SERIES2 OF 3 PUBLISHED

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.

3 parts

50 min total

AVAILABLE18 min

Beyond the Chatbot

Why generic LLMs fail at GIS and what actually works. How AI validation makes production-grade automation possible.

→Why 'chat with your data' misses the point
→The Architect + Auditor pattern
→When AI agents aren't the answer

AVAILABLE20 min

Real Architecture, Real Failures, Real Results

The actual architecture (LangGraph + sandbox), failure modes (40% of first attempts), and when to use humans instead.

→Multi-agent orchestration pipeline
→Honest failure modes
→When AI agents make things worse

COMING SOON12 min

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

BEGIN THE SERIES

Start with Part 1:
Beyond the Chatbot

Learn why generic LLMs fail at GIS automation and how AI validation solves the accuracy problem that makes single-model systems dangerous for production workflows.

Read Part 1 Get Workflow Assessment

RELATED SERIES

SERIESPart 1 Available

Geospatial on Databricks

Practical guide for teams running geospatial on Databricks. Volumes traps, Jobs API patterns, and critical mistakes to avoid.

SERIESParts 1-2 Available

ArcPy to Cloud Migration

Migrating from desktop GIS to cloud-native pipelines. The business case, open-source equivalents, and platform selection.