feels like the industry figured out how to build ai agents faster than how to understand them.

everyone demos agents.
very few teams can confidently answer:

• why an agent failed

• what changed between runs

• whether quality is improving or regressing

• or if the agent is actually reliable over time

curious how people here are handling this today.