The workflow aims to assist applied data scientists in designing GenAI agent prototypes by producing an agent architecture blueprint, tool schemas, prompt scaffolding, evaluation plans, and failure-mode analyses. The system must convert a high-level task description into a structured, testable, and cost-aware prototype design. The output must be systematic, engineering-focused, and ready for iteration and versioning.