksAgent completion verification checks evidence that an agent achieved the requested outcome rather than merely producing intermediate work., and keep receipts that show which model, tools, fallbacks and validations actually ranAn agent audit trail is an ordered, durable record of an AI agent's instructions, decisions, tool calls, state changes, identities, and outcomes..
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