AppliedAIPrep logoAppliedAI/Prep
← RAG & Agent System Design / 26
hardAnthropicOpenAISierra

How do you evaluate an AI agent, beyond just checking the final answer?

Agents fail in the middle, not just the end, so final-answer-only scoring hides the real problems and rewards lucky paths. The signal is evaluating the whole trajectory and localizing where it broke. Here is the answer.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Agents fail in the middle, not just the end, so final-answer-only scoring hides the real problems and rewards lucky paths. The signal is evaluating the whole trajectory and localizing where it broke. Here is the answer.

Unlock the other 750 answers · ₹2,000 / $25Your progress and mastery stay saved · 6 months · one payment · no auto-renew
UP NEXT ON YOUR JOURNEY
Next in this trackWhat are sub-agents, and how does an orchestrator delegate to them effectively?Next in this trackHow do agents communicate and coordinate in a multi-agent system?Next in this trackYour RAG system struggles with PDFs containing tables and complex layouts. How do you fix parsing?
DISCUSSION · 0

No comments yet — be the first to share your approach.