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Improving recipe quality with multi-model routing

We refined per-task model routing to improve consistency and response speed.

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2026-02-10
5 min read
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blog article family는 읽기 흐름을 방해하지 않되, 메타 정보와 다음 CTA가 주변 rail로 분리되어야 합니다.

Different Friji tasks need different response shapes, so a single-model approach was no longer the right tradeoff for both latency and answer quality.

We reclassified the main paths such as inventory analysis, substitution suggestions, and recipe generation, then routed each class to the strongest model for that job.

The result was more consistent output quality and faster first responses on the user side without changing the overall product flow.

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상세 글은 제품 업데이트의 이유, 변화 포인트, 다음 행동이 바로 보이게 유지합니다.

  • Published on 2026-02-10
  • 5 min read
  • Product track
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Friji analyzes the ingredients in your fridge with AI, then suggests personalized recipes and meal plans. Practice zero waste and save on food costs.

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