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      <title>Presentation: Multi-Agent Patterns from Spotify’s AI Powered Advertising Platform</title>
      <link>https://www.infoq.com/presentations/spotify-multi-agent-ai-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Architecture-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/spotify-multi-agent-ai-architecture/en/mediumimage/pratik-rasam-medium-1790847111671.jpeg"/&gt;&lt;p&gt;Pratik Rasam discusses how Spotify Ads Manager runs production-grade multi-agent systems at scale using Google ADK Java. He shares key architectural patterns, domain ownership models, deterministic guardrails, and tracing-based evaluation strategies, detailing hard-learned lessons on drawing agent boundaries, optimizing tool schemas, and managing costs while avoiding monolithic agent pitfalls.&lt;/p&gt; &lt;i&gt;By Pratik Rasam&lt;/i&gt;</description>
      <category>Performance Evaluation</category>
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      <category>QCon AI Boston 2026</category>
      <category>Generative AI</category>
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      <category>Agents</category>
      <category>Prompt Engineering</category>
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      <pubDate>Thu, 08 Oct 2026 11:00:00 GMT</pubDate>
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      <dc:creator>Pratik Rasam</dc:creator>
      <dc:date>2026-10-08T11:00:00Z</dc:date>
      <dc:identifier>/presentations/spotify-multi-agent-ai-architecture/en</dc:identifier>
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