This is the bridge between the Intelligence Core scoring logic and the customer report workflow. It defines how BuckVisionAI turns property uploads, trail camera data, weather context, bedding logic, corridor logic, stand ranking, HuntScore, wind risk, and movement prediction into report-ready recommendations.
Intelligence Core Automated Report Builder Report Command Autonomous Intelligence Foundation Autonomous Report Gate Autonomous Intake Validation Autonomous Scoring Run Confidence Gate Report Draft Builder Final QA & Delivery ReadinessConfirm what data the customer provided and identify what is missing before analysis begins.
Apply property scoring logic to bedding, food, water, terrain, corridors, pressure, and access.
Rank stands and setup zones based on movement opportunity, wind fit, access safety, and timing.
Calculate HuntScore and apply automatic downgrade caps when wind, access, pressure, or evidence are weak.
Predict likely bedding departure, travel route, staging behavior, destination, and daylight movement odds.
Convert intelligence into a clear customer-ready report with action steps, reasoning, risk warnings, and next moves.
Customer Uploads → Intake Review → Property Scoring → Bedding Detection → Corridor / Funnel Detection → Wind & Access Risk Review → Stand Ranking → HuntScore Calculation → Movement Prediction → Founder / Analyst Review → Customer Report Output Every report recommendation must include: 1. Recommended location 2. Best wind 3. Best time window 4. Entry route 5. Exit route 6. Confidence score 7. Risk warning 8. Why the system chose it
BuckVisionAI reports should not be generic scouting advice. Every output should be connected to evidence, scoring logic, and a clear hunt decision the customer can actually use.