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The Light environment section records the rooms, sources, screens, and timing patterns that make up a typical indoor day. getbased turns those answers into a screening summary that can sit beside sun sessions, sleep, wearable, and lab context. This is a self-reported heuristic, not measured light dose, a clinical score, or a diagnosis. A higher burden tier identifies patterns worth reviewing; it does not prove harm or explain a symptom.

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Add rooms

Add rooms where you regularly spend time. A room can include:
  • Its primary light-source category, such as warm or cool LED, fluorescent, incandescent, mixed, daylight-only, or unknown
  • Approximate occupied hours
  • Whether it is used after sunset
  • Saved readings from the Light tools, with the capture method and confidence
Use Lux meter for a supported sensor, entered meter reading, or calibrated camera estimate. Use Flicker detector only as a camera banding screen. The Home audit is the quickest way to create relative room-brightness observations during one held-exposure walkthrough.

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Add screens

Record the phone, laptop, monitor, tablet, or television patterns that are relevant to your usual week:
  • Approximate daily use
  • Approximate use after sunset
  • Night-mode, filter, or glasses choices
  • A broad brightness setting
These are disclosure fields, not measurements of spectral exposure. Screen content, viewing distance, room light, hardware, and user settings can all change the actual light reaching the eye.

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Indoor-light screening summary

The summary combines selected patterns such as after-sunset screen time, time in rooms used after sunset, daylight access, and reported source types. It reports a small set of qualitative tiers and the observations that contributed to them. Use the result to remember the environment you described and compare changes. For example, you can save before-and-after room snapshots after moving a lamp or changing curtains. A difference in this heuristic is not a measured biological change.
Answer for a typical week. Review the record after a move, schedule change, or meaningful lighting change. Missing fields mean missing context, not a healthy or unhealthy result.

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AI interpretation

Room, screen, and burden interpretations can be generated from the active AI provider. The AI receives only the selected Light & Sun context and the compact observations prepared by getbased. It should describe the screening picture and uncertainty without turning it into measured dose or a medical conclusion.
Read the maintained instructions for a room, screen, or indoor-light summary.
A photosensitizing-medication flag is included as a general caution. The app does not invent a universal indoor-light sensitivity rule or numeric medication multiplier. Follow medication guidance and ask a clinician or pharmacist about personal reactions.

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Context and storage

Light environment data belongs to Insight → Manage → Context → Data sources → Light & Sun context. With that source enabled, AI context can include:
  • Room and screen counts
  • Reported after-sunset use and filter choices
  • Source categories and saved measurement methods
  • The qualitative indoor-light screening tier and contributing patterns
Turning the source off keeps these records out of new in-app AI context without deleting them. Records stay in browser storage and follow your encryption, export, and opt-in sync settings. Camera frames remain local and are discarded after processing.