Wine Blending Fusion

Run prompt on models with different strengths; fusion pass extracts best elements selectively — not averaging. Use when models complement (reasoning + phrasing + facts). Scope boundary: single-model routing → `emergency-triage-compute`.

CatCorner22 Updated

File contents

Wine blending multi-model fusion

#28 · Domain: Enology · Category: refinement · Difficulty: 🔴 High

Core principle

Selective composition — each varietal covers others' weaknesses.

AI problem addressed

Route-to-one or average ensembles lose complementary strengths.

Implementation

Model A: structure/skeleton Model B: phrasing/metaphor Model C: citations/facts Fusion: compose strengths; cover weaknesses — do not average.

Boundaries

  • Prototype as prompt scaffold (🟢) before full pipeline middleware (🟡/🔴)
  • Category router: ai-transfer-refinement
  • Catalog: ai-transfer-ecosystem-primer
  • Runtime plugin id: wine_blending

CatCorner22/Cursor_Skills/tree/main/skills/ai-transfer/wine-blending-fusion commit 61ad8650ed

Frequently asked questions

npx skillmds@latest add catcorner22/wine-blending-fusion