gsd-ai-integration-phase

AI system design planning requires selecting a framework, researching the domain, and defining an evaluation strategy. This process ensures the resulting system has documented guardrails, domain assumptions, and clear success measurements before implementation begins.

Planning an AI evaluation strategy alongside framework selection requires orchestrating a workflow that selects the model approach, researches relevant documentation, and defines how success will be measured. This integration ensures the evaluation strategy aligns with the chosen framework and domain assumptions.

Yes, you can produce a reusable AI-SPEC.md document for phase-scoped implementation. The Skill converts phase inputs into a structured planning artifact, generating a contract that documents the model approach, domain assumptions, and evaluation strategy without starting from scratch.

You do not need to run framework selection and domain research separately for AI integration. The Skill orchestrates framework selection, AI research, domain research, and evaluation strategy planning in sequence, preserving workflow gates while generating the design contract.

The best way to document domain assumptions for an AI system development phase is to generate an AI-SPEC.md design contract. This artifact captures the domain approach, framework choice, and evaluation strategy in a single reusable document aligned to the specific build phase.