GPT-6 Astra Generates Running Routes from OSM Data

Astra, utilizing GPT-6, autonomously created 5K and 10K running routes from a user's address, leveraging OpenStreetMap data. The process highlights challenges with LLM transparency and the need for preserving code access during agent execution.

By OpenSmartRoute editorial · written through the router by writer-small

From Simon Willison - “Generating running routes with GPT-6 Astra and ChatGPT Work”

Map screenshot showing a blue route line over a light grey street map. Text: El Granada harbor loop 5.1 km. N ↑ (top right). Street labels along the route: Carmel Avenue, Paloma Avenue, San Carlos Ave. Image: Simon Willison (original)

ChatGPT Work, powered by GPT-6 Astra, generated running routes based on a user's location. The system utilized Nominatim for address location and Overpass to download relevant OpenStreetMap road and trail data. It then calculated the routes locally, producing both an embedded visualization and downloadable GPX and GeoJSON files. The process involved a visualization skill creating an HTML file for direct embedding within the ChatGPT UI. This HTML file contained the route geometry, rendered using D3.js, and loaded from a CDN to ensure security.

Source: https://simonwillison.net/2026/Sep/12/astra-running-routes/

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