Clay scales agent evaluations
In 13 minutes, @jeffbarg, Vyshu Khota, and Soroush Khadem walk through how Clay scaled agent evals a...
Clay's evaluation framework helps developers scale AI agent testing efficiently, crucial for production deployments.
Clay achieved 300M+ agent evaluation runs per month. The video covers their four quadrant eval framework. The team explains closing the production-to-eval loop as the most challenging aspect. A data lake and long context enhanced agents' data capabilities.
In 13 minutes, @jeffbarg, Vyshu Khota, and Soroush Khadem walk through how Clay scaled agent evals a...
In 13 minutes, @jeffbarg , Vyshu Khota, and Soroush Khadem walk through how Clay scaled agent evals agents at 300M+ runs a month. Topics covered: ✅ Their four quadrant eval framework ✅ Why closing the production-to-eval loop is the hardest part ✅ How a data lake and long context changed what agents can do with data Your browser does not support the video tag. 🔗 View on Twitter 💬 0 🔄 2 ❤️ 6 👀 1217 📊 1 ⚡
