HardTake home20 min to answer

Build and configure an agent in ChatGPT to solve a client need.

Asked at

OpenAI

1Give yourself 20 minutes

2Answer out loud, not in your head

3Then compare with the answer below

Stuck? Show a way to structure it+

01Clarify the objective, user, constraints, and acceptable failure modes.
02Structure the response around requirements, agent design, testing, demo.
03Compare credible alternatives and state the decision criteria.
04Finish with validation, monitoring, and what would change the decision.

Reference answer

strong answer

I would first define the outcome and acceptable error boundary. I would explicitly cover requirements, agent design, testing, demo. I would select an approach only after comparing quality, latency, cost, safety, and operational complexity, then validate it with representative cases and production monitoring.

requirements
agent design
testing
demo

Must be adapted to the interviewer’s scenario
Would benefit from concrete numbers and personal examples

alternative answer

A second valid approach is to begin with the highest-risk assumption and test it cheaply. I would explicitly cover requirements, agent design, testing, demo. I would select an approach only after comparing quality, latency, cost, safety, and operational complexity, then validate it with representative cases and production monitoring.

requirements
agent design
testing
demo

Must be adapted to the interviewer’s scenario
Would benefit from concrete numbers and personal examples

Grade yourself

requirements

weight 30%

StrongExplains requirements concretely and ties it to a decision or measurable outcome.

WeakMentions requirements without implications, trade-offs, or evidence.

agent design

weight 25%

StrongExplains agent design concretely and ties it to a decision or measurable outcome.

WeakMentions agent design without implications, trade-offs, or evidence.

testing

weight 25%

StrongExplains testing concretely and ties it to a decision or measurable outcome.

WeakMentions testing without implications, trade-offs, or evidence.

demo

weight 20%

StrongExplains demo concretely and ties it to a decision or measurable outcome.

WeakMentions demo without implications, trade-offs, or evidence.

Then expect these follow-ups

What assumption is most fragile?
Tests: depth
What alternative did you reject and why?
Tests: adaptability
How would you validate this in production?
Tests: adaptability

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