Part 2 of the AI Governance Series argues that governance becomes real only when it is expressed as something engineering can execute. Spec-driven development is that control layer: specifications that encode policy, constraints, and intent become the contract AI tools and developers build against, so governance is enforced as code is written, not audited after the fact.
The result is governance that moves at engineering speed instead of fighting it, controls that live in the build process rather than in a document no one opens.