AI-powered reactivity analysis tool. Log each reactive incident (trigger, distance, your dog's response, your handling), and the AI identifies patterns in triggers, optimal thresholds, and high-risk situations
AI generates exercises for whichever evidence-based method you prefer
Reward dog for looking at trigger calmly. Builds positive association.
Reward dog for looking away from trigger. Teaches self-control.
Let dog make choices (approach/retreat), reward calm behavior.
Controlled exposure, reward non-aggressive behavior with trigger removal.
Record trigger (what caused reaction), distance, your dog's response (alert/whine/lunge/meltdown), and outcome
AI analyzes trigger characteristics, environmental context, time of day, and arousal patterns across incidents
Specific protocol (LAT/BAT/Engage-Disengage) with optimal working distance, setup, and troubleshooting
Tell us what happened and we'll analyze the trigger and plan your counter-conditioning work
Threshold breach assessment (was dog sub-threshold?), reactivity type evaluation (fear vs frustration), and handling effectiveness
Optimal working distance for training, today's distance vs threshold, breach severity, estimated sub-threshold distance
After 5-10 incidents: AI identifies trigger patterns (big dogs vs small?), environmental factors (narrow sidewalks worse?), time of day effects
Specific protocol (LAT/BAT/Engage-Disengage) with setup, procedure, success criteria, and troubleshooting
Threshold distance trends (improving?), reaction intensity trends, recovery speed improvements, and wins to celebrate
Every walk is a battle. Lunge/bark at dogs, bikes, people. You try to avoid triggers, but you can't always predict them. You're not sure: • Is reactivity getting better or worse? • What distance triggers reactions (20 feet? 50 feet?)? • Are morning walks better than evening? • Does fatigue lower threshold? Without data, you're guessing. And guessing leads to threshold breaches that set you back weeks. The Reactivity Monitor tracks every incident, identifies patterns, and tells you exactly what distance and context work for counter-conditioning.