FUNDING · CODING · #1710
Spotify presents Ads AI multi-agent production patterns using Google ADK Java
At QCon AI, Pratik Rasam (Senior Engineer, Spotify Ads) described how Spotify Ads Manager’s Ads AI runs production-grade multi-agent systems using Google ADK Java and Vertex AI on GCP. The talk covered architectural patterns, domain ownership (one agent = one package/owner), deterministic guardrails, tracing-based evaluation, and lessons on agent boundaries, tool schemas, and cost management; Spotify reported that since launch >70% of ads use AI, with ~20,000 creatives for over 7,000 advertisers.
KEY POINTS
- At QCon AI, Pratik Rasam (Senior Engineer, Spotify Ads) described how Spotify Ads Manager’s Ads AI runs production-grade multi-agent systems using Google ADK Java and Vertex AI on GCP.
- The talk covered architectural patterns, domain ownership (one agent = one package/owner), deterministic guardrails, tracing-based evaluation, and lessons on agent boundaries, tool schemas, and cost management; Spotify reported that since launch >70% of ads use AI, with ~20,000 creatives for over 7,000 advertisers.
- This reveals a concrete, production-scale multi-agent architecture and operational lessons from a major company, relevant for teams deploying AI systems at scale.
WHY IT MATTERS
This reveals a concrete, production-scale multi-agent architecture and operational lessons from a major company, relevant for teams deploying AI systems at scale.