Sleep

Sleep tracking alone tells you what happened. Context connects your sleep stages, HRV, temperature, and recovery to the behaviors and environment that actually drive sleep quality, so you can see what works for you and stop guessing.

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Why sleep tracking alone isn't enough

The problem
  • Your wearable tells you that you got 6.5 hours with low deep sleep — but not why.
  • Was it the late dinner? The afternoon coffee? The argument before bed? The timezone shift?

Sleep scores are outcomes. To actually improve sleep, you need to connect those scores to the behaviors, environment, and stress that shaped them.

Better sleep comes from understanding your personal patterns, not generic advice.

Playbook

  • Connect your wearable (Apple Watch, Oura, Whoop, Garmin) for automatic sleep stage tracking.
  • Tag your evenings with quick annotations: caffeine cutoff, last meal time, screen exposure, alcohol, stress level.
  • Track your environment — travel, timezone changes, room temperature, light exposure.
  • Compare windows — weeknight vs weekend, home vs travel, stressful weeks vs calm ones.

What you'll discover

  • Your personal caffeine cutoff (it's probably earlier than you think).
  • How late meals and alcohol actually affect your deep sleep and HRV.
  • The evening routines that consistently produce your best sleep scores.
  • How travel, seasonal light changes, and stress accumulation show up in your data.

How Context connects the dots

Context layers your sleep stages, HRV, temperature, and respiratory rate alongside everything else in your day.

What connects
  • Wearable data: deep, REM, light sleep stages, HRV trends, skin temperature, blood oxygen, resting heart rate.
  • Daily context: caffeine timing, late meals, alcohol, screen time, exercise intensity, stress levels, travel.

How it works

  • One Timeline with sleep data and daily events side by side.
  • Annotations to tag what happened before bed (late meal, stressful call, new supplement).
  • Trends to compare good sleep weeks vs bad ones and spot what changed.
  • AI Insights that surface your personal sleep correlations automatically.

Building a sleep optimization project

Real sleep improvement isn't a one-night fix — it's a 2–6 week experiment with clear signals.

Set up your sleep project

  • Pick one lever: e.g., dinner 2 hours before bed, no screens after 9pm, consistent wake time.
  • Track for 10–14 days: let the data accumulate before drawing conclusions.
  • Review with Then-vs-Now: compare your sleep metrics before and after the change.
  • Iterate: keep what works, test the next lever.

Common experiments

  • Caffeine timing (10 days): move your cutoff earlier by 2 hours; watch deep sleep %.
  • Evening routine (2 weeks): consistent wind-down; track sleep onset latency and HRV.
  • Meal timing (10 days): last meal 3 hours before bed; compare overnight glucose and sleep quality.
  • Light exposure (2 weeks): morning sunlight + evening blue light reduction; watch circadian regularity.

Sharing sleep data

Make conversations with doctors and coaches productive, not anecdotal.

Clinician Snapshot
  • A time-bound link with your sleep trends, HRV patterns, and relevant annotations.
  • Scoped to what matters — show sleep data without exposing your entire health history.
  • Expires automatically (revocable anytime).
Shared Awareness
  • Give a sleep coach ongoing access to your sleep metrics for weekly check-ins.
  • Share with a partner so they understand your sleep patterns and needs.

FAQs

Take control of the future

Join the Fulcra team to help us build the future of agent memory, and personal data sovereignty, Reach out below if you'd like to talk.