INDIE

INDIE: A Field Guide to AI-Augmented Learning and Development
INvestigation-Design · Development · Implementation · Enhancement

The tools have changed. The standards haven't.

In an era where generative AI can draft a learning objective in seconds, produce scenarios in minutes, and synthesize stakeholder feedback at unprecedented speed, instructional designers, learning experience designers, and L&D professionals face a critical question: What is our work now?

INDIE is the practical framework built for exactly this moment. Moving beyond the limitations of traditional ADDIE in an AI-augmented world, this field guide integrates artificial intelligence at every stage while keeping human judgment, pedagogical rigor, and real organizational results at the center.

Drawing on decades of experience teaching classical languages, designing high-stakes technical training in the utilities sector, and leading AI integration efforts, author

The author delivers:

• A clear-eyed explanation of what AI actually is, what it does well, and where it reliably fails
• Concrete strategies for prompt engineering and context architecture that produce reliable results
• Phase-by-phase guidance through INvestigation-Design, Development, Implementation, and Enhancement, with ready-to-adapt prompts, examples, and quality standards
• Role-specific chapters for instructional designers, LXDs, facilitators, performance consultants, L&D managers, technologists, solo practitioners, and more
• Practical governance, ethics, and organizational transition strategies to protect quality and professional accountability