Custom Markers

Get Based has a built-in schema of 287+ biomarkers across 15 categories. When you import a PDF that contains a result the app doesn't recognize — a specialty marker, a newer test, or one with an unusual name — it's automatically created as a custom marker rather than being discarded.

How Custom Markers Are Created

During PDF import, the AI identifies any results that don't match a known marker. For each unrecognized result, the AI suggests:

• A category to place it in (e.g., biochemistry, hormones)
• A name for the marker (in plain English)
• The unit it's measured in
• A reference range (minimum and maximum) based on the lab report or medical knowledge

These suggestions appear in the import preview with a blue "New" badge. You can review them before confirming.

Where Custom Markers Appear

Once created, custom markers are treated the same as built-in markers throughout the app:

• They appear in charts with reference range bands and trend detection
• They show up in data tables and the marker glossary
• They're included in AI chat context, so the assistant knows about them when you ask questions
• They're exported in your JSON backup and restored on import
• They're included when you import future PDFs — the AI uses them to avoid creating duplicates

Category Assignment

If a custom marker belongs to a category that doesn't exist yet in the built-in schema, a new category is created automatically with a bookmark icon. It appears in the sidebar alongside the standard categories.

Editing Custom Markers

Custom marker definitions (name, unit, reference range) are set when first created and won't be overwritten by future imports of the same marker. If you need to update a definition, you can do so by editing your exported JSON file and re-importing it.

Niche and specialty markers

Custom markers work well for less common tests like omega-3 index, micronutrients, organic acids, or functional medicine panels that aren't in the standard schema. Import the PDF and the AI handles the mapping automatically.

Duplicate prevention

The AI is aware of all existing custom markers when processing new PDFs. It won't create a second definition for a marker that already exists, even if the name appears slightly differently across different lab reports.