Projects

You're going to build an AI assistant that helps people understand health information from trusted sources like the CDC and NIH, and that knows what to refuse: it never diagnoses, never gives medical advice, and routes anything serious to a real clinician. The skill is safety-boundary design: deciding what a high-stakes tool must never do, then proving it holds on the dangerous cases. That's the scarcest thing AI application builders do as AI moves into health and other high-stakes fields, and doing one tells you fast whether building tools that fail safe is your kind of work.

You're going to work a realistic but completely made-up patient case end to end: take a history from an AI playing the patient, build a ranked list of what it could be, pick the one test that would settle it, and make the call. The skill is diagnostic reasoning under uncertainty: figuring out what's most likely, what would change your mind, and what to do right now, when you can't be sure. That's what a doctor's mind actually does, and doing one tells you fast whether reasoning toward a call without certainty is your kind of work. Important: these are fictional practice cases for learning to reason, never medical advice and never for diagnosing a real person.