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Context cards capture the health context behind your lab results: goals, medical history, diet, sleep, exercise, stress, relationships, environment, 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. Each card starts with the most useful questions. Open the later sections only when you want to add more detail, and use the note field when none of the structured options quite fit. The card grid shows how many areas you have added, a readable summary of each filled card, and—when available—a short assessment connected to your lab data.

The nine cards

AI health dots and tips

Each card can show a colored status, a concise profile summary, and a brief marker-linked AI tip. The status is an interpretation aid, not a diagnosis. Summaries, dots, and tips are cached by card. Only cards whose content or relevant health data changed are recalculated, so getbased does not call the AI provider on every page load.
Fill in the cards that are relevant now. Filled cards add context the AI cannot infer from numbers alone. You can also turn the whole Insight Context Cards source on or off from Insight → Manage → Context → Data sources.

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. Complete only the sections that apply to you, add a note if needed, then click Save.

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 or had previously. Each entry includes a condition name, optional priority/severity, current status, 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, half-siblings, all four grandparents, and another maternal or paternal relative. 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 available to AI context, export/import, sync, and recommendations. EMF readings reach in-app AI only while Insight Context Cards are enabled in Manage → Context → Data sources. For the full workflow, see Log EMF measurements.

Supplement and medication timeline

Supplements and medications are managed from the Supplements & Meds widget and the Body lens, not inside a context card. Each record can have multiple dated periods, a personal schedule, dose changes, structured product ingredients, and optional source quality evidence. Current items stay on the dashboard while paused, cycled, and ended periods remain available for chart and AI context. When you chat with the AI, it can reason about whether a therapy period overlaps a marker shift while keeping source-reported product results separate from your personal lab results. See Track supplements and medications.

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, getbased includes filled cards only if the Insight Context Cards source is enabled. Current Focus uses a compact subset of profile context and honors the same Insight Context Cards switch. Open Insight → Manage → Context → Data sources to control that source. The same panel has separate switches for Supplements & Medications, Blood marker results, genome context, Light & Sun, and Wearable recovery 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. When the relevant source is enabled, this helps the AI connect lab results with things you have told getbased, such as sleep, diet, stress, environment, supplements, or recent changes. An explicit answer is different from an unanswered field. For example, selecting None for bloating or Normal for appetite tells the AI that you ruled out that symptom; leaving the question unanswered omits it. Skin type from Light & Circadian is included as context too. Agent Access uses the same complete context formatter, including those explicit negative/normal answers and skin type. It is controlled separately from the in-app Data sources switches: turn Settings → Agent Access off when you do not want an external agent to receive the encrypted summary.

Demo profiles and AI cost

The built-in demo profiles include precomputed card summaries, statuses, and tips, so opening and exploring them does not spend AI tokens.
  • With no provider, or while AI is paused, the demo keeps using those precomputed insights.
  • A locally hosted model updates changed demo cards automatically without paid-provider charges.
  • A cloud or otherwise paid model stays off for demo-card recalculation until you click Enable live AI and confirm the selected provider and model. That choice lasts only for the current browser session and is cleared when you reload, switch provider or model, or turn live AI off.
If you edit a demo card while live AI is off, getbased keeps your edit and marks the affected demo insight as not recalculated. This is expected: enable live AI if you want a new assessment, or continue exploring without spending tokens.

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 AI context when Insight Context Cards are enabled, 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 record it; it records automatically whenever you save a card. Change history is included in your JSON export and import.
Context cards remain in browser storage by default. They cross the browser-storage boundary only through a feature you choose, such as an AI request, encrypted sync, profile sharing, Agent Access, or an export you save. See Privacy, AI providers, and Encryption for the relevant boundaries.