A geospatial career journey
I recently finished implementing a network analysis through PostGIS and pgRouting, exposed through an MCP interface so it can be called by AI. I have done versions of this as a Lambda and as a Google Cloud Function. Before that, I did it in Node. Before that, in ASP.NET with a different routing library. Before … Continue reading Twenty Years, Part Three
This post summarizes themes that emerged across multiple sources curated by GeoFeeds during April and May 2026. Taken together, these themes suggest that geospatial AI (GeoAI) is moving through a familiar stage in the life of an emerging technology. The early question was whether it could do useful work. The current discussion revolves around what … Continue reading Geospatial AI State of Play, April–May 2026
In a post last week, Open Data and AI, I discussed how open data projects are facing a new kind of consumer: AI-automated systems that can pull public data continuously, at scale, and in patterns the original infrastructure was never designed to support. OpenStreetMap is one of the clearest examples. It is globally important, community … Continue reading Prototyping AI-Ready OSM
Open data projects are seeing a new kind of consumer in the form of automated systems that can consume public data continuously, at scale, and through access patterns that were not designed with them in mind. People downloading data, building products, or creating derivative services have always been part of the bargain. AI-driven consumption, however, … Continue reading Open Data and AI
My recent work has gotten me thinking about the relationship between skills, as in Claude skills rather than personal ability, and Model Context Protocol (MCP) servers. I am building MCP servers for projects and starting to put together skills that my teams can share across engagements. That work has also overlapped with GeoFeeds, where I … Continue reading A Familiar Pattern for MCP and Skills