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DETAIL 02Multi-agent decision supportTOP 500 / 25,000

MosQuit

Four specialized agents debate mosquito-control resource allocation for public-health departments, with satellite intelligence and 7-day outbreak simulation.

ROLE

Creator

YEAR

2026

PART

LATTICE

STACK

Claude API · Multi-agent · Satellite data

Top 500 / 25,000

Anthropic global

7-day simulation

Forecast window

2.1

The problem

Public-health departments allocate mosquito-control resources under uncertainty: incomplete field data, shifting weather, competing priorities. A single model gives a single opinion. MosQuit stages a structured debate instead.

2.2

The system

Four specialized agents — epidemiology, environment, logistics and budget — argue over the same decision, grounded in satellite environmental data. A 7-day outbreak simulation stress-tests each proposed allocation before a human signs off.

Asset pending — Screenshot of the agent-debate view with the four agents' positions

2.3

The result

Selected in the top 500 of more than 25,000 proposals in Anthropic's global hackathon.

Asset pending — Screenshot of the 7-day outbreak simulation map

Next project — 03

Javier