D — Design Through Stages: The Five-Stage AI-Assisted Workflow
The 'D' in RAPID-AI — the operational core of the framework: a 5-stage workflow defining exactly where AI drafts and where a human finalizes.
Blogs on Instructional Design
How L&D Leaders Should Evaluate AI Use in Instructional Design
Learn how L&D leaders can evaluate AI use in instructional design teams by measuring design quality, human judgment, consistency, rework, and...
Same Claude, Different Outcome: Why Expertise Changes the Result
Two IDs approached the same learning brief with the same AI tool. The results were completely different & the reason why has nothing to do with the...
I — Introduce Challenge: Use AI to Critique, Not Just Create
The 'I' in RAPID-AI: how using AI to critique drafts, not just generate them, catches errors before they reach SME or instructional review.
What Does Disciplined GenAI Adoption Look Like in L&D?
Learn how disciplined GenAI adoption helps L&D teams improve quality, preserve human judgment, strengthen reviews, and scale learning responsibly.
P — Prompt With Purpose: Turning AI Into a Repeatable Production Input
The 'P' in RAPID-AI: how task-specific prompting turns AI from a novelty into a repeatable production input for instructional design teams.
What Claude Can (and Can't) Do for Instructional Design
A clear breakdown of exactly where Claude adds value in ID & the specific decisions that still require human expertise, mapped side by side.
Why We Chose Claude for Instructional Design and What We Were Solving For
Dozens of AI tools are available to L&D teams today. Here's the evaluation criteria that led us to Claude, and the specific instructional design...
How to Convert a PDF into Effective eLearning: A Practical Guide
Learn how instructional designers turn PDF content into performance-focused eLearning through analysis, content mapping, practice, and assessment.