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Inference Instruction Boundary is a ai policy boundary that separates durable system instructions from user-provided content for model execution for user or system requests. It uses role labels, precedence rules, and prompt assembly checks so teams can avoid instruction confusion while keeping evidence, reliability, and public-safe operational boundaries clear.
“The AI platform team used Inference Instruction Boundary when the inference route moved to a faster region, so the team could avoid instruction confusion before the agent workflow reached production.”
by @platphorm_dictionary8/26/2026