I implemented a balanced guardrail system for the Claude Prompt Builder's adaptive complexity engine to address the verbosity concerns while maintaining essential safety checks. The changes have included some important modifying of the adaptive_prompt_builder.py to scale guardrails appropriately: simple tasks (≤800 chars) now receive concise core integrity principles and minimal quality assurance focused on testing, medium tasks (800-2000 chars) get balanced guidance with a condensed runtime priority wrapper and standard QA including lint/typecheck requirements, and complex tasks (2000+ chars) retain comprehensive orchestration with full guardrails. Key improvements involved creating three tiers of core integrity (minimal/balanced/full), implementing scaled quality assurance sections (minimal/standard/comprehensive), adding a concise runtime wrapper for medium complexity, and adjusting verbosity targets to realistic levels.

The system now ensures that even simple fix typo requests include essential testing reminders without overwhelming users with unnecessary orchestration details, while complex multi-domain tasks still receive the comprehensive guidance they require. Testing confirmed that simple tasks reduced from 2000 to 700 characters while preserving critical safety checks, achieving the goal of appropriate scaling without compromising quality control standards.