toba_apex

SomaMap — find the words for what you feel You know what you feel. Finding the words is another matter. SomaMap is a vocabulary and journaling tool that helps you describe a physical sensation in your own words and keep those words somewhere you can find them again. You tap where you feel it, describe it in a sentence or two, and answer three short questions about how it feels — spot or spread, steady or wave-like, what it reminds you of. A Muse Spark Open model reads what you wrote and chooses which of SomaMap's own reviewed questions comes next, and offers a handful of plain words you may tap or ignore. The wording of every question comes from a fixed, reviewed bank: the model selects, it never writes the questions, and the region on the card comes from the app's own fixed body map. What comes out is a card with exactly five fields — where, the words you chose, what it feels like, how long, and your own sentence — and nothing else. There is no field for what a sensation might mean, because the schema has no such field: a model reply carrying a sixth key is rejected whole and reviewed fallback wording stands in. The journal keeps your cards and counts the words on them, and says plainly what those numbers are: counts of your own words, and nothing else. SomaMap does not diagnose, interpret or advise, and it never says what a sensation means. Every screen says so. A check-in works without an account; signing in is what keeps a card. Live at https://somamap-ebon.vercel.app https://github.com/tobacreator/somamap