Pick a real city decision and enact it. The effect spreads out across the map, street by street, to twelve AI residents who live through it and tell you how it went. Then get a plain-language briefing for any ward.
Each one sends its ripple out in its own colour.
Faster buses for one of the TTC's busiest corridors — at the cost of a car lane.
New transit makes neighbourhoods more desirable. Who gets to stay?
Toronto has 500+ cool spaces. Can the people who need them most actually get to one?
Describe a policy in plain English. AI picks the closest model and sets it up. Rough sketch, not a forecast.
Composites built from 2021 Census patterns for their neighbourhoods.
A transparent model computes trip times, rent burden and heat risk for every household, period by period. Every number can be explained.
Each resident is an AI agent that reacts to what happened to them. Call any of them and ask why.
Generate a neutral ward briefing for residents, journalists or councillors, with sources and limits.