Explain a GenAI Use Case and Learn from a Failure

Describe a concrete example of using generative AI, including how it worked and your own contribution. Then discuss a mistake or failure involving that use and what you learned from it. ### Part 1 — Explain the use case What problem were you solving, what did the model receive and produce, and how did you decide whether the result was useful? #### What This Part Should Cover - The surrounding workflow, implementation choices, and personal responsibility. - Evaluation, human involvement, and limits of the model's output. ### Part 2 — Explain a mistake What went wrong, how did you detect it, and what did you change? #### What This Part Should Cover - A specific failure and its cause, with evidence. - Remediation, regression checks, and remaining limitations. ### What a Strong Answer Covers - A detailed example rather than a list of tools or an unsupported productivity claim. - Clear separation of model behavior from failures in retrieval, integration, or evaluation. - Honest reflection on the candidate's own decisions. ### Follow-up Questions - How would you distinguish a model-generation failure from a problem with the context supplied to it? - What evidence would show that the repair works beyond the original failing example?