Cystic Fibrosis Researcher
An AI-powered research assistant that helps patients, caregivers, and clinicians make sense of dense cystic fibrosis literature — turning complex science into clear, trustworthy answers.
A fun experiment
This one was pure curiosity — a fun, low-stakes experiment to get hands-on with new AI tooling and prototyping workflows. I treated it as a personal playground to pressure-test ideas, learn by building, and see how far modern tools could take a single product person from concept to working demo.
Patients & clinicians
Audience
Cited & trustworthy
Core principle
Plain-language
Focus
Overview
Cystic Fibrosis Researcher explores how AI can responsibly summarize and contextualize medical research for a community that needs reliable, plain-language answers. The product pairs retrieval over credible sources with careful framing so users can trust what they read.
The problem
Cystic fibrosis research moves fast, but the people most affected by it — patients and caregivers — are left parsing jargon-heavy papers. The gap between cutting-edge science and everyday understanding creates anxiety and missed information.
My approach
Framed the core tradeoff up front: speed and accessibility versus medical accuracy and trust.
Designed an experience grounded in cited, credible sources rather than open-ended generation.
Prototyped conversational flows that surface plain-language explanations with links back to the original research.
Defined guardrails and clear disclaimers to keep the tool firmly in the "inform, not diagnose" lane.
Tools & methods
Curious about the details behind this work?
I'm always happy to walk through the decisions, tradeoffs, and outcomes in depth.
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