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  <title>Jellie case studies</title>
  <link href="https://jellie.ai/case-studies/"/>
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  <id>https://jellie.ai/case-studies/</id>
  <updated>2026-10-26T00:00:00Z</updated>
  <author><name>Jellie AI, Inc.</name></author>
  <entry>
    <title>AI business development engine for recruiting. Booking 7–9 calls/week.</title>
    <link href="https://jellie.ai/case-studies/ai-sdr-for-recruiting/"/>
    <id>https://jellie.ai/case-studies/ai-sdr-for-recruiting/</id>
    <updated>2026-10-26T00:00:00Z</updated>
    <summary>A 3-partner recruiting agency was spending 60% of their time on client hunting, inbound inquiries, and candidate speccing. We built an AI agent swarm that automated the workflow and passed only qualified prospects to the partners for demos.</summary>
  </entry>
  <entry>
    <title>Prompt-based matching replaced with a scalable AI scoring platform on AWS.</title>
    <link href="https://jellie.ai/case-studies/case-screening-platform/"/>
    <id>https://jellie.ai/case-studies/case-screening-platform/</id>
    <updated>2026-10-26T00:00:00Z</updated>
    <summary>A US resume screening platform rebuilt from a single-prompt setup into production infrastructure, without pausing the product.</summary>
  </entry>
  <entry>
    <title>AI vetting and matching layer shipped from zero to MVP in under 3 months.</title>
    <link href="https://jellie.ai/case-studies/case-study-curated-marketplace/"/>
    <id>https://jellie.ai/case-studies/case-study-curated-marketplace/</id>
    <updated>2026-10-26T00:00:00Z</updated>
    <summary>A US curated talent marketplace needed vetting, assessment, and matching built into the product itself. We joined as an embedded team and built it.</summary>
  </entry>
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