Describe an AI-agent workflow you built for a production use case and how you evaluated its quality.I would explain the workflow's user goal, tools, data boundaries, orchestration design, and failure handling. I would also describe an evaluation suite using representative scenarios, structured success criteria, regression testing, human review for high-risk cases, and production metrics such as completion rate, latency, and escalation rate.
How would you design an automated prior-authorization workflow while protecting PHI?I would apply least-privilege service access, encryption in transit and at rest, strict audit logging, and redaction rules that prevent PHI from entering application logs or model telemetry. The workflow would use explicit approval gates for consequential actions, idempotent processing, traceable state transitions, and carefully scoped integrations with payer or EHR systems.
How do you take an ambiguous operational problem from zero to one?I start with interviews and workflow observation to identify the user, decision points, constraints, and measurable outcome. I write a lightweight specification, define a narrow first release and success metrics, validate assumptions early, then ship an observable version that can be iterated using real feedback.
What is your approach to reviewing code produced by AI coding agents?I treat AI-generated code as an untrusted draft and review architecture, security boundaries, correctness, tests, dependency choices, and operational impact. I use clear repository instructions, small scoped tasks, automated checks, and targeted manual testing before merging, especially around data access and production integrations.
How would you structure a service that must reliably execute long-running clinic workflows?I would model the workflow as durable, versioned state with explicit retries, timeouts, compensation paths, and idempotency keys. A workflow engine such as Temporal would coordinate steps, while service APIs, events, monitoring, and alerts would provide clear visibility into failures and allow safe recovery.
