Your Hands-On AI Prototyping Work: Tools, a Concrete Build and Its Limits

Tell me about your hands-on experience with AI prototyping. Which tools have you worked with, and how has using them gone? ```hint Anchor on one build Rather than listing tools, pick one prototype you actually made and be ready to explain what question it answered, what the tool did well, where it fell short, and what happened next. ``` ### Clarifying Questions - By AI prototyping, do you mean using AI tools to build clickable or working prototypes quickly, prototyping a feature whose core is an AI model, or both? - Are you more interested in how my prototypes changed product decisions, or in how deep I went technically with the tools? - Should I include tools I tried and dropped, along with the ones I still use? ### What a Strong Answer Covers - An honest, specific account of the tools used and the job each one did, without overclaiming - At least one prototype described end to end: the question it had to answer, what was built, how it was tested, and the decision it led to - A clear view of where AI-built prototypes fall short (fidelity, sample data, code quality, data privacy) and how the candidate handled it - How AI prototyping changed the candidate's way of working with design, engineering and users - For a prototype of an AI feature, how output quality was checked beyond a demo that looked good ### Follow-up Questions - Tell me about a prototype that changed or killed an idea. What would have happened without it? - How do you stop stakeholders from treating a convincing AI-built prototype as nearly ready to ship? - When would you choose not to prototype with AI tools?