Your agent is live. The service is healthy. But are its answers getting better? By connecting production traces, curated data, and evaluations, your team can find failures, choose improvements, and prove the next version works before it reaches users. A first deployment is still a milestone. Then the hard questions begin: How do we keep outputs accurate and customers happy? What will it cost us? After a few iterations, teams can spend more time maintaining tools and coordinating handoffs than improving the application itself. Find the gaps between teams Consider what happens when the AI...

Source: The New Stack