Health Information Explainer — by an AI council
Understand a health topic in plain language to ask better questions. Four rival AIs debate it and hand back: A clear, balanced explainer plus the questions to ask a professional.
A clear, balanced explainer plus the questions to ask a professional.
Signed off by an independent Final QA audit — with a “verify before you rely on this” list, never a black box.
Why this team
Health information online fails in two directions — alarmism and false reassurance — so the seats are chosen to hold the middle: the Health-Literacy Explainer translates the topic into plain language without dumbing it down, the Data Skeptic grades the evidence behind each claim, and the Steelman presents fairly the perspectives a one-sided article would flatten. The Risk Officer owns the red-flag list — the signs that mean stop reading and see a professional promptly — and the Synthesiser turns it all into the questions worth asking a clinician.
Each seat runs on a different frontier model — GPT, Claude, Gemini, Grok — so it’s a genuine cross-model review, not one AI in costumes. How a run works →
What the debate sounds like
An illustrative excerpt — A 55-year-old has been told their blood pressure is “borderline” and wants to understand what that actually means before a follow-up appointment in three weeks.
Plain language first: “borderline” means the readings sit in a zone where guidelines do not automatically prescribe medication but no longer call the number normal — a watch-and-modify zone. What it does not mean is a diagnosis, or nothing. The useful mental model is a dial, not a switch: lifestyle factors move the dial in both directions, and the follow-up exists to see which way yours is moving.
Evidence quality varies sharply across what this person will read online. Well-established: the link between sustained high readings and long-term risk, and the effect of specific lifestyle changes. Weaker or oversold: single-food fixes and supplement claims, which dominate search results. Also worth knowing: a single clinic reading is a noisy measurement — guidelines themselves prefer repeated or home readings for exactly that reason.
Both clinical instincts deserve a fair hearing, because the person will encounter both: the cautious view — treat borderline seriously now, because early habits are cheaper than later medication — and the conservative view — avoid medicalising a number that repeated measurement might normalise. These are legitimately different philosophies of the same reading, and the choice between them is precisely what the appointment is for.
Questions
Will this diagnose me or interpret my test results?
No — the brief is explicitly for understanding, not diagnosis or treatment, and the deliverable carries that boundary prominently. What it does is translate the topic, grade what is well-evidenced versus contested, and arm you with specific questions — so the professional consultation you do have is twice as useful.
How is this safer than searching my symptoms online?
Search rewards the alarming and the miraculous — the two failure modes of health content. Here, multiple models check each other, an explicit evidence-grading pass separates established findings from noise, and a red-flag list tells you what genuinely should not wait. Structured caution, instead of doomscrolling.
What kinds of health topics work best for this brief?
Understanding a condition or term you have been given, weighing the considerations around a common test or treatment decision before discussing it with your doctor, or making sense of conflicting claims about nutrition, sleep or exercise. Anything acute or symptomatic belongs with a clinician first — and the council will say so.
Your material is used only to run your review — never to train public models. Encrypted in transit and at rest. Security & privacy →
Want full control — pick your own minds, set the depth? Open the full council →