AI Integration Phase

AI-SPEC.md locks four things before the planner creates tasks:

1. Framework selection (with rationale and alternatives)
2. Implementation guidance (correct syntax, patterns, pitfalls from official docs)
3. Domain context (practitioner rubric ingredients, failure modes, regulatory constraints)
4. Evaluation strategy (dimensions, rubrics, tooling, reference dataset, guardrails)

This prevents the two most common AI development failures: choosing the wrong framework for the use case, and treating evaluation as an afterthought.

1. Initialize

INIT=$(gsd-sdk query init.plan-phase "$PHASE")
if [[ "$INIT" == @file:* ]]; then INIT=$(cat "${INIT#@file:}"); fi

Parse JSON for: phase_dir, phase_number, phase_name, phase_slug, padded_phase, has_context, has_research, commit_docs.

File paths: state_path, roadmap_path, requirements_path, context_path.

Resolve agent models:

SELECTOR_MODEL=$(gsd-sdk query resolve-model gsd-framework-selector 2>/dev/null | jq -r '.model' 2>/dev/null || true)
RESEARCHER_MODEL=$(gsd-sdk query resolve-model gsd-ai-researcher 2>/dev/null | jq -r '.model' 2>/dev/null || true)
DOMAIN_MODEL=$(gsd-sdk query resolve-model gsd-domain-researcher 2>/dev/null | jq -r '.model' 2>/dev/null || true)
PLANNER_MODEL=$(gsd-sdk query resolve-model gsd-eval-planner 2>/dev/null | jq -r '.model' 2>/dev/null || true)

Check config:

AI_PHASE_ENABLED=$(gsd-sdk query config-get workflow.ai_integration_phase 2>/dev/null || echo "true")

If AI_PHASE_ENABLED is false:

AI phase is disabled in config. Enable via /gsd-settings.

Exit workflow.

If planning_exists is false: Error — run /gsd-new-project first.

2. Parse and Validate Phase

Extract phase number from $ARGUMENTS. If not provided, detect next unplanned phase.

PHASE_INFO=$(gsd-sdk query roadmap.get-phase "${PHASE}")

If found is false: Error with available phases.

3. Check Prerequisites

If has_context is false:

No CONTEXT.md found for Phase {N}.
Recommended: run /gsd-discuss-phase {N} first to capture framework preferences.
Continuing without user decisions — framework selector will ask all questions.

Continue (non-blocking).

4. Check Existing AI-SPEC

AI_SPEC_FILE=$(ls "${PHASE_DIR}"/*-AI-SPEC.md 2>/dev/null | head -1)

Text mode (workflow.text_mode: true in config or --text flag): Set TEXT_MODE=true if --text is present in $ARGUMENTS OR text_mode from init JSON is true. When TEXT_MODE is active, replace every AskUserQuestion call with a plain-text numbered list and ask the user to type their choice number. This is required for non-Claude runtimes (OpenAI Codex, Gemini CLI, etc.) where AskUserQuestion is not available. If exists: Use AskUserQuestion:

• header: "Existing AI-SPEC"
• question: "AI-SPEC.md already exists for Phase {N}. What would you like to do?"
• options:
  • "Update — re-run with existing as baseline"
  • "View — display current AI-SPEC and exit"
  • "Skip — keep current AI-SPEC and exit"

If "View": display file contents, exit. If "Skip": exit. If "Update": continue to step 5.

5. Spawn gsd-framework-selector

Display:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 GSD ► AI DESIGN CONTRACT — PHASE {N}: {name}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

◆ Step 1/4 — Framework Selection...

Spawn gsd-framework-selector with:

Read ~/.claude/agents/gsd-framework-selector.md for instructions.

<objective>
Select the right AI framework for Phase {phase_number}: {phase_name}
Goal: {phase_goal}
</objective>

<files_to_read>
{context_path if exists}
{requirements_path if exists}
</files_to_read>

<phase_context>
Phase: {phase_number} — {phase_name}
Goal: {phase_goal}
</phase_context>

Parse selector output for: primary_framework, system_type, model_provider, eval_concerns, alternative_framework.

