Use-case authoring became more governed and reusable

A clearer authoring model makes each AI use case more source-backed, bounded, reusable, and testable before runtime.

What changed

• Use cases capture the problem, approved context, tools, and intended outcome.
• Boundaries make reuse safer across related workflows.
• Testability is considered before a workflow reaches runtime.

Why it matters

Teams can make a concrete implementation decision before writing a broad prompt or exposing an unreviewed capability.

Scope: Authoring discipline does not substitute for downstream permission checks and controlled rollout.