Build health context for AI.
Keep a personal timeline of what happened: what you tried, what changed, and what else was going on in your life.
Local-first. No account needed to start.
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Design notes
A two-layer design
App is made of two layers: Context layer and Experience layer.
Existing health signals are useful but incomplete/noisy
Labs, wearables, genetics, clinical records, and trackers all matter. But they are noisy, partial, expensive, burdensome, etc..
Context layer's core object: A timeline based on natural-language
Natural text is the native format for nuance, uncertainty, and variable granularity. LLMs make this format newly practical because they are good at processing text in high volume and connecting dots.
Experience layer
Main AI features the app implements. They are optional and the app should not lock the user's health context into one AI / agent.
Portability
The Context layer should be easy to export and merge with other signals.
Privacy
Local-first by default. No login required for the core manual timeline. Export available.
Roadmap
Roadmap
Now
- Manual timeline and fact editor
- Export your context as a prompt
- Local-first storage, no login
- Connect Apple Health data to timeline
- Cloud sync (opt-in)
Next
- Web app
- Timeline fact creation with agent/LLM
- Ask AI and do research in app (paid plan)
- MCP / connector / plugin
- Import lab results, genetics, and other context
Later
- Better Apple Health and other wearable data integration
- Audio read aloud of information in app
FAQ
Common questions.
Local or cloud?
Local-first by default. The manual timeline works fully offline with no login. Cloud sync and AI features are opt-in.
How will pricing work?
The core timeline stays free. Paid plan for AI features. Details coming soon.
Are there AI features in the app?
Yes, but optional. Extraction AI helps turn notes into editable facts. It only runs in cloud mode.
Will it be open source?
It's on the roadmap, but not a top priority, unless enough people ask for it.
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