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feat(advice): recommendation engine + LLM summarization #74

@kayodebristol

Description

@kayodebristol

Summary

Phase 3 intelligence layer for the advice engine.

Requirements

  • Recommendation engine: rank financial actions by impact × feasibility
  • Categories: spending reduction, debt optimization, savings opportunities, income optimization
  • LLM summarization (optional): generate natural-language financial summaries from deterministic analytics
  • Summaries work without AI (template-based fallback)

Principles

  • LLM never invents numbers — it summarizes deterministic outputs
  • Recommendations are always grounded in analytics data
  • AI is a presentation layer, not a computation layer

Acceptance

  • Recommendations generated from analytics data
  • LLM summary is coherent and factually grounded
  • Template-based summary works when no AI provider configured

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