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To enforce architect verification before completion, you need a persistence loop that gates final task declaration behind a fresh architect review. This mechanism prevents partial results by requiring strict end-state validation after all iterations finish.

The best way to run long-running automation tasks is to use a persistence loop that supports background execution for long steps and automatic retry on failure. This ensures deterministic progress across iterations without silent failures.

Parallel delegation for subtasks spanning multiple iterations works by distributing tasks across appropriate agent tiers within a persistence loop. The loop maintains session-persistent progress, ensuring that delegated subtasks are tracked and retried until fully resolved.

To prevent silent failures in automated task execution loops, implement a system that enforces deterministic progress and formal verification before completion. This approach catches incomplete subtasks by requiring a fresh validation pass at the end state.

Yes, a task-persistence loop is designed specifically for multi-step tasks requiring strict end-state validation. It continues executing across iterations and applies formal architect review gating to guarantee that the final output meets all quality requirements.

You should not use an iteration loop with architect sign-off for simple, single-step tasks that do not require parallel delegation or strict end-state validation. The overhead of session persistence and formal review gates is intended for complex, long-running workflows.