aiqbench analysis
This presentation details Spotify Ads Manager's implementation of production-grade multi-agent systems using Google ADK Java to automate ad creative generation and targeting. The talk focuses on critical architectural patterns for scaling AI, including deterministic guardrails, cost optimization, and strategies for avoiding monolithic agent pitfalls in real-world advertising workflows.
Presentation: Multi-Agent Patterns from Spotify’s AI Powered Advertising Platform

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. By Pratik Rasam
"Learn how to run AI at scale at QCon AI conference. Moving AI from experiments into production increases pressure on platforms and teams. Hear senior peers explain how to control inference latency, build safe agent guardrails, and standardize internal platforms. Plus an early bird price until May 12th. Register now". Pratik Rasam: The ad that you just heard, the script, the audience, the targeting, all of that was built by an in-house production platform that we have within Spotify Ads Manager. If you're into advertising, you'll know that creating an ad involves copywriting, music generation. All of that is now not needed. All we need is just the advertiser to describe what they want in an ad. This is not a research talk, but these are actual production agents at scale running at Spotify Ads Manager. I will also be talking about the mistakes that we did while developing this platform. My name is Pratik. I'm a senior engineer at Spotify Ads. Today I will be going over the platform that builds Ads AI. Ads AI is basically a multi-agentic platform for Spotify's advertising solutions. Let me give you a scale at how we are performing within the GenAI space.…
Excerpt shown under the publisher's RSS terms · 200 words · full text and figures are on the publisher's site
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