Expert Panel: On-Demand
Trusting AI in Production:
Building Observability for Agents at Scale
Monitoring Cortex Agent Performance With Trace Data
Deploying Cortex Agents is fast; knowing when they're quietly failing on token spikes, latency creep, or error rates is a different challenge entirely. Check out the key signals every team should be monitoring and what common failure patterns actually look like in production.
Build vs. buy: The real token economics of agent observability
Building your own agent observability sounds cheaper — until the token bills arrive. Check out the real numbers behind the build vs. buy decision.
AI-Assisted Code that’s Now Data-Aware, with MC Agent Toolkit
AI coding agents are already writing code, opening PRs, and modifying data pipelines — but without any way to know if the data they're acting on can actually be trusted. Check out how the MC Agent Toolkit puts Monte Carlo's full observability context directly inside the coding agents your team is already using.