Orchestration
Orchestration fabric (Orca)
Routes work into isolated execution contexts and dispatches parallel slices to the right model providers.
Architecture
Inside the Labs experiment, three cooperating layers — an orchestration fabric, a governance company layer, and an execution fleet — create predictable flow with accountable gates instead of ad-hoc prompt chains.
The stack
Each layer owns a distinct responsibility; together they turn many model calls into one accountable fleet — within the experiment, not as Catalyst Group’s operating company.
Orchestration
Routes work into isolated execution contexts and dispatches parallel slices to the right model providers.
Governance
Owns role identity, issue assignment, blockers, budgets, approvals, and outcome disposition.
Communications
Carries routine handoffs and status exchange so teams coordinate without brittle point-to-point coupling.
Lifecycle
Every deliverable travels the same four stages, and each stage leaves inspectable evidence.
A scoped issue captures expected outcome, tier, and acceptance criteria before execution begins.
Orchestration fans out bounded tasks to specialist lanes while preserving clear ownership per slice.
Agents execute and leave comments, documents, and work products that make every claim inspectable.
Design, security, and release reviewers accept or reject before merge; publication follows accepted gates only.
Setup story
Single-session workflows mixed drafting, judgement, and review. Quality looked plausible but failed under verification. There was no first-class owner for final acceptance, so defects leaked through despite good intent.
Role separation became explicit: delivery ownership, acceptance ownership, and policy gates are now distinct actors. Tiered delegation lowered cost while increasing quality by reserving expensive reasoning for irreversible decisions.