Mosquit

MosQuit is an AI-powered command center where four competing agents debate in real-time to decide which neighborhoods to fumigate during dengue outbreaks. When cities face limited resources - 4 teams, $30k budget, 48-hour window - MosQuit's agents argue from different perspectives: the Epidemiologist pushes for aggressive intervention, the Budget Officer questions costs, Operations ensures logistics work, and Public Risk considers community impact. Built with Claude Opus 4.7, MosQuit showcases: - Extended thinking for transparent agent reasoning - Multi-agent orchestration with visible debate and disagreement - Prompt caching for efficient 4-agent coordination - Real satellite data integration (Sentinel Hub, Open-Meteo) The result: a consensus plan with documented trade-offs, a 7-day outbreak simulation, and the answer to "how many lives did we save?"