Research and evaluate different approaches for generating AI summaries from SpecKit design artifacts (spec.md, plan.md, tasks.md).

Goals

• Identify viable options for AI summary generation
• Evaluate cost, performance, and integration complexity
• Make decision on which approach to use

Acceptance Criteria

• Decision documented in .specify/decisions/001-ai-summary-generation.md
• ADR includes: context, options evaluated, decision, consequences
• Decision referenced from spec.md

Areas to Explore

• LLM options (OpenAI, Anthropic, local models)
• Summary generation strategies (single-shot, iterative, hierarchical)
• Cost and latency considerations

Related Links

• Feature Specification