One thing that's been bothering me lately: benchmark performance often tells me almost nothing about whether a workflow will survive production usage.[D]

I've seen systems score well internally and then immediately fail under:

• ambiguous user intent
• messy real-world context
• contradictory instructions
• long-running sessions

Feels like evaluation still heavily rewards clean-task optimization instead of behavioral robustness.

What are people using beyond standard eval pipelines?