Transit Platform
Transit is not only a dashboard. It can also act as the user-owned health data layer for personal AI agents, coaching products and external tools that need authenticated biomarker context, integration state and AI-generated outputs.
What developers get
Transit exposes the health context external tools actually need right now: normalized biomarker information, wearable sync status, AI outputs and ingestion routes. The goal is simple: let agents and tools reason over a user's health data without rebuilding the full stack.
Health context
Give external tools the user's current biomarker state, interpretation context and latest meaningful changes.
Sync state
Read whether Whoop, Strava, Apple Health and other sources are connected, fresh and useful enough for downstream reasoning.
AI outputs
Use Transit-generated summaries and recommendations as structured inputs for your own user experience.
Who it is for
The best initial fits are products and builders who already have a user relationship and want to enrich it with grounded health context.
A user's personal agent can read Transit context and turn it into proactive weekly nudges, alerts and planning help.
Coaching workflows can use Transit as the interpretation layer underneath their own product or service experience.
Recovery, nutrition and planning tools can plug into richer biomarker and wearable context without building a dashboard from zero.
Example workflows
Workflow 01
An external coach or agent reads recovery, biomarker and adherence context and sends a weekly summary with priority changes.
Workflow 02
A tool watches for degraded sleep, HRV or biomarker trends and notifies the user before the issue becomes obvious in day-to-day behavior.
Workflow 03
Transit provides the context layer and AI output scaffolding so another interface can explain what changed and why it matters this week.
Current API surface
Category 01
Biomarker points, derived marker status, reference profile and longitudinal context.
Category 02
Connected sources, sync freshness, ingestion quality and normalized activity pipelines.
Category 03
Transit Companion outputs and narrative layers that can be consumed by downstream tools.
Category 04
Apple Health bridge and other routes that move fresh user data into the Transit context layer.
Onboarding path
Step 01
Start with the same user account and dashboard that powers the core Transit product.
Step 02
Sync wearables, upload labs and make sure the health context is worth reasoning over.
Step 03
Start with health context, sync status and AI outputs before you expand into richer ingestion flows.
Step 04
Do one thing well first: weekly summaries, proactive alerts or decision support for a clear user segment.
Primary story
The platform does not replace the product wedge. It extends the same trusted decision layer into other tools after the core user story is clear.
Next step
Bring one concrete user problem, one current interface and one clear reason Transit should be the health-context layer underneath it.