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AtlasRepo

Gift Hunter: An AI Agent That Finds Gifts They’ll Actually Want

说明与用途

Gift Hunter 将礼物搜索转变为结构化、个性化的体验,提供八个带解释的想法,并自动在 Google Shopping 上搜索最佳选项,考虑预算和收件人兴趣。

问题

Gift searches often return a pile of products before helping you decide what would actually feel personal.

结果

Gift Hunter transforms gift searching into a structured, personalized experience, reducing irrelevant results and providing budget‑constrained, relevant product listings.

工作流

  • Collect recipient brief (interests, budget, occasion)
  • Send brief to Gemma via Google AI Studio to generate eight gift directions in JSON
  • Validate JSON, repair if needed
  • Select top three directions
  • Query SerpApi for Google Shopping results for each direction
  • Filter results by parsed USD budget and matching interests
  • Display directions with verified picks

证据

Gift searches often return a pile of products before helping you decide what would actually feel personal.

来源

It acts as a thoughtful brainstorming partner—it generates eight distinct, personalized gift directions spanning different kinds of gifts, explains exactly *why* each idea might fit them, and even suggests a personal finishing touch.

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Then, it goes a step further: it dynamically searches Google Shopping for the top three strongest ideas, returning real, verifiable listings that are strictly filtered by the user's maximum USD budget and relevance to the recipient's interests.

来源

The app sends the recipient brief to Gemma via Google AI Studio, requesting exactly eight gift directions using a strict JSON schema.

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SerpApi queries Google Shopping, giving the agent live web search capabilities.

来源

MongoDB Atlas is integrated as the database. It currently saves the gift-search briefs into a gift_hunter.searches collection.

来源

  • 记录日期: 2026-10-05T07:56:02.761Z