Enforces protocol-driven development by validating requirements, designs, scope, and acceptance evidence, while maintaining immutable, traceable governance archives.
Enables AI agents to replace self-reported done checkboxes with verified, evidence-based completion tracking, using automated FAIL_TO_PASS/PASS_TO_PASS tests, mandatory mutation checking, and explicit human/AI reviews when automated proof is impossible.
Enables acceptance gates for AI coding-agent runs by recording evidence, running deterministic validation, applying a quality gate, and rendering auditable outcomes.
Enables traceable requirement discovery, technical alignment, and ISO-aligned process checking through deterministic MCP tools and resources, without requiring an embedded LLM.