Governed Constraint Set
The primary artifact โ what the system must hold true, what it must not violate, and what remains unresolved. Produced before any agent runs, referenced by everything downstream.
A pre-execution discipline for AI-first delivery. Move the definition of correctness upstream โ into the governance layer โ before any artifact is produced, before any agent is invoked.
AI-first delivery is fast. Dangerously fast. Agents generate artifacts at a pace that outstrips the organizational capacity to understand what was built, why, and whether it is correct.
The response has largely been reactive: add governance after the fact. This produces the governance gap โ the distance between what an AI system was instructed to do and what it can be held accountable for doing.
The governance gap is not a tooling problem. It is a sequencing problem.
Governance applied after execution is remediation. Governance applied before execution is design.
TDD (2003) โ correctness defined at implementation
BDD (2006) โ correctness defined at behaviour
DDD (2003) โ correctness defined at domain model
GDD (2026) โ correctness defined at governance layer
before any artifact existsEach transition moved correctness earlier. GDD is the next step โ the logical response to AI-first delivery compressing the gap between "designed" and "in production" to near-zero.
1. FORMALIZE write every assumption explicitly
2. STRESS find what breaks each one
3. CHECK verify internal consistency
4. SURFACE collect what cannot be resolved
5. GATE human decision on the residue
6. CONVERGE exit with explicit acknowledgmentExit condition: not all resolved โ but all residue explicitly acknowledged with an owner.