Model Instruction Boundary

Model Instruction Boundary is a ai policy boundary that separates durable system instructions from user-provided content for foundation model behavior and serving. 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 Model Instruction Boundary when the model produced a low-confidence answer, so the team could avoid instruction confusion before the agent workflow reached production.”