# AgentLab

- **Event:** [Google I/O Hackathon](https://cerebralvalley.ai/e/google-io-hackathon)
- **When:** Sat, May 23 at 9:00 AM – 10:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Apoorv Shrivastava](https://cerebralvalley.ai/u/Bot-007)
- **GitHub:** https://github.com/apoorv-shrivastav/agentlab-mesh-router
- **Demo video:** https://drive.google.com/file/d/1AsSD_0KjbnIqE5P1pSbGFa0hR4xlWsfE/view?usp=sharing
- **Gallery:** https://cerebralvalley.ai/e/google-io-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/google-io-hackathon/hackathon/gallery/14

When a multi-agent pipeline produces a confident wrong answer — which step broke, and how do you know?

AgentLab is an evaluation system for multi-step agent pipelines. It watches production traces, detects quality drift, and does the part nobody else automates: it localizes the regression to the specific step that caused it. From the real failing traces it drafts targeted evaluation cases; a human approves them; the fleet is re-scored against the enlarged suite; the degraded step is rerouted to a healthy agent

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Markdown version of https://cerebralvalley.ai/e/google-io-hackathon/hackathon/gallery/14. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt