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To clarify scope and prevent scope creep in Claude Code workflows, use a prompt guardrail that asks for concrete constraints before execution. This ensures boundaries are defined before any action starts.

The best way to handle fuzzy user requests before AI planning is to prompt for specific constraints and guide the request into an actionable lane like plan, execute, investigate, review, or verify.

Yes, Claude Code supports enforcing non-intrusive clarifications for safe execution by disabling direct model invocation and loading a reference file to guide predictable interactions.

To route a vague development task to the correct action lane, prompt the user to define boundaries first, then guide the workflow into one of five lanes: plan, execute, investigate, review, or verify.

You should not use a scope clarification prompt when your request already has strictly defined constraints, as the prompt guardrail is designed specifically to resolve ambiguity in fuzzy requests before execution.