AskFirst
A consumer app that takes a screenshot or paste of any AI health answer and tells you, in plain language, which parts of the response the AI is reliably good at and which parts you should run past a clinician before acting on.
health-anxious adults who use ChatGPT or symptom-checker apps before (or instead of) seeing a doctor
- per-condition reliability heatmap (e.g., 'drug interactions = high, rash ID = low')
- prompted follow-up questions designed to surface missing facts a clinician would ask
- nearby clinic and pharmacy lookup with wait-time estimates
- family-shared history log of symptoms and advice you've checked
The article argues medical QA is uniquely hard because the visible answer hides upstream reasoning about which fact matters; patients using AI for health questions today have no signal for when to trust the answer.
Atlantic, Salon, MIT Tech Review and Consumer Reports all document a large, anxious user base seeking reassurance from ChatGPT for health questions, with OpenAI launching a dedicated ChatGPT Health tab in Jan 2026 validating the behavior.The ChatGPT Symptom Spiral ↗Is ChatGPT Health the new WebMD? ↗Can You Trust AI for Health Questions? ↗
No dedicated consumer app for auditing AI health answers surfaced in search; closest competition is OpenAI's own trust/guardrail work in ChatGPT Health, which could subsume the use case but is not yet a third-party verifier.Introducing ChatGPT Health - OpenAI ↗"Dr. Google" had its issues. Can ChatGPT Health do better? ↗
Kantar finds only about a third of health-conscious consumers pay for health apps and 63% of those paying subscriptions go to fitness/exercise, not medical QA tools; health-anxious users are a narrow, discretionary-purchase niche.How willing are consumers to pay for health and fitness apps? - Kantar ↗Willingness to pay for health apps, its sociodemographic correlates ↗
Structural driver: health anxiety is persistent, AI health queries are accelerating, and increasing medical-AI regulation creates durable demand for an independent trust layer even as underlying models improve.Introducing ChatGPT Health - OpenAI ↗"Dr. Google" had its issues. Can ChatGPT Health do better? ↗
Screenshot/paste UI is trivial, but the core 'which parts are reliable' judgment requires medical-grounded evaluation, clinician review pipelines and uncertainty modeling — buildable with current LLMs but needs domain expertise and ongoing maintenance.