Helix Health: AI health-intelligence layer that unifies your signals & suggests next steps.
An AI health intelligence layer that connects your signals, uncovers what’s driving your health, and suggests the next best step.
Link to live site: https://www.tryhelixhealth.com
Description
Every health app shows you what. Helix shows you why. Helix Health is an AI health-intelligence layer that connects fragmented signals (wearables, bloodwork, symptoms, and medications) into a single causal model, then traces the most plausible chain behind a user's question, cites their own data for every link, and surfaces the single highest-impact action to take next.
Check out the Dashboard page here: https://www.tryhelixhealth.com/dashboard
Full Stack Development
I built Helix Health, a full-stack Next.js 15 (App Router) app that turns raw health data into explained, evidence-cited insights. At its core, Claude Opus is forced through a typed tool call, with output validated by Zod and retried on failure, to produce a ranked causal-chain graph. It's grounded against hallucination by a hand-curated knowledge base of 45 physiological priors assembled into a per-request evidence packet. I designed the full Supabase/Postgres backend (normalized tables under row-level security with private file storage) and three API routes: Claude reasoning over the evidence packet, Claude Haiku extracting biomarkers and reference ranges straight from an uploaded lab PDF, and intervention logging that triggers re-reasoning. On the frontend, the signature feature is a self-drawing causal-cascade visualization built in Framer Motion that renders the reasoning as an animated dependency graph.
Check out the Data page here: https://www.tryhelixhealth.com/data
Tools Used
Next.js 15, React 19, TypeScript, Tailwind CSS v4, Framer Motion, Anthropic SDK (Claude Opus 4.8 and Haiku 4.5), Zod, Supabase (Postgres, Auth, Storage, RLS), Vercel.
Outcome
I shipped a working AI health-intelligence MBP. It has two genuinely live AI surfaces: grounded causal reasoning over a structured evidence packet, and Claude reading biomarkers directly from an uploaded bloodwork PDF.
Link to live site: https://www.tryhelixhealth.com