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Chat-based AI course authoring: why SCORM still matters in 2026

Ian Tappan, CTO at Course Engine AI, argues that while generative AI simplifies drafting course content, SCORM compliance remains essential for learning management system tracking in 2026. He warns that teams often mistake AI presentation tools for SCORM authoring tools, leading to integration failures.

read1 min views1 publishedJul 21, 2026

Generative AI made it easy to draft slides. It did not make LMS delivery go away.

If you build training for associations or internal L&D teams, the hard part is rarely "can the model write paragraphs." The hard part is turning subject-matter expertise into structured learning that a learning management system can track—usually via SCORM 1.2 or SCORM 2004 packages. Chat-based authoring ("vibe coding" for courses) lets a subject-matter expert describe topic, audience, and goals in plain language. A pedagogy-aware agent can draft outcomes, storyboards, slides or scrolling lessons, scripts, and narration. That collapses the blank-page problem.

AI presentation tools optimize for decks and visual storytelling. SCORM authoring tools optimize for packaged learning with completion/score tracking. Teams get burned when they buy the first category and expect the second.

I’m Ian Tappan, CTO at Course Engine AI where we build chat-based AI course authoring for associations and training teams. If you’re exploring this space, I’m always happy to compare notes.

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