1 min lesson
Trade-offs to keep on a card
Answer "Why should an LLM-assisted reply bot draft rather than auto-send and how would you defend that choice in the tooling round?" Use one lesson detail to support it.
Step 1 of 2
Trade-offs to keep on a card
- Hallucinated answers
- Ground every draft in the KB and cite the source; human reviews before send.
- Silent misrouting
- Log every classification; review the confusion matrix weekly and tune the threshold.
- Drift as product changes
- Cursor ships weekly, so the KB and signatures must be refreshed, not set-and-forget.
- Over-automation
- Keep a human in the loop on anything customer-facing; automate the toil, not the judgment.
Have these ready - the round rewards the candidate who volunteers the risks.
Practice saying the whole thing out loud until it lands in three minutes without notes. The content is half the grade; the other half is whether you can pitch it crisply, the way you'd pitch a teammate in a standup.
Why this maps to Cursor
Every automation should ladder up to one sentence: this lets the same team support more users without the quality dropping. That is the explicit goal Cursor states for the role. If your pitch can't connect to scaling support, pick a different automation.