gsd-ai-integration-phase

To create an AI-SPEC.md design contract for phase planning, you orchestrate framework selection, research synthesis, and evaluation strategy design to document architecture decisions and measurable success criteria. This converts vague phase descriptions into verifiable blueprints.

An AI-SPEC.md contract is a documented blueprint for AI system phases that captures assumptions, architecture decisions, and evaluation plans. You need it during project planning when build-research-evaluate steps require a shared, verifiable alignment.

You plan an evaluation strategy by generating it alongside the design contract during phase planning, ensuring the AI agent workflow outcome is measurable. This grounds domain assumptions and defines how success will be tested.

Yes, you can generate a design contract without a phase number because the system auto-detects the next unplanned phase. If you provide a phase number, it uses that specific context to structure the framework selection and research.

The best way to document framework selection decisions is through an AI-SPEC.md contract that structures the remaining work around the chosen AI framework. This grounds domain assumptions and aligns research with the evaluation strategy.

Yes, this approach preserves all workflow gates while integrating domain and AI research synthesis into the phase planning process. It uses provided context inputs to ensure the design contract maintains existing project workflow integrity.