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In 2029, prompt engineering shifts from eliciting text to mediating actions and verifying plans for safe AI execution. This article outlines an operating model built on proposals, preflight checks, and streamlined approvals. It emphasizes policy as data, idempotency, and comprehensive observability to ensure auditable, reversible state changes, scaling autonomy with built-in trust and verifiable outcomes.
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