Building with an AI agent
Hand your coding agent one URL. The guide tells it what to read, in what order, and how to confirm every request shape against the live reference before writing a call.
https://raw.githubusercontent.com/Tachin-ai-Corporation/1health-app-guide/main/llms.txtRules of the road
The data model and constraints on one page. 1health is the only backend; no external database. setup/rules-of-the-road.md
Auth and launch
Launch payload → token →
authFetch. Exactly one server-side route:/api/token. setup/auth-and-launch.mdScaffold and prototype-to-app
Start from the app template, then map prototype screens to 1health features. scaffold.md · prototype-to-app.md
Recipes
About 125 reusable patterns in 14 categories: reading, writing, workflows, sharing, population health, communications, agreements and BAA, auth. recipes/INDEX.md
QA and definition of done
Sign a local build in as System Admin, Manager, and Employee against demo. No QA key on production. setup/qa-and-local-testing.md
API reference
The live, generated reference for every route, maintained by 1health. The agent guide links into it; it does not duplicate it.
- API ReferenceBrowse routes by version: v1 basement, v2 standard wrappers, v3 wrappers and new APIs.
- agents.1health.ioRoute manifest for 474 routes; per-route
agents.mdandexamples.mdwith exact request and response shapes. - API llms.txtThe tactical entry point for agents working against production docs.
- Versions and layersWhich API version to use for which job, and when to drop a layer.