How Clay manages 300M agent runs a month with LangSmith

Short summary

Clay's Head of AI shares how his team manages 300M agent runs monthly using LangSmith for observability and cost tracking (99.5% reconciliation). The interview covers agent architecture at scale, production best practices, and why tracing from day zero is critical. Key insight: prioritize quality, throughput, and cost while making observability mission-critical infrastructure.

• •Clay runs 300M agent operations monthly with focus on quality, throughput, and cost
• •LangSmith provides 99.5% cost reconciliation across multiple AI providers
• •Tracing from day zero is essential for scaling agent systems in production

Generated with AI, which can make mistakes.