workflow-orchestrator

Modeling contest workflow coordination is handled by a gate-driven scheduler that evaluates artifact gates and routes to specific skills for parsing, classification, code generation, and paper preparation. It tracks progress across subquestions without solving models directly.

A gate-driven orchestrator for mathematical modeling enforces artifact gates G1-G6 and human decision points to prevent drift. It evaluates project state, routes to auditors for consistency, and ensures accountability across the entire workflow.

Human decision points during AI-assisted modeling are enforced through explicit gates for method choice and result freeze. This governance keeps AI as a supporting role, tracks state, and protects modeling judgment by requiring manual approval before advancing.

Problem parsing and code generation for modeling contests are automated through skill routing based on state tracking. The orchestrator coordinates these stages sequentially, applying auditors for completeness and quality before advancing to results and final paper preparation.

The workflow orchestrator does not solve mathematical models directly. It coordinates end-to-end tasks like method selection, code generation, and robustness checks by evaluating gates and routing to appropriate skills while enforcing human governance.

Progress tracking and traceability across modeling subquestions are maintained via a central dashboard and explicit state tracking. The orchestrator evaluates artifact gates G1-G6, applies auditors for consistency, and routes to the next required skill based on project state.