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Zoning Pal: AI Bylaw Parser
This talk demonstrates Zoning Pal, an AI tool that parses Toronto bylaws to provide automated zoning analyses, including permitted uses and development constraints.
We’ll demo Zoning Pal, an AI-powered zoning assistant that allows users to search any Toronto address and receive an automated zoning analysis. The system parses local bylaw PDFs, identifies zone codes and suffixes, retrieves relevant sections, and generates a zoning summary with permitted uses, parcel constraints, and development scores.
Our agent runs on a Claude-backed FastAPI endpoint, built without LangChain, and handles Toronto’s complex bylaw structure through a custom ingestion and suffix-parsing pipeline. We’ll walk through the architecture—from map interaction to AI-generated PDF—sharing working code, implementation logic, and the messy lessons we learned while trying to make zoning understandable.