WeatherTact: Forecast-to-Action Field Planning

Weather forecasts describe conditions, but they rarely tell field teams how to adjust their work safely. WeatherTact bridges this gap by turning location-based forecasts into structured and actionable field-operation plans. An Admin selects a work location from the map, chooses the type of work, assigns workers, and defines the schedule. WeatherTact retrieves hourly Open-Meteo data and sends the work context to Featherless AI. The AI produces a structured plan containing the recommended work sequence, timing, recovery periods, weather-related controls, required equipment, risk explanations, and stop-work conditions. Before being saved or distributed, every AI response is validated by the system and reviewed by an Admin. Approved plans are then shared with assigned workers through a simplified briefing interface. Workers can acknowledge their assignments and report changing field conditions. When conditions change, WeatherTact can generate an updated plan using the latest forecast and worker reports. The application uses Supabase for authentication, organization-isolated data, role-based access, and server-side AI orchestration. It was built with Native Builder and designed as decision support not as an automatic work permit so final operational authority always remains with the responsible human supervisor