gsd-ai-integration-phase

Generating an AI design contract involves orchestrating a multi-agent workflow that coordinates framework selection, domain research, and evaluation strategy to automatically produce an AI-SPEC.md file. This ensures structured planning before writing code.

A multi-agent workflow for AI system design is an orchestrated pipeline that automates task dispatch across research, framework selection, and evaluation planning. It preserves workflow gates to generate standardized documentation for AI integration phases.

Planning an AI evaluation strategy requires defining the evaluation criteria within a structured design contract. This is achieved through a multi-agent research workflow that outputs an AI-SPEC.md file to align evaluation plans with domain research.

You need a standardized design contract when starting a new AI feature to ensure consistency across research and evaluation planning. It serves as the source of truth for agent-based task dispatch and framework selection before coding begins.

Yes, multi-agent workflow automation for AI integration phases operates without external dependencies. It internally orchestrates framework selection, domain research, and evaluation strategy design to generate the required AI-SPEC.md documentation.

The best way to structure AI framework selection is through an automated multi-agent pipeline that evaluates domain research and evaluation strategies. This approach generates a comprehensive design specification to align development phases.