FDEInterviews logo
← LLM & GenAI Fundamentals / 36
hardOpenAI

How do you know your AI system is actually working well?

Reported as the question OpenAI FDE interviewers push hardest on, and the one where 'we look at the outputs' ends loops. The three-legged answer that passes: automated metrics, calibrated human evaluation, and feedback loops wired to a business number.

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

Reported as the question OpenAI FDE interviewers push hardest on, and the one where 'we look at the outputs' ends loops. The three-legged answer that passes: automated metrics, calibrated human evaluation, and feedback loops wired to a business number.

20 answers per topic instead of 10, plus saved progress and bookmarks · no cardor unlock all 523 remaining answers · ₹2,000 / $25
UP NEXT ON YOUR JOURNEY
Next in this trackWalk me through how you'd diagnose high latency in an LLM inference pipelineNext in this trackDesign an eval suite that catches silent quality regressions when you upgrade the underlying model.Next in this trackYou have a fixed latency and cost budget at scale. Walk me through quantization vs distillation to hit it.
DISCUSSION · 0

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