A 5-stage pipeline for combining instructional design and AI in course production: humans design the architecture, AI produces inside it.
AI changed the production layer, but swapping Storyline for a language model without a pipeline just makes bad courses faster. What actually determines quality.
Why AI-generated courses fail and AI-assisted courses succeed: design the learning architecture by hand, then let AI produce inside your constraints.
The average e-learning completion rate is under 15%. Here is the real reason — and a proven framework for fixing it that does not require making your courses shorter.
Why a single LLM prompt wasn't enough — and how splitting curriculum generation into specialized agents cut production time while improving consistency across the e-learning team.
A curriculum has components, dependencies, and failure modes — just like a distributed system. How applying software thinking to instructional design changed the way our team ships at scale.
In 2026, learners won't sit through an hour of anything. The fix isn't shorter videos — it's rethinking the unit of content entirely.
Every platform has content. The ones that actually change behavior have something else — a system for how people learn, not just what to show them.