Integrations
Devices are good at collecting. DN1 starts with a bounded source list, keeps source context visible, and avoids claiming broad device harmonization.
Plain data sources. No device theater. The set is useful because the system can compare signals instead of treating one device as authority:
Wearables: WHOOP and Polar H10.
Documents: lab PDFs.
Logs: manual entries and calendar context.
Same walk, three devices, three answers. Garmin appears here only as founder dogfood context. This artifact shows source context, not a current support claim or validated cross-device harmonization layer.
DN1 does not flatten conflicting device reads into one false consensus. Current copy is bounded to showing source context and a narrow founder-dogfood read.
The system gathers enough context before treating a change as meaningful. It should not be read as proving personalized normal ranges.
When you change something, DN1 watches the measurement window and names what appears to have moved, bounded by the data quality.
Useful signals can inform a draft plan. Noisy signals become the next measurement question.
Founder dogfood and cohort-interest input only until callback and freshness proof is complete.
Market context only. It is not part of the current public source list.
Deferred from launch and not named as supported public copy.
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