If selector fails or returns empty: Exit with error — "Framework selection failed. Re-run /gsd-ai-integration-phase {N} or answer the framework question in /gsd-discuss-phase {N} first."

6. Initialize AI-SPEC.md

Copy template:

cp "$HOME/.claude/get-shit-done/templates/AI-SPEC.md" "${PHASE_DIR}/${PADDED_PHASE}-AI-SPEC.md"

Fill in header fields:

• Phase number and name
• System classification (from selector)
• Selected framework (from selector)
• Alternative considered (from selector)

7. Spawn gsd-ai-researcher

Display:

◆ Step 2/4 — Researching {primary_framework} docs + AI systems best practices...

Spawn gsd-ai-researcher with:

Read ~/.claude/agents/gsd-ai-researcher.md for instructions.

<objective>
Research {primary_framework} for Phase {phase_number}: {phase_name}
Write Sections 3 and 4 of AI-SPEC.md
</objective>

<files_to_read>
{ai_spec_path}
{context_path if exists}
</files_to_read>

<input>
framework: {primary_framework}
system_type: {system_type}
model_provider: {model_provider}
ai_spec_path: {ai_spec_path}
phase_context: Phase {phase_number}: {phase_name} — {phase_goal}
</input>

8. Spawn gsd-domain-researcher

Display:

◆ Step 3/4 — Researching domain context and expert evaluation criteria...

Spawn gsd-domain-researcher with:

Read ~/.claude/agents/gsd-domain-researcher.md for instructions.

<objective>
Research the business domain and expert evaluation criteria for Phase {phase_number}: {phase_name}
Write Section 1b (Domain Context) of AI-SPEC.md
</objective>

<files_to_read>
{ai_spec_path}
{context_path if exists}
{requirements_path if exists}
</files_to_read>

<input>
system_type: {system_type}
phase_name: {phase_name}
phase_goal: {phase_goal}
ai_spec_path: {ai_spec_path}
</input>

9. Spawn gsd-eval-planner

Display:

◆ Step 4/4 — Designing evaluation strategy from domain + technical context...

Spawn gsd-eval-planner with:

Read ~/.claude/agents/gsd-eval-planner.md for instructions.

<objective>
Design evaluation strategy for Phase {phase_number}: {phase_name}
Write Sections 5, 6, and 7 of AI-SPEC.md
AI-SPEC.md now contains domain context (Section 1b) — use it as your rubric starting point.
</objective>

<files_to_read>
{ai_spec_path}
{context_path if exists}
{requirements_path if exists}
</files_to_read>

<input>
system_type: {system_type}
framework: {primary_framework}
model_provider: {model_provider}
phase_name: {phase_name}
phase_goal: {phase_goal}
ai_spec_path: {ai_spec_path}
</input>

10. Validate AI-SPEC Completeness

Read the completed AI-SPEC.md. Check that:

• Section 2 has a framework name (not placeholder)
• Section 1b has at least one domain rubric ingredient (Good/Bad/Stakes)
• Section 3 has a non-empty code block (entry point pattern)
• Section 4b has a Pydantic example
• Section 5 has at least one row in the dimensions table
• Section 6 has at least one guardrail or explicit "N/A for internal tool" note
• Checklist section at end has 3+ items checked

If validation fails: Display specific missing sections. Ask user if they want to re-run the specific step or continue anyway.

11. Commit

If commit_docs is true:

git add "${AI_SPEC_FILE}"
git commit -m "docs({phase_slug}): generate AI-SPEC.md — {primary_framework} + domain context + eval strategy"

12. Display Completion

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 GSD ► AI-SPEC COMPLETE — PHASE {N}: {name}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

◆ Framework: {primary_framework}
◆ System Type: {system_type}
◆ Domain: {domain_vertical from Section 1b}
◆ Eval Dimensions: {eval_concerns}
◆ Tracing Default: Arize Phoenix (or detected existing tool)
◆ Output: {ai_spec_path}

Next step:
  /gsd-plan-phase {N}   — planner will consume AI-SPEC.md