Thunderhead Explorer

Continuing the GenAI-with-a-GeoSpatial-twist thread I started a while back. Back then, I had a language model reason about geospatial logic. This time, I wanted it to actually do the work—on my open project, inside my running ArcGIS Pro session, while I watch. The result is ProCowork , an experimental native ArcGIS Pro add-in that embeds the Claude Code engine in a dockable chat panel. I can ask it to list layers, add and calculate fields, select features, run a buffer, or write a more specialized ArcPy script. Claude generates the code, the add-in runs it against the live project, and the code and results come back into the same panel. For example, I can type: “List the layers in the current map.” “Add a DOUBLE field POP_DEN to Parcels and set it to POP / AREASQMI.” “Select parcels where POP_DEN > 5000 and zoom to them.” “Buffer Roads by 100 meters and add the result to the map.” The panel is useful, but the interesting part is ...

 Hello, everyone. It has been a while since my last post, and I wanted to explain my absence. I have been working on demanding client projects requiring confidentiality, so I couldn't share anything. But now I'm back and excited to dive into something new and exciting.  Generative AI (GenAI) has gained much attention lately, but I'm taking it to a different level by merging Large Language Models (LLMs) with insights from geospatial analysis. It's GenAI with a GeoSpatial twist. I want to introduce a simple project, " ReAct geospatial logic with Ollama ," which uses resources such as the Python Langchain and Ollama . I'm thrilled to be back and can't wait to start this new journey with you. Keep an eye on this space for future updates, tips, and unique code snippets. Your feedback and questions are valuable, so please don't hesitate to reach out. I'll see you in the next post, and as usual, you can check out the source code here .