GeoAI Playbooks: A Dual-Track Guide to Geospatial AI for Decision-Makers and Developers

GeoAI Playbooks is an innovative dual-track open-source guide. Through two complementary books—GeoAI in a Meeting (for decision-makers) and GeoAI in a Day (for developers)—it addresses the cognitive gap between the strategic and execution layers in geospatial AI adoption, providing a complete path from strategic planning to engineering implementation, and innovatively introduces human-AI collaborative agentic workflows for content generation.

Geospatial AI has broad application prospects, but enterprises face structural challenges during adoption: decision-makers focus on return on investment, risk management, and organizational capacity building, while developers care about data engineering, model selection, and deployment architecture. The differences in language and focus between the two groups lead to projects either lacking strategic direction or failing to be implemented.

Dual-Track Design

• GeoAI in a Meeting targets C-level executives, focusing on strategic positioning, governance framework, data strategy, risk management, talent development, and investment decisions;
• GeoAI in a Day targets technical roles, covering getting started guides, data engineering, model lifecycle, deployment architecture, responsible AI, and toolchains.

Shared Foundation

Both books share a checklist containing over 150 planning questions, labeled with corresponding roles and levels, ensuring that strategic choices correspond to technical implementation, developers understand the value of their work, and cross-level communication has a common framework.

Quarto is used as the document engine, with advantages including multi-format output, code execution, academic friendliness, and version control friendliness; GitHub Actions are configured to implement CI/CD automation, triggering build and deployment on each push; local preview and verification scripts are supported.

Content is generated using the 'human-guided agentic workflows' model. AI agents must follow rules: expand content using over 150 questions as a roadmap, create both decision-maker and developer versions when adding new topics, verify quality through scripts, and use Mermaid diagrams, etc., to ensure content consistency and alignment.

Target Audience

• Decision-makers: First read the brainstorming guide, organize cross-departmental workshops, and focus on strategy-related chapters;
• Developers: First read the getting started guide, dive into professional domain chapters, and cross-read corresponding strategic content;
• Consultants: Use as project initiation checklists, communication frameworks, delivery templates, and training foundations.

Expansion Directions

Upcoming chapters will include partner management and API integration, communication reports and visualization, regulatory compliance and audit tracking, etc., adhering to the principle of pairing strategy and tactics.

Innovative Value

1. Dual-track knowledge organization serves different audiences;
2. Human-AI collaboration generates high-quality documents;
3. Provides methods for strategy-tactics alignment;
4. Open-source collaboration for continuous iteration.

Summary

GeoAI Playbooks is a practical resource that bridges the gap between strategy and execution, providing organizations with a complete framework from thinking to action. Its methodology is worth learning for technical writers and knowledge managers. The project has been deployed to GitHub Pages (https://eshook.github.io/geoai-playbooks/).