A developer’s guide to analyze_image , analyze_text , and the future of location intelligence. The motivation You’re a developer. You know that satellite imagery is everywhere. But most GeoAI solutions are either: Black‑box desktop tools with 500 buttons Intelligence‑grade surveillance systems you’d never touch Overhyped pixel classifiers that can’t tell a port from a parking lot We wanted something different: A code‑first, ethical, and actually useful geospatial AI that runs in a Jupyter notebook. So we built it with: arcgis.ai.analyze_image – to read satellite photos arcgis.ai.analyze_text – to write structured reports A few dozen lines of Python, and ArcGIS Location Platform (beta AI) No mouse clicks. Just code. In this post, I’ll show you exactly how it works – including real snippets from our platform.py – so you can steal the ideas (or the whole notebook) for your own projects. The Core Idea (Super Simple) User pans a map to any location. We export that exact view as a georeferenced PNG.…