Design AI features for Gmail (drafting, triage, and search).

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### Signal to interviewer

I can turn broad AI ideas into role-aligned workflow features with measurable business and trust outcomes.

### Clarify

I would clarify user segments, message volume patterns, and risk sensitivity for automated actions.

### Approach

Use a workflow trident: drafting assistant, triage engine, and grounded semantic search, all connected by shared context and feedback loops.

### Metrics & instrumentation

Primary metric: reduction in time-to-inbox-zero. Secondary metrics: draft acceptance, triage correction rate, and search task completion. Guardrails: wrong-priority classification, unsafe auto-actions, and hallucinated summaries.

### Tradeoffs

More automation reduces effort but can hide critical context. More confirmations increase trust but add interaction friction.

### Risks & mitigations

Risk: bad triage on urgent emails; mitigate with confidence thresholds. Risk: overconfident drafts; mitigate with source-backed facts. Risk: noisy labels; mitigate with user correction capture.

### Example

For sales users, AI drafts renewal replies, flags at-risk accounts, and surfaces contract threads instantly during response composition.

### 90-second version

Design Gmail AI around drafting, triage, and search together. Optimize time saved while preserving control, traceability, and correction-driven learning.

FOLLOW-UPS

Clarification

Which inbox persona should be first: executives, sales, or support?
What actions require confirmation versus safe auto-execution?

Depth

How would you architect shared context between drafting and search?
What online metrics detect triage regressions fastest?

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