How to build a continuous evaluation pipeline for multi-agent systems with Gemini @googlecloudtech
How to build a continuous evaluation pipeline for multi-agent systems with Gemini  @googlecloudtech
Uploaded June 2026 | Updated September 2026, 2 weeks ago
Check out the codelab discussed in this episode here. → https://goo.gle/prai-rs-2

Stop guessing whether AI agents are actually working. Manual vibe checks might be fine for prototyping, but production requires real data. On the next Google Cloud Live stream, the team is showing developers how to move from subjective testing to data driven assessment using Gemini Enterprise Agent Platform Pipelines and Cloud Run functions. Join Vlad Kolesnikov and Leonid Yankulin to learn how to build an automated regression testing pipeline for your distributed multi-agent systems.

Watch along and learn:
* Data driven assessment: Implement adaptive rubrics and tool use quality metrics to rigorously evaluate AI agents.
* Shadow deployments: Safely deploy AI agents to a private tagged revision in Cloud Run.
* CI/CD automation: Integrate continuous evaluation into pipelines to ensure code changes never degrade any agent's proven quality.

Don't let invisible regressions break your production workflows.

This livestream originally aired on June 30, 2026 at 9:00 A.M. PDT / 12:00 P.M. EDT.

Speakers: Vlad Kolesnikov, Leonid Yankulin
Products Mentioned: Gemini, Gemini Enterprise Agent Platform, Cloud Run
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How to build a continuous evaluation pipeline for multi-agent systems with Gemini

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