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Light Environment

Indoor light is the dominant exposure most days. Eight to fourteen hours under LEDs, fluorescent, or mixed sources. The Light environment section on the ☀ Light & Sun page maps your indoor light reality so the AI can see the whole day, not just the outdoor half.

Rooms

Add the rooms you spend real time in (kitchen, living room, office, bedroom). Each room captures:

  • Primary light source — LED cool / LED warm / LED tunable / fluorescent / incandescent / halogen / candle / mixed / daylight only / unknown
  • Hours occupied per day — how much of the day you spend in that room awake
  • After-sunset use — flag for rooms where you spend evening time

Inline buttons let you measure straight from the survey:

  • 📏 runs the Lux Meter pointed at the room's average lighting
  • runs the Flicker Detector against the dominant light source

Measured values save into lightMeasurements and the AI sees them with confidence weights.

Screens

Add the screens you use regularly (phone, laptop, monitor, tablet, TV). Each screen captures:

  • Hours per day — total awake-screen time
  • Evening hours — after sunset (the biologically-expensive ones)
  • Blue-blocker enabled? — flux, night-shift, dedicated app, glasses, hardware filter
  • Brightness — high / medium / low

Derived deficit signals

Two axes drop out automatically and feed the AI:

  • Daytime indoor hours — total hours under artificial light during the solar day
  • LED + blue-evening exposure — junk-light contamination weighted by source type and post-sunset use

These complement the episodic Sun Sessions log. A user who walks 15 min outside but sits under LEDs for 11 hours has a different photobiological day than one who is indoors for 2 hours under candles in the evening — and the AI sees both.

What it shows up as

  • Indoor burden tier on the Light & Sun page (negligible / mild / moderate / high / severe), computed from screens-after-sunset hours, blue-blocker absence, dim-room hours, and number of rooms without daylight access
  • AI chat context — the always-tier prompt includes room count, screen count (with after-sunset / no-blue-blocker counts), light-audit count, indoor burden tier, and the d2 / d3 deficit axes. The AI can reason about your full day, not just outdoor exposure
  • Light Audit comparison — capture before / after snapshots when you change something (LED swap, dimmer install, blackout curtains added) and see the per-room delta side-by-side

Re-survey discipline

The survey is meant to reflect your usual week, not your perfect week. Re-open it once per quarter or after a move. The deficit signals smooth out over rolling windows; one week of vacation won't skew it.

Eye-level audit (Tool 8)

The Light Environment survey fills out fastest via the Eye-level audit tool — a 10-min camera walkthrough that captures lux + CCT per room as you stop in each one. See Light tools.

Coming next

  • Smart-bulb integration — read-only Hue / Lutron / Apple Home auto-detect of CCT and on-time per room
  • Per-room daylight ratio — derived from window size + glass-transmission test results

Released under the AGPL-3.0-or-later License.