좋은 제품 만들기
Building a good product
핵심 요약
AI 에이전트 전용 검색 엔진 NineLayer를 개발하며 비용 효율성을 강조하고 초기 사용자들의 피드백을 구하는 글입니다.
- NineLayer 개발 — AI 에이전트 전용 검색 엔진을 구축하는 여정을 공유함.
- 비용 효율성 — Tavily나 Exa 대비 5배 저렴한 쿼리당 0.0017달러의 비용을 달성함.
- 성능 비교 — 4.30/5점의 경쟁력 있는 답변 품질을 확보함.
- 피드백 요청 — 초기 사용자들에게 솔직한 의견을 구하며 지속적인 개선을 진행 중임.
It's a very happening journey to create your own product. While working on NineLayer with the goal to create a search engine for AI Agents.
Recently we ran a Freshstack benchmark are compared NineLayer woth Exa and Tavily, here are the results:
Answer quality came in at 4.30/5, competitive, not perfect, but look at the cost: $0.0017 per query.
That’s literally 5× cheaper than Tavily ($0.0082) and Exa ($0.0076).
We are daily shipping features, rolling out bug fixes as we move along. And part of the journey is to get feedback from early users.
So here I am, asking to the devs out there for their honest feedback about NineLayer.
I'll be attaching the links in comment.
Thanks again!
