Design an evaluation loop for an agent that learns from reviewer feedback without silently drifting.

Instruction: Describe how you would use reviewer feedback to improve an agent while keeping behavior stable.

Context: Assesses whether the candidate can design a practical architecture and explain the main tradeoffs. Describe how you would use reviewer feedback to improve an agent while keeping behavior stable.

Official answer available

Preview the opening of the answer, then unlock the full walkthrough.

I would make learning and evaluation distinct stages. Reviewer feedback can improve prompts, policies, or routing, but those changes should not silently flow into production without passing a benchmark and versioned review process.

So I would capture reviewer feedback as structured signals, turn the important ones into benchmark...

Upgrade to view official answer

Related Questions