Coordinate a large research or engineering workload across specialist AI sub-agents without losing evaluation or governance.
Architect.
AI orchestrator routing work across specialist sub-agents over MCP (Model Context Protocol): tool-calling workflows, a rubric-based evaluation loop scoring agent output on defined criteria, and human-in-the-loop review at each stage.
System architecture, evaluation-rubric design, and governance model.
Sub-agents perform the delegated work under orchestration and evaluation.
Production system in active use across AGFarms ventures. Orchestration and evaluation infrastructure does not by itself guarantee the scientific or factual correctness of any downstream output; that still requires human review, applied per artifact.