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AI that learns your gut. Every symptom, every meal, every pattern.
⚠ You are offline. First login requires internet.
Welcome back
Every entry you make teaches the AI more about your unique gut. Over time it builds a personal map so that you and your doctor can finally connect the dots.
Enter your patient code to continue
Physician access
Physician access
← Patient login
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App setup
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⚠ Offline — log will sync when reconnected
Analyzing your patterns with each entry
Our AI analyzes every entry for food–symptom patterns, learning what triggers your gut specifically. The more you log, the smarter it gets — giving your physician the insights to build a personalized care plan.
Step 1 — Pain severity right now
No painWorst pain
Step 2 — Symptoms
Select all that apply
Step 3 — What did you last eat or drink?
Gut AI analyzing your entry…
Step 4 — Last bowel movement
Stool consistency
Step 5 — Stress level right now
Activity at time of pain
On your period today?
Cycle tracking active
Period noted for this entry
Additional notes (optional)
My history
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Pain over time
Physician dashboard
PHYSICIAN
Physician Dashboard
Database connection
Tap to test connection
Enroll new patient
Generate a neutral code — do not include any identifying info. Write the code in the patient's chart.
Track menstrual cycle?
Patient code
Write this in their chart. Ask them to visit the app URL and enter this code to begin logging.
All patients
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Global Dictionary Gaps
Unmatched food terms aggregated across all patients. Multi-word phrases (2–3 word) are prioritized — they are more likely to be real food names missing from the dictionary.
Trigger Backfill
Re-tags all logs with empty triggers and saves them back to Supabase. Run this after updating the food dictionary.
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PHYSICIAN
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Avg pain
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Episodes
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Top trigger
Episode calendar — last 30 days
Severe
Moderate
Mild
Period
Gut AI — Trigger Correlation Engine
Bayesian co-occurrence · Tap any trigger to drill into subcategories
Cross-referencing food entries against symptom severity, timing, stress level, and menstrual cycle phase across all logged episodes. Each trigger shows percentage of high-severity episodes where that category was present.