Context cards capture the health context behind your lab results: diet, sleep, environment, medical history, stress, goals, and more. They live in Insight → Manage → Context and can also appear in dashboard widgets when you add them to your overview.
New users do not need to fill every card before using getbased. Guided chat can route you to the relevant context only when it helps.
The nine cards
| # | Card | What it captures |
|---|
| 1 | Health Goals | What you are working toward — weight, energy, longevity, athletic performance, or a custom goal |
| 2 | Medical History | Your diagnoses and ongoing conditions, plus family history through grandparents |
| 3 | Diet & Digestion | Eating patterns, meal timing, dietary restrictions, and 10 digestion fields |
| 4 | Exercise | Frequency, types, intensity, and daily movement habits |
| 5 | Sleep & Rest | Duration, quality, sleep environment, and practices such as mouth taping or magnesium |
| 6 | Light & Circadian | Morning sunlight, UV exposure, evening screen habits, and grounding practices |
| 7 | Stress | Stress level, sources, and management strategies |
| 8 | Love Life & Relationships | Relationship quality and sexual health |
| 9 | Environment | Water quality, EMF exposure, air quality, home lighting, and toxin sources |
AI health dots and tips
Each card shows a small colored dot and a brief AI-generated tip (up to 12 words) tailored to your data.
| Dot | Meaning |
|---|
| 🟢 Green | This area looks supportive of your health |
| 🟡 Yellow | Something here may be worth paying attention to |
| 🔴 Red | This area may be contributing to out-of-range results |
| ⚪ Gray | Not enough information to assess |
Fill in the cards that are relevant now. The AI uses all nine cards when interpreting your lab results in chat and in Current Focus. Each filled card adds meaningful context that the AI cannot infer from numbers alone.
How to fill in a card
Open Insight → Manage → Context or a context dashboard widget, then click any card to edit it. Each editor uses pill-button selectors and tag chips for multi-select options. Click Save to apply your changes.
Medical history card
The Medical History card has two sections, and getbased uses them for different kinds of context:
Your conditions captures diagnoses you live with. Each entry includes a condition name, optional severity (major, mild, or minor), and an optional “since” year. The AI uses this to understand why certain biomarkers may be expected to deviate from population reference ranges.
Family history captures what runs in your family. Each entry has a relative, a condition, an optional age of onset, and an optional note (for example, “survived, on statin since 2010”). The relative list covers first-degree relatives and all four grandparents. More distant relatives are usually less useful. For example, a father’s heart attack at 52 may make a borderline LDL result more important to discuss.
The condition picker is shared between both subsections — type any name and accept an autocomplete suggestion, or enter free text if your condition is not listed.
EMF assessment (Environment card)
The Environment card also has an EMF Assessment for measured room-level exposure: electric fields, magnetic fields, RF/microwave radiation, dirty electricity, and DC magnetic deviation.
Use it when you have meter readings or a consultant report and want those readings included in AI context, export/import, sync, and recommendations. For the full workflow, see Log EMF measurements.
Supplement and medication timeline
Supplements are managed from the Supplements & Meds widget and the Body lens, not inside a context card. Each supplement entry has a start date and optional end date, forming a timeline that the AI can use to correlate supplementation periods with biomarker trends. The same timeline approach applies to medications you log.
When you chat with the AI, it can reason about whether a supplement you started three months ago might explain a shift in a marker from your most recent draw.
Diet contaminant warnings
The Diet & Digestion card can show food-contaminant warnings when your diet text matches foods from public lists. These are simple database checks, not AI diagnosis.
Current sources include public food-contaminant lists such as EWG Dirty Dozen / Clean Fifteen and PlasticList-style plasticizer findings. getbased uses the warning as context: it can flag that a frequently eaten food may deserve sourcing, washing, peeling, filtering, or rotation attention, but it does not claim that the food caused a lab result.
Contaminant warnings are intentionally conservative. They are there to start a better question — “is this exposure worth reducing?” — not to make your diet smaller or more anxious.
How context reaches the AI
When you send a chat message or Current Focus refreshes, all nine cards plus the freeform notes attached to profile context are included in the context. Use freeform notes for anything that does not fit neatly into a structured card: recent travel, a new medication, unusual stress, or anything else relevant.
This helps the AI connect lab results with things you have told getbased, such as sleep, diet, stress, environment, supplements, or recent changes.
Change history
getbased automatically timestamps every change you make to a context card. When you switch from Mediterranean to carnivore diet, or change your stress level from high to moderate, the previous value and the date of the change are recorded.
This timeline is included in the AI context so the AI can reason about temporal correlations — for example, connecting a dietary change on March 1 to a shift in your LDL two weeks later. You do not need to do anything to enable this; it records automatically whenever you save a card.
Change history is included in your JSON export and import.
Context cards never leave your device except as part of AI API calls sent to your chosen provider. See AI providers and Encryption for details on how your data is handled. 