AI Agents for Geospatial Automation
A 3-part technical series on how AI agents actually automate legacy GIS workflows. Not chatbots. Not copilots. Agents that do the work.
The Dual-Agent Architecture
Technical deep-dive into how Architect and Auditor agents cross-validate for production safety. Real error patterns from country-scale deployments.
- →Pre-change research protocol
- →Post-change validation checks
- →Self-sustaining correction loops
When AI Agents Aren't the Answer
Credibility through honesty. The workflows that shouldn't be automated, and how to know the difference.
- →Judgment-heavy vs execution-heavy
- →The documentation prerequisite
- →Better replaced than migrated
Start with Part 1:
Beyond the Chatbot
Learn why generic LLMs fail at GIS automation and how dual-agent architectures solve the validation problem that makes single-agent systems dangerous for production workflows.
Geospatial on Databricks
Practical guide for teams running geospatial on Databricks. Volumes gotchas, Jobs API patterns, and critical mistakes to avoid.
ArcPy to Cloud Migration
Migrating from desktop GIS to cloud-native pipelines. The business case, open-source equivalents, and platform selection.