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.
What changed
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.
What did not change
- Outcomes still need to be explicit.
- Assessments still need to measure something real.
- Delivery still has to land in the LMS the organization already uses.
A practical distinction
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.
A short evaluation checklist
- Can SMEs draft without becoming full-time instructional designers?
- Can you export SCORM 1.2 and SCORM 2004?
- Can you update one source and keep multiple LMS destinations in sync (dispatch-style workflows)?
- Do you also need instructor-led delivery, not only self-paced modules?
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.
