Absolutely. That's one of the reasons we're building an AI observability platform. As we worked with production AI systems, we realized traditional metrics don't tell you whether an agent made the right decision. You need visibility into reasoning, context, tool execution, and outcomes to debug issues before they impact users.

Cool. We're working on a similar space with Failproof AI, but from the runtime reliability side. It's open source, and we've found that observability and runtime guardrails complement each other really well in production. Please checkout our open source repo of Failproof AI and make the star if you like it :)