I know there's a lot of controversy out there about using AI for course development, and both sides have their points. The biggest concern I've seen out there is regarding "AI 'slop'," and the people expressing those concerns aren't wrong. There's a lot of slop out there. As an instructional designer, it's my job to make sure that I'm not producing slop. Everything I publish has my name on it, whether the learner sees it or not. My manager sees it. My team sees it. I see it. I am accountable for everything that I produce, whether I produce it all myself or with the help of AI. So let me share a bit of my process — which is still evolving as I learn and experience more every day. Right now, my solid go-to is building with Articulate Rise with a heavy lean into code blocks to build reflection blocks that collect responses from the learner, track them, and provide a printout option at the end of the course. I've also used code blocks to create highly interactive blocks that display and compare information using filters, enable calculations and experimentation with numbers, and enable practice scenarios. I'm also experimenting with using Claude Design to produce click-through interactive eLearning with the same block options mentioned above. Claude will publish in SCORM compliant format or html if I want a standalone version. In both cases, I've been using ChatGPT to create my images. And I love Articulate Rise and the code blocks, but there's definitely something attractive about Claude Design in that I can restructure and make sweeping updates quickly and easily; no drag and drop required. I now have (mostly) the ability to bring the vision I have for my course to reality, where without AI, I'm limited to what I can code and what my budget allows for stock images or artwork. The assumption out there, though, seems to be that this means I can just churn out lots of content in a short period of time. The truth is, not if I want quality work and take my accountability seriously.